Applied Machine Learning Online Course

₹32,500.00 ₹25,000.00

Applications of non-gaussian distributions? How to use correlations?Download Our Syllabus ( click on CURRICULUM tab to view lessons)

Obective of Applied AI/ Machine Learning Online Course:

The AppliedAICourse attempts to teach students/course-participants some of the core ideas in machine learning, data-science and AI that would help the participants go from a real world business problem to a first cut, working and deployable AI solution to the problem. Our primary focus is to help participants build real world AI solutions using the skills they learn in this course.

This course will focus on practical knowledge more than mathematical or theoretical rigor. That doesn’t mean that we would water down the content. We will try and balance the theory and practice while giving more preference to the practical and applied aspects of AI as the course name suggests. Through the course, we will work on 20+ case studies of real world AI problems and datasets to help students grasp the practical details of building AI solutions. For each idea/algorithm in AI, we would provide examples to provide the intuition and show how the idea to used in the real world.

Key Points:

  1. Validity of this course is 365 days( i.e Starts from the date of your registration to this course)
  2. Expert Guidance, we will try to answer your queries in atmost 24hours
  3. 10+ real world case studies and 5 case studies will be given as assignments to build your portfolio. please click here to view the sample portfolio
  4. 30+ machine learning and Deep learning algorithms will be taught in this course.
  5. No prerequisites– we will teach every thing from basics ( we just expect you to know basic programming)
  6.  Python for Data science is part of the course curriculum.
  7.  The content of this course will be dynamic(i.e lessons will be added if there is an exceptional paper published)

 

Target Audience:

We are building our course content and teaching methodology to cater to the needs to students at various levels of expertise and varying background skills. This course can be taken by anyone with a working knowledge of a modern programming language like C/C++/Java/Python. We expect the average student to spend at least 5 hours a week over a 6 month period amounting to a 145+ hours of effort. More the effort, better the results. Here is a list of customers who would benefit from our course:

Undergrad (BS/BTech/BE) students in engineering and science.

  1. Grad(MS/MTech/ME/MCA) students in engineering and science.
  2. Working professionals: Software engineers, Business analysts, Product managers, Program managers, Managers, Startup teams building ML products/services.
  3. ML Scientists and ML engineers.

Click Here to Download Our Syllabus

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Course Features

  • Lectures 733
  • Quizzes 0
  • Duration 140+ hours
  • Skill level All levels
  • Language English
  • Students 5249
  • Assessments Yes
QUALIFICATION: Masters from IISC Bangalore PROFESSIONAL EXPIERENCE: 9+ years of Experience( Yahoo Labs, Matherix Labs Co-founder and Amazon)
₹32,500.00 ₹25,000.00

    524 Comments

  1. I want to learn about Named Entity Recognition(NER). Please suggest some links with code samples.

    Thanks,
    Mehul

  2. I’m a management student in business analytics.I don’t have much programming skills.Is this relevant for people who want to start their career as data analyst/business analyst? Are there people from this domain who enrolled in this course?

    • AppliedAI
      March 17, 2019

      Please feel free to call us at +91 8106-920-029 or +91 6301-939-583 so that one of us can better understand your background and we can have a detailed discussion with you on this.

  3. hello sir this is divyam raj i was looking for a data science course is this course helpful?

  4. Anilkumar2029
    March 8, 2019

    Can u also include Forecasting

    1
    2
    • AppliedAI Team
      March 9, 2019

      We already have case studies ‘Taxi Demand Prediction’ on time series forecasting problem. Please go through that.

  5. Krishna Vishwakarma
    March 6, 2019

    I am 29 years old. I had completed Bsc. IT and Working as an executive since last 4 years. Would you please suggest me that should this course is useful for me. If I want to make my career in machine learning. Is it possible for me to change my current profile to machine learning. Please guide me.

    1
    1
    • AppliedAI
      March 6, 2019

      Please feel free to call us at +91 8106-920-029 or +91 6301-939-583 so that one of us can better understand your background and we can have a detailed discussion with you on this.

  6. Hello sir
    Please can you explain the attention and self attention in your videos.

    • theDataGeek
      March 4, 2019

      The concept of Attention is simple if you understand what it does. It basically takes the output from all the time steps in the encoder and append it and pass it in the decoder section in something called Context Vector so that the decoder can see which encode the state of LSTM was important to decode.

      • Thanks for replying.
        I have confusion in self attention, what does keys query and value mean and what would be the dimension of these?
        I want to understand QA-net that basically uses self attention please help.

  7. Hello ,
    I am btech(IT) graduate and it’s been 6 months i started working as a Quality engineer in a software company , my concern is that i have my 12th score is less than 60% , but above 70% in btech and 10th would my 12th percentage become any kind of a pebble here in job scenario
    Please reply in this context

    • AppliedAI
      March 4, 2019

      Please feel free to call us at +91 8106-920-029 or +91 6301-939-583 so that one of us can better understand your background and we can have a detailed discussion with you on this.

  8. Admin bar avatar
    Neelesh Sharma
    March 3, 2019

    Is this course recommended for students directly after High School. It it equivalent to the professional degrees for career building? Happy to discuss over phone call.

    • AppliedAI
      March 4, 2019

      Yeah sure, Please feel free to call us at +91 8106-920-029 or +91 6301-939-583 so that one of us can have a detailed discussion with you on this.

  9. 7akshay10
    March 3, 2019

    Can you also add excel tutorial like you have add for MySQL.

  10. Ayush Sharma
    March 3, 2019

    Hii team@appliedaicourse.com,
    I’m running three days behind which I having trouble following the schedule, that is impacting on my study. I’m not properly following the schedule that you created.
    Please help me sir

    • you need to be very hard on the schedule, if you are lagging on a few days, you can spend more time on weekends and align with the schedule.

  11. i have not done any good project in my Btech final year.But i am applying for pgee i.e entrance exam for iiit hyderabad. In the application form they are asking for my project details. so in what way this course is helping me to do the project within two months of time.And i have no idea about machine learning projects. is there any project included in this course ?

    • AppliedAI Course
      March 1, 2019

      Case studies, comprising of problems from various domains are part of the course.
      regarding ability to complete the course in two months, this will depends on learning potential and the number of hours one can spare daily.

  12. February 28, 2019

    My system configuration is i5(5th gen), 8 Gb RAM and 4 GB Nvidea Graphic card(920M).
    Can you please tell me is it good for this course?

  13. Plz give me total ipynb pdf drive link

    • AppliedAI Course
      February 23, 2019

      We have structured the course such that whenever a concept is being covered, link for the ipython notebook(wherever there is a code explanation) is provided in the same page.

      3
      1
  14. February 22, 2019

    Hi,

    I have basic question
    What is the difference between AI, ML, and Data science ??

  15. February 20, 2019

    sir how many months it would take to complete the course and what should be the prerequisite for the course?

    • Applied AI Course Team1
      February 20, 2019

      6 months and pre-requisite is basic mathematics understanding. Everything will be taught end to end.

      • sivamsinghsh
        February 27, 2019

        what if someone is weak in mathematics from the basic then should he enrolled to this course

        • AppliedAI Course
          February 27, 2019

          Dont worry. All the mathematics required will be covered as part of the course in simple and easy to understand terms.

  16. VedantKulkarni
    February 16, 2019

    Hi. I would like to know what system requirements we require to follow the course assignments and lectures. Is it possible to run the assignments or any given code in Google Colab or Kaggle Kernels, as they provide free GPU(also TPU in Colab case). I am really interested in joining the course and would like to know clear recommended specifications that our machine should possess. Apologies if the question is repeated.

  17. Harry Singh
    February 12, 2019

    I did ML course in coursera previously, Now i decided to do applied Ai course.My current qualifications is Diploma(cse) . Just suppose i have done with all the casestudies nd submit all assinments. Can i get an internship in ML or data science role in industry after completing this course?

    • AppliedAI
      February 12, 2019

      Yes, we do help you with both internships and full-time roles as you progress through and complete the course. Please call us +91 8106-920-029 or +91 6301-939-583 to know more details.

      3
      1
  18. Pankaj kushwaha
    February 12, 2019

    Hi
    Can you please clarity a doubt .
    Will Google AutoML eliminate the need for ML specialists in future ?
    Please share your views regarding this.

    Thanks,
    Pankaj

    3
    1
  19. February 10, 2019

    Hello Team,

    I am Kunal Singh, from Bangalore. I have worked as a data analyst in a company for the tenure of 2.2 years. I belong form the Commerce stream as i have completed my BBM. But i do have a good knowledge of Excel and MS products coz i was used to it in my profession. As i had worked in IT company i wish to phosphor in this domain.

    I am Afraid of not having any Technical educational background like B.tech or CS. As i have done some of the research and Investigation i came to know the Programming languages like C,C++ and Java are important skills to learn ML and AI. I have engaged myself on learning these stuffs as of now.

    As per my above concern, would be i able to Join AAIC and learn AI and ML. I can See all the other friends here belongs from the technical background 🙁 🙁 :(.

    I am keen to Learn.

    Please suggest me.

    • AppliedAI
      February 10, 2019

      Please feel free to call us at +91 8106-920-029 or +91 6301-939-583 and we can explain to you how students who have no coding background could still land a job at the end of the course.

  20. Hi Team,

    The Live sessions are they going to be recorded and saved somewhere?

    Regards,
    Sandeep

    • AppliedAI
      February 10, 2019

      yes, but we strongly encourage our students to attend live sessions so that it becomes a regular habit. Our registered students would be able to access older live sessions after a significant delay and not immediately after the session.

  21. February 9, 2019

    since your course offer jobs .. so what is range of salary to the fresher , who completed your course with your assignment with your given time duration

    • Applied AI
      February 9, 2019

      Kindly give us a call on 91-6301-939-583 (or) 91-8106-920-029 to have further and detailed discussion on it.

  22. February 8, 2019

    The content in each of the videos are intuitive also many tough topics are elucidated clearly. I really appreciate if you could also include more Deep Learning content along with Reinforcement Learning content which is totally absent in the course.

    • Applied AI Course
      February 8, 2019

      We intentionally left out Reinforcement learning not to overwhelm the students. We have covered most of the key concepts in deep learning and would surely add more in the near future. Thank you for your feedback.

  23. Hi Team,

    Are there any practice questions available for the initial lectures up to 4.11?

    • AppliedAI Team
      February 6, 2019

      You can check in our classroom, we have some assignments regarding python.

      2
      1
  24. Dilip Reddy
    February 5, 2019

    i did not get any email about joining google classroom

  25. raviraz.sahu
    February 4, 2019

    Hi,

    I works at a MNC as Java Developer.I am a Bsc graduate in Mathematics.Can I go for this course? If yes, then how will be my IT carrer here after?
    am i able to manage all this because as i said I am an full time employee in a MNC?
    I will begreatful if you let me know the process and all.
    Thank you.

    • AppliedAI
      February 4, 2019

      Please feel free to call us at +91 8106-920-029 or +91 6301-939-583 so that one of us can better understand your background and we can have a detailed discussion with you on this.

  26. Hi, I am a 2016 batch passout in production engineering student with 6 months of experience in manufacturing sector but now I feel like switching my profile to Machine learning. So, would this course be beneficial to me as I have Non IT background with almost 2 years of gap after B Tech. Please help me out..

    • AppliedAI
      February 3, 2019

      Please feel free to call us at +91 8106-920-029 or +91 6301-939-583 so that one of us can better understand your background and we can have a detailed discussion with you on this.

  27. Hi Team,
    As i have completed by b.tech in 2016 and i have got job opportunity in 2018 working as full stack developer and i want to move to AI , how can this course helpful to me as a employee after working hours i have less time to cover this course . And i want to know is there will be any problem for me while attending interviews after completing this course where i have a gap after my graduation.

    • AppliedAI
      February 4, 2019

      Please feel free to call us at +91 8106-920-029 or +91 6301-939-583 so that one of us can better understand your background and we can have a detailed discussion with you on this.

  28. I am considering going into DS/ML/AI and this course seems to fulfill most of the requirements. Sir, can you please confirm the fee / payment structure? On the website it say one year validity for $25K. Will I have access to video/lectures after one year. I would like to have continued access to material to come back for revisions. Let me know please, I really like the course and would like to enroll.

    • AppliedAI
      February 3, 2019

      Please call us at +91 8106-920-029 or +91 6301-939-583 so that we can better answer your question more accurately.

  29. NatrajVikram
    February 1, 2019

    Hello Team,

    How many assignments are included totally in this course? (including case study assignments)

    • Applied AI Course
      February 2, 2019

      Thirty assignments, as of now. We constantly change these 30 assignments on regular basis.

  30. Sir,
    I have heard that Statistics is one of the most important, if not THE most important, part of Data Science. So, does it make sense to first get a solid understanding of the core concepts of Statistics before starting with the course?? That way maybe one can get even more purchase from the lectures. Or will the lectures under the “Probability And Statistics” section of the course suffice for understanding the Statistics portion of the Data Science???

    • Applied AI Course
      February 2, 2019

      We cover all of the core and foundational concepts needed for Data science on the Probability and Statistics chapter.

  31. sadiashafaque
    January 30, 2019

    What is the eligibility for the job guarantee which you provide?

    • Applied AI Course
      January 31, 2019

      Please call us on +91 8106-920-029 or +91 6301-939-583 to know more.

      • sadiashafaque
        February 1, 2019

        okay sir, one more query to ask, is this machine learning course complete or you will be adding more content to it?

        • Applied AI Course
          February 2, 2019

          The course is never complete as we constantly add, edit and remove topics based on industry needs and students feedback. We have changed a very significant amount of of the course in the last 3 months. It is a very dynamic course

  32. What is the difference between tensorflow and tensorflow 2.0?
    Which part of this course will get affected by tensorflow 2.0?

  33. Pankaj kushwaha
    January 27, 2019

    Hi ,
    It will be great if you can provide a keyboard shortcut to directly move to next video 🙂 .
    Thanks,
    Pankaj

    • Applied AI Course
      January 28, 2019

      Sure. Will add it as a requirement for the next update of our website. Thank you for your suggestion.

  34. shaurabh
    January 25, 2019

    Hi Team,
    Could you pls tell me if I am working on Insurance Fraud Claim.If it is being told that Random forest is among the best algorithm,
    then why not to apply it directly on the Insurance dataset,instead of trying any others(Since RF is well tested algorithm)?
    Pls clarify in real world scenario.
    Secondly,What is SMOTE?How to apply?

    Thanks

    • Applied AI Course
      January 26, 2019

      1. Why not use GBDT or SVM or another method? Why RandomForest? It is best to choose the best-performing algorithm that also satisfies other business and real-world constraints like latency, interpretability, cost of training and evaluation, availability of probabilistic class labels etc.

      It is best to try out various methods which satisfy the real-world constraints and pick the one that actually performs best. It is best to avoid any favorites. If the data shows that RF is the best method for your task, then you should certainly go with it.

      2. SMOTE is a method to generate synthetic and new data-points using k-NN especially when we want to tackle the class-imbalance problem through upsampling.
      Refer:https://en.wikipedia.org/wiki/Oversampling_and_undersampling_in_data_analysis#SMOTE

  35. Prashant Soni
    January 24, 2019

    After successfully completing the course.Am I able to create a chatbot?

    • Applied AI Course
      January 25, 2019

      Yes, you will be able to build a chatbot by the end of this course.

      1
      1
  36. shaurabh
    January 24, 2019

    Hi Team,
    What is the difference between Regularized Logistic regression and linear svm?
    Thanks

    • AppliedAI
      January 24, 2019

      Both objectives have the same components: the loss function and the L2 penalty. It is also true that these two models often give very similar performance.
      However there is fundamental difference: Logistic Regression outputs probabilities and SVM maximizes the margin. The point of SVMs is that is ignores all but the close points (support vectors) in the loss. In that sense it “maximizes margin” quite explicitly in a way that logistic regression does not.

  37. January 22, 2019

    Hi Team, i see there is not a lot of NLP related content in the course. Can you suggest a few links with good content for NLP?

  38. ayush raj
    January 22, 2019

    i am curently in second year of engineering, my cgpa is low(around 6 cgpa) , even if i cover this course with good grades , will i get offer from top notch companies. will cgpa affect my career in anyways?

    • AppliedAI
      January 22, 2019

      Please call us at +91 8106-920-029 or +91 6301-939-583 so that one of us can better understand your background and we can have a detailed discussion with you on this.

  39. Hi Team,
    I am from a testing background but i know coding basics as i have worked on selenium with Java. I am having total 7yrs of experience in IT as a tester, but i really want to move to data science or AI. I want to change my career path , will it be ok for me to move to AI or Data science. After completing this course what will be the career prospect will i be a treated as a fresher in market. Please suggest.

    • Applied AI Course
      January 22, 2019

      Please reach out to us at +91 8106-920-029 or +91 6301-939-583 so that we can have a detailed discussion with you on this.

  40. shaurabh
    January 21, 2019

    Hi,
    how do we get requirement in which form in real world as it may be from multiple source and how do we make ready to use single format e.g. csv?
    How do we present our result to client?
    Thanks

    • Applied AI Course
      January 21, 2019

      1. Just like any project, you talk to all the stakeholders to understand the project requirements in detail and document them clearly.
      2. Databases, Data-warehouses, CSV, text-files etc.
      3. Mostly through plots and detailed writeup of the findings.

  41. shaurabh
    January 19, 2019

    Hi Team,
    Why GBDT provides better performance
    and accuracy than bagging(RANDOM FOREST)?
    Pls elaborate.

    Thanks

    • AppliedAI Team
      January 19, 2019

      GBDT does not always give better performance than random forest. but many times we will get better performance because it trains tree based on errors of before tree. random forest makes many trees with random sample data and gives the majority vote.

      • shaurabh
        January 19, 2019

        Why we are taking F0(x)=L(Yi-gamma) instead of F0(x)=L(Yi-Ypred) as error should be initially Yi-Ypred to start with,Rather that not being (Yi -gamma) in GBDT or XGBOOST?
        Pls clarify in detail,as I am totally confused.

        Thanks

        • AppliedAI Team
          January 19, 2019

          gamma in base model F0 indicated predictions values only. don’t confuse with learning rate gamma, that is different.

          • shaurabh
            January 19, 2019

            But as in wikipedia,

            F0(x)= argmin_gamma SUM_1ton{ L(Yi,gamma) }

            Here, as written above gamma is a part/term of complete eqn. of F0(x).
            So,how “gamma in base model F0 indicated predictions values only”?
            Pls clear me as always 🙂

            Thanks

          • AppliedAI Team
            January 19, 2019

            please check in this video.

  42. January 18, 2019

    And one more query, I want to ask is about the case studies – some times when we understand the concept and cannot work on case study but need some more understanding of the question being asked or sometime hints, then can we contact you for the same?

    • Applied AI Course
      January 18, 2019

      We mentor you through the case studies that you would work on. More importantly, you would have seen many case-studies in the course itself and hence you would be able to take our hints and proceed. Of course, you would have to put in a reasonable and non-trivial amount of effort from your end also.

  43. January 18, 2019

    Hi Team,

    I went through some of the free available videos. And I could see that you are explaining the concepts in a fairly easy manner but my concern is about the code. I could listen the faculty saying that we can download the code using notebooks but what is the meaning of each line of code? Which function is doing what? What else can we write to accomplish that same thing?

    As I am from programming background, I know that we can accomplish one task with many different ways, that is why, I am a bit confused and curious to know the answer to this please.

    Where can we get the answers to these queries? It would be great, if you can help me getting answers to these queries.

    Thanks,
    Gurmeet Kaur

    • Applied AI Course
      January 18, 2019

      Gurmeet, we explain the basics of Python in the very first chapter. We also explain each of the key functions in detail as and when we progress through the course. But, as we progress through the code, we may not go line by line as we have seen similar code earlier. If you do not understand any segment of code, feel free to put it in the comments section under the video. We would respond with a clarification. It is impossible to cover all the ways to achieve the same task as there are sometimes tens of ways to do the same using different functions and libraries. We try and provide one of the more commonly used and efficient ways. Additionally, we want our students to have the ability to navigate through ML code comfortably by the end of the course. Hence, we avoid going over code line by line in the later chapters of the course as similar concepts have been covered in earlier chapters. If there is some new concept, we would surely go over it in detail. We want our students to put in the effort to understand the code on their own especially in later chapters as they would have to do it in their jobs once they complete the course. If there is any blocker, we are always here to help.

      Please call us on +91 8106-920-029 or +91 6301-939-583 to learn more about this.

  44. Pankaj kushwaha
    January 16, 2019

    HI ,
    How much percentage case study weight in applied ai course ?

    Thanks ,
    Pankaj

    • Applied AI Course
      January 17, 2019

      Close to 40% of the content and 50% of the assignments are from case-studies.

  45. Hi AAIC,

    My friend attended interview with Accenture with 2 years Data Science Experience, below are the list of questions was asked to him:

    1. Explain about yourself
    2. Explain the projects that you worked for
    3. What is the difference between logistic and linear
    4. What is SIgmoid function
    5. What is the difference between sigmoid and softmax function
    6. what is validation
    7. what s statification
    8. what is bootstrap validation
    9. What is cost function
    10. Why is cost function so important in model
    11. When did you apply cost function
    12. What is optimizer
    13.I have 10 Million records with 60 features, what is your approch to build a logistic regression
    a. which validation you choose
    b. which model you choose
    c. Which optimizer you choose
    d list the optimizers you know and explain the best one you choose for this problem
    e. Where do you get the data ? is it from online or warehouse?

    14.what is clustering and explain various clustering algorithms
    15. Write psudo code of Density based clustering
    16.Have you ever worked on SVM ? tell me the advantages
    17. What is the node entropy
    18. How is Rnadom forest is different from Xgboost
    19. What are the most significant parameters for the xgboost
    20 Why you preferr XG boost for both Liner and logistic
    21. What is PCA
    22. I applied PCA on 50 features and how many new feature will I get
    23 WHat is Eigan vector
    24. How you deploy your model into production
    25. What Hadoop cluster you are using

    Please give us some links or study materials if you find any topic missed in AAIC course with respect to above-listed questions.
    Thanks

    • Applied AI Course
      January 15, 2019

      These are some of the easier questions in interviews. We have covered all go these concepts except (Q-25) about Hadoop in our course.
      For Hadoop cluster, I guess the interviewee mentioned that he is working on Hadoop and hence he was asked which version of Hadoop and which distribution of Hadoop and probably what configuration he was using. We have also not covered (Q-1) as it changes from person to person!

      • Hi, can you please explain what is your answer for below questions

        22. I applied PCA on 50 features and how many new feature will I get

        13. I have 10 Million records with 60 features, what is your approch to build a logistic regression
        a. which validation you choose
        b. which model you choose
        c. Which optimizer you choose
        d list the optimizers you know and explain the best one you choose for this problem
        e. Where do you get the data ? is it from online or warehouse?

        • Applied AI Course
          January 16, 2019

          22. You can get any number of features <=50 post PCA. If you want to pick the smallest number of features while maximizing the variance preserved through PCA, we apply the elbow method to determine the best number of features which would vary from dataset to dataset.13. First break the data randomly into train, CV and test datasets assuming there is no temporal ordering in the data-points. Next, we may not need all for the 10MM data points to build an LR model. Since LR is not a complex model, we should randomly sample the train data and build a model and measure it's performance. Increase the sample size and observe if there is any improvement in the model. At some point, increasing the sample size would not improve the model performance dramatically. Now, we can use this trained model on a much smaller sampled data than training the model on all of the 10MM points.a. simple CV or k-fold CV. b. LR+ L2-regularization. Would use L1 regularization if we want a sparse weigh-vector. c. batch-SGD. Works well in practice and is fast. d. SGD, GD, ADAM, ADAGRAD, RMSPROP, ADADELATA. This is a simple model and hence we will stick to batch-SGD. e. LR can be made to work in both cases: batch data from a warehouse or streaming data.

  46. sriniharika
    January 12, 2019

    sir i am btech 6th semester(3rd year) cse student after completing this course will your team help me in getting an ai based job or an internship in my 4th year.

    • Applied AI Course
      January 12, 2019

      Yes, we do help you with both internships and full-time roles as you progress through and complete the course. Please call us +91 8106-920-029 or +91 6301-939-583 to know more details.

  47. shaurabh
    January 11, 2019

    Hi Team,
    Suppose I have created a model in Jupyter notebook.How do we deploy to the production enviroment in real time?

    • AppliedAI Team
      January 11, 2019

      you can create an API and deploy.

      • shaurabh
        January 11, 2019

        Hi,
        Could you pls elaborate how to create api?Pls tell me the code and steps ?
        Thanks

        • AppliedAI Team
          January 11, 2019

          You can check in our video.

          • Ashok kumar Gopisetty
            February 28, 2019

            Hi. I would like to know what system requirements we require to follow the course assignments and lectures. What if I had a laptop with i3 processor and 8 Gb Ram

          • Applied AI
            February 28, 2019

            Minimum Recommended PC Specifications:
            RAM: 8GB or above
            Processor: i5 or above

            You also can use online platforms like GCP, AWS, etc for assignments.

  48. What stipend / package can I expect under the job guarantee program as an intern or a fresher for the data science role earned with your assistance?

    • AppliedAI
      January 11, 2019

      Please call us at +91 8106-920-029 or +91 6301-939-583 so that we understand your current role and better answer your question more accurately.

  49. Debrup Majumdar
    January 10, 2019

    Hi Applied AI,
    Course Content looks really interesting with most of the topics covered. I would love to apply for this course . I need some some information from your side.
    I have around 9 years of Backend programming background. With good command on SQL. Working Knowledge of spark and python. Currently I am working in Data science team (as Backend developer.). ALso I have around 3 years of Finance domain knowledge and keen interest in Risk Management and Portfolio Management.
    Given my background can this course help me in progressing my career in Machine Learning?

    • AppliedAI
      January 10, 2019

      Please call us at +91 8106-920-029 or +91 6301-939-583 so that we understand your current role and better answer your question more accurately.

  50. Syed Kaamran Pasha
    January 9, 2019

    Sir, @Srikanth & team, I have gone through all the Success stories & just a visual pattern, Almost 80% of the hired ones are Freshers, & the rest have Software development experience, What about people from IT whom don’t have Software development or coding experience ?.. How does AppliedAIcourse make sure that hiring is guaranteed for such a candidate ?..

    • Applied AI Course
      January 10, 2019

      Please call us at +91 8106-920-029 or +91 6301-939-583 and we can explain to you how students who have no coding background could still land a job at the end of the course.

  51. prasant
    January 8, 2019

    Sir , I am from non coding background though i understand the concept of python, i am also trained in tableau . but the real job scenario is demanding 1-3 yrs experience in relevant field….. is it sure after this training job is guareented . do u provide class room training……

    • Applied AI Course
      January 9, 2019

      Please call us at +91 8106-920-029 or +91 6301-939-583 so that we can better understand your background and discuss with you in person.

  52. shaurabh
    January 4, 2019

    Hi,
    What is likelihood,log-likelihood and maximum likelihood?
    What is maximum likelihood in logistic regression?
    Thanks

    • AppliedAI
      January 5, 2019

      1. Given the observed data and a model of interest, we need to find the one Probability Density Function/Probability Mass Function (f(x|θ)), among all the probability densities that are most likely to have produced the data.

      To solve this inverse problem, we define the likelihood function by reversing the roles of the data vector x and the (distribution) parameter vector θ in f(x| θ), i.e.,

      L(θ;x) = f(x| θ)

      In MLE, we can assume that we have a likelihood function L(θ;x), where θ is the distribution parameter vector and x is the set of observations. We are interested in finding the value of θ that maximizes the likelihood with given observations (values of x).

      2.Maximum likelihood estimation (MLE) is a technique used for estimating the parameters of a given distribution, using some observed data. For example, if a population is known to follow a normal distribution but the mean and variance are unknown, MLE can be used to estimate them using a limited sample of the population, by finding particular values of the mean and variance so that the observation is the most likely result to have occurred.

      3. For many applications, the natural logarithm of the likelihood function, called the log-likelihood, is more convenient to work with. This is because we are generally interested in where the likelihood reaches its maximum value: the logarithm is a strictly increasing function, so the logarithm of a function achieves its maximum value at the same points as the function itself, and hence the log-likelihood can be used in place of the likelihood in maximum likelihood estimation and related techniques.

  53. Hi Sir,

    Does this course help me in solving Kaggle problems or will be in a position to face the kaggle competitions after completion of this course

    • AppliedAI
      January 4, 2019

      Yes, we solved many real world problems in our case studies taken from the kaggle.

  54. January 1, 2019

    Hi Team,
    I have around 10 years of experience in IT industry mainly with Java and related technologies. Currently working as technical lead. Should I consider shifting to ML, AI domain now? Also, does this course covers ai as well or only ml?

    • Applied AI Course
      January 2, 2019

      This course covers the breadth of techniques across ML and AI which are currently relevant to the industry. Given your experience, it is best if you could call us and discuss this over the phone where we could understand your background and answer your questions better. Please call us at +91 8106-920-029 or +91 6301-939-583.

  55. hi
    is this course contains the concept of objects , classes, constructors and destructors ???????

    • AppliedAICourseTeam 2
      January 1, 2019

      No, they are not covered in this course.

  56. Hello,
    I have spent close to 18 years in IT industry performing various roles as a QA, Dev, Support and lately at Management levels. My core skill is in designing solutions for business and testing. I wish to make a career shift in AI ML domain. Let me know if this is right move at this stage of my career and if there are enough opportunities for people of my age and experience.

    • Applied AI Course
      January 1, 2019

      Tushar, It is best to discuss this over the phone so that we can better understand your background and give you critical and comprehensive feedback. Please call us on +91 8106-920-029 or +91 6301-939-583.

  57. I don’t have knowledge on libraries like numpy, pandas….and all other libraries used in ML, is there any detailed explanation of these libraries in this course?

    • AppliedAI
      January 1, 2019

      Yes, we will explain how to use numpy and pandas etc in the course.

  58. Harsha chinni
    December 30, 2018

    Hi,

    I am interested to pursue this course online. So, as a part of this, will I be installing any software(s) during the course duration? If so, then what should be the basic configuration of the laptop that I use while pursuing this course online?

    • AppliedAICourseTeam 2
      December 30, 2018

      For GPU you can go with 1050ti Nvidia graphic card or 1060 or 1070. Try to assemble an SSD with >=128G. Keep a minimum of 8G ram preferable 16G. The hard disk is your call.

  59. mohammedarif.jmi
    December 25, 2018

    Hi,

    I have a total of 8+ years of experience in Siebel CRM data migration. I have enrolled in this course last month and am really excited and i must say i am really enjoying it. But i do have some concerns as well.

    Since i have a lot of experience in CRM (particularly in migrating data from legacy systems to Siebel databases):

    1. Are there opportunities in ML on CRM data in big companies?
    2. I would like to do 2-3 case studies in CRM area, will Applied AI team support and mentor me in understanding the CRM scenarios and help me in completing the case studies?
    3. Do companies hire 8+ years experience guy like me with fresh knowledge of ML considering the CTC expectation would be high compared to other fresh graduates who have completed the course?

    Very much appreciate your reply on this. Thank you very much!

    Regards,
    Mohammed Arif

    • Applied AI Course
      December 26, 2018

      1. Yes, Some of the largest CRM software developers like Salesforce have invested heavily in AI and built tools like Einstein. So, CRM is certainly a very fertile area for applications of AI as it contains lots of text and customer data.

      2. Certainly, as you progress through the course, we will work closely with you to build a portfolio of projects around the CRM field as it is your corer area of expertise. We will need lots of inputs from you on the domain-knowledge front as we are not experts in CRM. But, we can certainly will mentor you o the ML front.

      3. We have had students who have transitioned to ML roles with your kind of experience. But, the effort needed would certainly be more as you will have to prove your ML expertise + Domain expertise as employers would expect more advanced case-studies in your portfolio. Employers do pay a premium for domain expertise, which is critical for most ML projects. I think it is too early to talk about compensation now, but we will put in our best efforts to land you in the best possible role based o your expertise.

  60. December 24, 2018

    Hi,
    Is your job placement support restricted to India or you have tie-up with UAE (Dubai & Abu Dhabi) companies as well?

    Thanking you in advance for your valuable reply.

    • Applied AI Course
      December 25, 2018

      We currently have the Job-Guarantee limited to India and US only. We have NOT yet expanded and built our recruiter partner network in the middle-east.

  61. Hi,
    1) I am coming from Mainframe, and from last three year I am in Big Data Support project, having working knowledge of Hive, Hadoop, sqoop, etc; and understanding of spark-Scala, python, core JAVA ( from company training and self learning). Though when ever I tried for interview, since I am 12 Work exp, question come around like architecture and not like Developer. So, what interview question company will be expecting for MI, knowing that if they investing me with good money, they need more from me, as total Work of years experience.
    2) for doing assignment, do we have mentor-student and student-student forum, where we can clear our doubts ?

  62. shaurabh
    December 18, 2018

    How does ridge regression solves multicollinearity?Why lasso don’t?

    • AppliedAI
      December 18, 2018

      Yes, ridge Regression used when the data suffers from multicollinearity ( independent variables are highly correlated). In multicollinearity, even though the least squares estimates (OLS) are unbiased, their variances are large which deviates the observed value far from the true value. By adding a degree of bias to the regression estimates, ridge regression reduces the standard errors. Ridge regression solves the multicollinearity problem through shrinkage parameter λ (lambda). Have a look at the link here:
      https://stats.stackexchange.com/questions/104779/why-does-ridge-regression-work-well-in-the-presence-of-multicollinearity

      • shaurabh
        December 18, 2018

        Hi,
        I already went before through the link but couldn’t get intuation.Could you pls simplify a bit more.
        And,why don’t lasso(ya I got that it sparsity very easily through your video.But,why not solves multicollinearity?).
        Thanks.

        • AppliedAI
          December 19, 2018

          If two predictors are highly correlated LASSO can end up dropping one rather arbitrarily. That’s not very good when you’re wanting to make predictions for a population where those two predictors aren’t highly correlated, & perhaps a reason for preferring ridge regression in those circumstances.

          • shaurabh
            December 19, 2018

            Thanks.How does multicollinearity affects Random Forest?Actually I encountered this question.

          • AppliedAI
            December 19, 2018

            In terms of prediction, it does not affect much if the effect of multi-collinearity presents in both the train and test. However, feature importance score would be influenced, just like other methods such as linear/logistic regression.

            The explanation can be simplified if we consider two collinear variables. If two strong variables are chosen for a decision tree in RF, one must be picked for each split consideration and the other would not likely be picked again since the former has already explained the output variation for both of them (*). The prediction power of that tree does not drop though, so does the RF.

            However, in feature importance score, once one of the two is picked, the other variable is less important to bring any further output variation explanation since the two are correlated well. The overall importance of these two will be reduced

  63. Hi Applied AI team,

    Seaborn topic is not covered in EDA, Without basics unable to understand the code related to the seaborn package, Can anyone help me on it.

    Thank you,

    Regards,
    bayaprakash

  64. Vinit Sharma
    December 13, 2018

    Does this course contains –
    1. OpenCV
    2. Audio Recognition topics (including audio preprocessing)

    • Applied AI Course
      December 13, 2018

      1. We do cover OpenCV to the extent we need for our case-studies involving self-driving car. We donot dive deep into OpenCV as this is not a computer vision course.
      2. We perform lots of time-series analysis using Fourier transforms and discuss about Spectrograms as a featurization of audio data. We have a case-study about Music generation where we touch upon some audio topics like music encodings. But, as this is not an audio-processing course, we do not dive too deep into audio-signal processing and dive deep into techniques like Mel Frequency Cepstral Coefficients (MFCC).

      As part of our course, you will gain the ability to learn many concepts in CV and Audio-processing and use these concepts for ML tasks. We have had students who learned about and used MFCC to build singer detection systems. Similarly, our students were able to pick up SIFT and other feature engineering techniques in CV and apply ML models on top of them.

  65. Shivanand Otari
    December 10, 2018

    Hi Team,
    please correct me if I am Wrong
    1. C.I. is tool/technique which is using to making Rough not exact calculated estimation about data.
    2. It Gives us confidence that my calculation or understanding about data is x% of range is Right rather than throwing stones in the darkness.

    But do we need to take samples of data every time like it shouldn’t be mandatory activity, Right?

    thanks.

    • Applied AI Course
      December 11, 2018

      Yes, C.I gives you a range of values for a random-variable (like mean height of students in a class) and a confidence level (95%) associated with it to signify our “confidence” in this range.

      Without samples of X or the parameters of the distribution(like mu and sigma for Normal disb) of X, we cannot come up with a C.I.

      I think this question does not belong in this comment section. Please post questions under the respective and relevant videos.

  66. December 7, 2018

    Hi,

    I’m very new to ML, just covering statistics in Udemy. My 3 questions.

    1. Is it possible to get lifetime access and can I get access all case studies?
    2.I’m beginner, How many hours I need to spend per day to complete course and hands on?
    3. Do I get certification and mentor to guide me?

    • Applied AI Course
      December 7, 2018

      Hi Selva Kumar,
      1. We are currently restricting the access to one year only to ensure that students are disciplined to complete the course on time.
      2. Please use this sheet to fill in your effort so that we can give you a detailed topic-wise timeline that an average student of our course has taken to complete the course. You will get a detailed timesheet with efforts and duration within a day.
      3. You will get a certificate upon course completion. We have a dedicated team to help you throughout the course answering your queries and questions within 24 hrs. You will also get a mentor to help you with your own case-studies and help you prepare better for placements once you complete 50% of the assignments in the course.

      Please call us at +91 8106-920-029 or +91 6301-939-583 to know more.

  67. shaurabh
    December 4, 2018

    Hi Team,
    I have one question which may seem silly:-
    “Ok. Suppose I did EDA and came out with some observations and intuation about data
    (eg.,after univariate,bivariate,descriptive,etc. analysis like how data is distributed,related,segmented).
    Now, what we do with these observations( before fitting to sklearn model,eg. LogisticRegression().fit() )?
    I mean what is the purpose of these and where it is used for(before fitting into model)?
    Is its done to SELECT FEATURES(by identifying and dropping the non-useful features), ENGINEER FEATURES(derivation of new features),impute missing values and handle outliers——->””””””””””””””””””SO THAT WE CAN HAVE REFINED DATASET TO FEED INTO THE models””””””””””””””””””””””

    Is the quoted sentence is the sole purpose to get and collect intuation by EDA?

    Thanks

    • AppliedAICourseTeam 2
      December 4, 2018

      Yes, you are right. There are more reasons for it as well:
      1. Let’s take for example you’d want to apply gaussian naive Bayes. Now the assumption is that the features are supposed to be Gaussian distributed and this requires us to explore our data to determine the distribution of our features.
      2. You can also perform use correlation tests to explore which features are collinear(this creates a problem of interpretability of weight vectors in logistic/linear regression).

      There are many such reasons why EDA is necessary and on a case, to case basis, you recognize what kind of EDA you’d perform.

  68. Please tell this course covers all the aspects required for Cloudera certification (CCA, CCP) or not?

    • Applied AI Course
      December 1, 2018

      This is NOT a course on Cloudera certification for Cloudera Big data platform. We cover ML and AI in this course which are not part of CCP or CCA.

  69. Applied AI Course
    November 30, 2018

    Not exactly. Since you already have some experience in networking, we work with you on networking related ML case-studies inn the course once you finnish most of the contents. This will help you build on top of the domain expertise you have in networking. That will help you land a job in companies that are looking for folks in the inntersection of network-security and ML. But, 2 years is not a big deal. So, you can also look for ML roles outside of networking domain also. It is very common for people to transition across jobs in thier career and many recuiters do udnerstand that. While the recuiritng tream might consider you close to a fresher for ML roles, your networking exprience will also be countned and given some weightage.

  70. Swarup Gonthina
    November 30, 2018

    Hi,
    Where can I find free videos?

  71. November 28, 2018

    Hi Team,
    I was just going through your free videos.
    I was watching this video of EDA with Iris dataset, unfortunately I was not able to plot a 2D scatter plot with Petal Length and Petal Width instead I could plot it with Sepal Length and Sepal Width.
    Can you please guide me through this code so that I can identify the problem as I am looking forward to enroll for this course.

  72. shaurabh
    November 26, 2018

    Hi Team,
    What is word2vec(Embedding)?Are we covering this?Where it is used in NLP?
    Thanks

    • AppliedAI
      November 26, 2018

      Word embedding is one of the most popular representation of document vocabulary. Loosely speaking, they are vector representations of a particular word. Word2Vec is one of the most popular technique to learn word embeddings using shallow neural network. Yes, we discussed the concept of word2vec in detail and how exactly it works in NLP.

      • shaurabh
        November 26, 2018

        Thanks Team.
        Could you pls give the link for “Word Embedding” in the course content.
        And Thumbs up for your effort.Well Done.

        • AppliedAICourseTeam 2
          November 26, 2018

          It has been covered in the multi-layered perceptron section of the course. Check here

  73. November 23, 2018

    Hello Sir,
    I found your content interesting but unfortunately, I downloaded the iPython Notebooks, I am wondering why I can’t use Jupyter Notebook as a tool it always get open in the browser.
    I would like to know if I can really use it as a tool or I always have to use it in the browser, if so how will I save my notes and whenever I download this Ipython notes it does not open in the format of Jupyter Notebook, infact it gives me multiple option such as MS Word, Notepad,etc.Can I Use Spyder for the same? Or is it that the code of Spyder can’t run in Jupyter or vice-versa.
    Please help me with this as I am new to programming language and also looking forward to join this course.

    • AppliedAICourseTeam 2
      November 23, 2018

      The Jupyter Notebook App is a server-client application that allows editing and running notebook documents via a web browser. So you need to start the application with “jupyter notebook” on the terminal. If you’d like to use it with an editor, you have to convert it to .py file. Have a look at this and this. Your notebooks can be saved and edited like regular python scripts, just that you’ll be required to open it by launching it on your local system.

  74. Sharath Chandra
    November 20, 2018

    I’m B.E graduate in Mechanical Engineering with 57% with a decent knowledge in programming and I’m also familiar with Machine Learning in a intermediatory level, can i still learn this course and get placed?

    • Applied AI Course
      November 20, 2018

      Please call us at +91 8106-920-029 or +91 6301-939-583 so that one of us can better understand your background and suggest you if this course is correct for you or not.

    • Abhishek Mishra
      January 23, 2019

      can you give me the answer that you got from appliedaiteam for this question

  75. Softyabhi
    November 11, 2018

    hii there,
    Which engineering domain is eligible to take this course.As I am from EEE and have knowledge of programming language of c and c++ .Am I eligible to take this course.

  76. Divya Bevinal
    November 7, 2018

    Hello.
    I’m B.E graduate with 55% and not good in programs, can i still learn this course and get placed?

    • Applied AI Course
      November 8, 2018

      To be honest, you got to work very hard to land any job given your prior record and lack of programming knowledge. You got to skill up and be able to showcase your skills which got to be very good. Please call us at +91 8106-920-029 (or) +91 6301-939-583 to discuss whether this course is correct for you or not.

  77. Did I miss the Time series in index or it is not in the course yet?

    • AppliedAI Course
      November 7, 2018

      we have couple of case studies Taxi demand prediction and HAR you will learn the concepts and featurization of time series data in those case studies.

  78. HI,
    I have attended multiple online courses on ML, basically all were hard core theoretical, will this course benefit me ?
    and are you guys planning to Add some NLP stuff in this course ?

    • Applied AI Course
      November 5, 2018

      Hi Shubham, We strongly recommend you go through our sample/free videos which you can access by logging in to our course so that you will get a good idea of how we balance theory and practice of ML. We focus a lot on helping you build a portfolio of projects which help you showcase your skills to potential recruiters. We are very focused on helping our students transition to ML careers through our job-guarantee or money-back guarantee program.

      This course consists of many of the important concepts from NLP ranging from simpler concepts like Bag-of-words to state of the art RNNs for NLP. We have introduced these concepts as the course progresses. We also have many case-studies which focus on NLP applications like quora-question pair similarity, Stackoverflow tagging, Personalized cancer diagnosis etc.

      • oh ok.. regarding Job gaurantee,
        just wanted an assurance that it wont be like setting up an interview for a non reliable company or a company paying in peanuts ?

        • Applied AI Course
          November 6, 2018

          Please look at some of our success stories for a list of companies where our students have been placed. Our students have been placed in a wide spectrum of companies from Fortune 500 to smaller ones based on our student’s calibre, interests and skills. Our student’s salaries also have varied from Rs 5 Lakhs to Rs 30 Lakhs per annum based on their level of expertise and portfolio they build at the end of the course.

          1