Evaluating machine learning models, especially for classification tasks, goes beyond measuring just accuracy. In real-world scenarios—such as fraud detection, medical diagnosis, or spam filtering—datasets are often imbalanced, making accuracy an unreliable metric. This is where the AUC-ROC Curve becomes essential. It provides a comprehensive view of a model’s ability to distinguish between classes across various ...
Probability theory plays a foundational role in artificial intelligence (AI) by helping systems reason, make predictions, and handle uncertainty. In AI, especially in real-world scenarios, outcomes are rarely deterministic. Agents must often make decisions with incomplete or noisy information, requiring a framework to measure, update, and infer probabilities dynamically. One of the most important tools ...
Time series analysis is a powerful technique used to understand trends, patterns, and seasonal variations in data collected over time. It plays a critical role in fields such as finance, weather forecasting, healthcare, energy, and retail, where predicting future values accurately is key to decision-making. With the exponential growth in data availability, mastering time series ...
As organizations increasingly rely on data-driven strategies, the demand for skilled big data engineers in India has surged. From startups to global enterprises, companies are investing in professionals who can design, build, and maintain scalable data infrastructure. With the ever-expanding volume of structured and unstructured data, the role of a big data engineer has become ...
In today’s data-driven world, businesses rely heavily on insights to make strategic decisions—and that’s where data visualization tools come into play. Among them, Tableau has emerged as a leading platform for transforming raw data into meaningful, interactive visuals that drive smarter business outcomes. From startups to global enterprises, organizations use Tableau to explore trends, uncover ...
Generalization in machine learning refers to a model’s ability to perform well on new, unseen data after being trained on a specific dataset. It determines how effectively a model applies learned patterns to make accurate predictions beyond the training data. A well-generalized model captures meaningful relationships within the data, ensuring reliability across different scenarios. However, ...
A Data Engineer is responsible for building and maintaining the infrastructure that enables organizations to collect, store, and analyze large volumes of data efficiently. They design and optimize data pipelines, databases, and cloud storage solutions to support business intelligence and analytics. In today’s data-driven world, data engineers play a crucial role in big data management, ...
Inference in artificial intelligence (AI) refers to the logical process of deriving conclusions from a given set of premises or facts. It plays a crucial role in automated reasoning, knowledge representation, and decision-making systems, allowing AI to mimic human-like reasoning. Inference mechanisms are widely used in expert systems, natural language processing, and automated theorem proving, ...
Strong AI, also known as Artificial General Intelligence (AGI), refers to an advanced form of artificial intelligence that can think, reason, and learn at a human level or beyond. Unlike current AI models, which are designed for specific tasks, Strong AI aims to possess general intelligence, allowing it to adapt to unfamiliar situations, make independent ...
Optical Character Recognition (OCR) is a technology that converts printed or handwritten text into machine-readable digital formats. It enables computers to recognize characters from scanned documents, images, and PDFs, allowing for automated data extraction, editing, and searchability. The evolution of OCR dates back to the early 20th century, with initial developments focused on reading text ...
Team Applied AI
Abhimanyu Saxena
