Questions & Answers

Instructor: Applied AI Course Duration: 30 mins

Revision Questions:

 

  1. Explain about K-Nearest Neighbors?(https://www.appliedaicourse.com/course/applied-ai-course-online/lessons/k-nearest-neighbors-geometric-intuition-with-a-toy-example-1/)
  2. Failure cases of KNN?(https://www.appliedaicourse.com/course/applied-ai-course-online/lessons/failure-cases-of-knn/)
  3. Define Distance measures: Euclidean(L2) , Manhattan(L1), Minkowski,  Hamming?(https://www.appliedaicourse.com/course/applied-ai-course-online/lessons/distance-measures-euclideanl2-manhattanl1-minkowski-hamming/)
  4. What is Cosine Distance & Cosine Similarity?(https://www.appliedaicourse.com/course/applied-ai-course-online/lessons/cosine-distance-cosine-similarity/)
  5. How to measure the effectiveness of k-NN?(https://www.appliedaicourse.com/course/applied-ai-course-online/lessons/how-to-measure-the-effectiveness-of-k-nn/)
  6. Limitations of KNN?(https://www.appliedaicourse.com/course/applied-ai-course-online/lessons/knn-limitations-1/)
  7. How to handle Overfitting and Underfitting in KNN?(https://www.appliedaicourse.com/course/applied-ai-course-online/lessons/overfitting-and-underfitting/)
  8. Need for Cross validation?(https://www.appliedaicourse.com/course/applied-ai-course-online/lessons/need-for-cross-validation/)
  9. What is K-fold cross validation?(https://www.appliedaicourse.com/course/applied-ai-course-online/lessons/k-fold-cross-validation/)
  10. What is Time based splitting?(https://www.appliedaicourse.com/course/applied-ai-course-online/lessons/time-based-splitting/)
  11. Explain k-NN for regression?(https://www.appliedaicourse.com/course/applied-ai-course-online/lessons/k-nn-for-regression/)
  12. Weighted k-NN ?(https://www.appliedaicourse.com/course/applied-ai-course-online/lessons/weighted-k-nn/)
  13. How to build a kd-tree.?(https://www.appliedaicourse.com/course/applied-ai-course-online/lessons/how-to-build-a-kd-tree/)
  14. Find nearest neighbors using kd-tree?(https://www.appliedaicourse.com/course/applied-ai-course-online/lessons/find-nearest-neighbours-using-kd-tree/)
  15. What is Locality sensitive Hashing (LSH)?(
  16. Hashing vs LSH?(https://www.appliedaicourse.com/course/applied-ai-course-online/lessons/hashing-vs-lsh/)
  17. LSH for cosine similarity?(https://www.appliedaicourse.com/course/applied-ai-course-online/lessons/lsh-for-cosine-similarity/)
  18. LSH for euclidean distance?(https://www.appliedaicourse.com/course/applied-ai-course-online/lessons/lsh-for-euclidean-distance/)

Self Learning:

  1. In k-means or kNN, we use euclidean distance to calculate the distance between nearest neighbours. Why not manhattan distance ?(https://www.analyticsvidhya.com/blog/2017/09/30-questions-test-k-nearest-neighbors-algorithm/)
  2. How to test and know whether or not we have overfitting problem?(https://www.appliedaicourse.com/course/applied-ai-course-online/lessons/how-to-determine-overfitting-and-underfitting/)
  3. How is kNN different from k-means clustering?(https://stats.stackexchange.com/questions/56500/what-are-the-main-differences-between-k-means-and-k-nearest-neighbours)
  4. Can you explain the difference between a Test Set and a Validation Set?(https://stackoverflow.com/questions/2976452/whats-is-the-difference-between-train-validation-and-test-set-in-neural-netwo)
  5. How can you avoid overfitting in KNN?(https://www.appliedaicourse.com/course/applied-ai-course-online/lessons/how-to-determine-overfitting-and-underfitting/)

External Resources:

1.https://www.analyticsvidhya.com/blog/2017/09/30-questions-test-k-nearest-neighbors-algorithm/

**If you face any new Interview questions please put in comments ,we will work it out**

 

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