Understanding BLEU Scores
BLEU scores are a way to check how good a machine translation is by comparing it to a translation done by a person. It looks … Read more
BLEU scores are a way to check how good a machine translation is by comparing it to a translation done by a person. It looks … Read more
Ace your next exam with these concise machine learning notes covering fundamentals, real-world applications, and more. Perfect for quick revisions!
Unit I: Introduction Unit II: Deep Feedforward Neural Networks Unit III: Convolutional Neural Networks (CNNs) Unit IV: Recurrent Neural Networks (RNNs) Unit V: Deep Generative … Read more
Unit 1. Introduction to Machine Learning 1.1 What is Machine Learning? Machine learning involves building mathematical models from sample data to make predictions or gain … Read more
Unit 1: Fundamentals of Artificial Intelligence 1.1 Definition, history, motivation, and need for Artificial Intelligence (AI) 1.2 Goals and contributions of AI to modern technology … Read more
Introduction Bayes’ Theorem is a cornerstone of probabilistic reasoning, serving as a fundamental rule for inference. It describes the probability of an event, based on … Read more
Introduction Uncertainty in AI Probability Basics Probabilistic Inference Applications of Probabilistic Reasoning Conclusion References: Note: This content was generated with the assistance of Google’s Gemini … Read more
Introduction Monotonic Reasoning Non-monotonic Reasoning Types of Non-monotonic Reasoning Applications of Non-monotonic Reasoning Conclusion References: Note: This content was generated with the assistance of Google’s … Read more
Introduction Types of Inference Theorem Proving Applications of Deduction, Theorem Proving, and Inferencing Conclusion References: Note: This content was generated with the assistance of Google’s … Read more
Introduction The Resolution Rule Refutation with Resolution Example Efficiency Considerations Conclusion References: Note: This content was generated with the assistance of Google’s Gemini AI.