Overview

The most comprehensive, up-to-date introduction to the theory and practice of artificial intelligence The long-anticipated revision of Artificial Intelligence: A Modern Approach explores the full breadth and depth of the field of artificial intelligence (AI). The 4th Edition brings readers up to date on the latest technologies, presents concepts in a more unified manner, and offers new or expanded coverage of machine learning, deep learning, transfer learning, multiagent systems, robotics, natural language processing, causality, probabilistic programming, privacy, fairness, and safe AI.

Tags: Artificial Intelligence;Machine Learning;Reasoning;Philosophy;To Read;Robotics;Knowledge;Probabilistic Models;Deep Learning;Natural Language Processing;Unsupervised Learning;Reinforcement Learning;Decision Trees;Computer Vision;Ethics;Supervised Learning;Probabilistic Programming;Convolutional Neural Networks;Recurrent Neural Networks;Bayesian Inference;Classification;Game Theory;Transfer Learning;Decision Making;Problem Solving;Heuristics;Linear Regression;Ensemble Learning;Model Selection