Step-by-Step Guide to the Find-S Algorithm in ML The find s algorithm in machine learning is a basic concept learning algorithm that searches for the most specific hypothesis capable of classifying all positive training examples. By systematically generalizing its constraints based only on positive data points, it effectively determines a minimal generalization boundary for predictive … Read more
What is a Learning Agent in AI? Components & Uses
Agnish Rawat
What is a Learning Agent in AI? Components & Uses A learning agent in AI is an artificial intelligence entity capable of acquiring new knowledge, adapting to novel environments, and improving its performance over time through experience. Unlike static rule-based systems, learning agents autonomously update their internal models to resolve unknown scenarios efficiently. Introduction to … Read more
Agentic AI vs Generative AI: Which is Better for Enterprise Automation?
Agnish Rawat
Agentic AI vs Generative AI: Which is Better for Enterprise Automation? The primary difference between agentic AI and generative AI lies in autonomy and execution. Generative AI synthesizes content, code, or data based on direct user prompts, whereas agentic AI operates autonomously, reasoning through multi-step goals, interacting with external APIs, and executing complex workflows without … Read more
AUC ROC Curve in Machine Learning
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 … Read more
Search Algorithms in AI
Search algorithms form the backbone of problem-solving in artificial intelligence (AI). Whether it’s navigating a maze, planning a robot’s movement, or strategizing in a game, AI systems often need to explore various possibilities to reach a goal. This exploration is enabled by search algorithms. These algorithms simulate intelligent behavior by systematically examining sequences of decisions … Read more
Hadoop Distributed File System (HDFS) — A Complete Guide
The explosion of big data in recent years created a critical need for scalable, distributed storage systems capable of handling massive datasets efficiently. Hadoop Distributed File System (HDFS) emerged as a powerful solution, offering a fault-tolerant, scalable way to store and manage big data across clusters of inexpensive, commodity hardware. What is HDFS? HDFS stands … Read more