Paneerselvam M. An Introduction to AI and Machine Learning...Examples 2023 torrent

Textbook in PDF format

How does our brain work in our routine life? The same way we design artificial intelligence in machines. Instead of complex straightforward theory, this book explains all logic and algorithms with the help of day-to-day examples. The language is straightforward. Besides, the examples are straightforward. We adequately cover all functions of the intelligent agent and machine learning models. This book is a sweet friend for newcomers to the AI field (this includes academic students and working professionals.). This book additionally includes statistical models. The overall intention of this book is to spread the knowledge to all kinds of readers preparing themselves to secure a visa for the upcoming AI-driven earth.
Preface
Introduction to Artificial Intelligence and Machine Learning
Part 1. Artificial Intelligence
Artificial Intelligence: Introduction
Artificial Intelligence: Search and Problem Solving
Artificial Intelligence: Local Search
Artificial Intelligence: Adversarial Search – Games
Artificial Intelligence: Logic and logical agents
Artificial Intelligence: Uncertainty
Artificial Intelligence: Top View – Agent and Environments
Artificial Intelligence: Ethics
Cyber Security with AI and ML Systems
Part 2. Statistical Methods
Statistical Methods: Statistics and Probability Basics
Statistical Methods: Independent probability
Statistical Methods: Discrete Random Variables
Statistical Methods: Sampling
Statistical Methods: Hypothesis Testing
Machine Learning: Introduction
Machine Learning: Data Workflow and Data Mining
Machine Learning: Linear Regression Models
Machine Learning: Classification (Linear and Logistic classification)
Machine Learning: Decision Tree
Machine Learning: Instance-based Learning Algorithms
Machine Learning: Support Vector Machine
Machine Learning: Bayesian Learning
Machine Learning: Ensemble Learning
Machine Learning: Unsupervised Learning