Artificial Intelligence 3e: A Modern Approach Paperback - 2015
This edition captures the changes that have taken place in the field of artificial intelligence (AI) since the last edition in 2003. There have been important applications of AI technology, such as the widespread deployment of practical speech recognition, machine translation, autonomous vehicles, and household robotics. There have been algorithmic landmarks, such as the solution of the game of checkers. There has also been a great deal of theoretical progress, particularly in areas such as probabilistic reasoning, machine learning, and computer vision.
ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING 1st Edition, Kindle Edition
by VINOD CHANDRA S.S.
Primarily intended for the undergraduate and postgraduate students of computer science and engineering, this text bridges the gaps in knowledge of the seemingly difficult areas of artificial intelligence and machine learning.
This book promises to provide the most number of case studies and worked out examples from any other of its genre. The text is written in a highly interactive manner which makes for an avid reading. More into the text, the contents are well placed that it takes off from the introduction to AI, which is followed by heuristics searching and game playing. The machine learning section begins with the basics of learning, and the various association rule learning algorithms. Various types of learning like reinforced, supervised, unsupervised and statistical are also included with numerous case studies and application exercises. The well-explained algorithms and pseudo-codes for each topic make this book useful for students.
Artificial Intelligence is a comprehensive book for undergraduate students of Computer Science Engineering. The book comprises chapters on heuristic search techniques, using predicate logic, symbolic reasoning under uncertainty, weak slot-and-filler structures, natural language processing, connectionist models and fuzzy logic systems. In addition, the book consists of several examples and practice exercises to understand the complex concepts of artificial intelligence better. This book is essential for computer science engineers preparing for competitive exams like GATE and IES.
Artificial Intelligence For Dummies Paperback - 2018
by Oliver Theobald
Machine Learning for Absolute Beginners Second Edition has been written and designed for absolute beginners. This means plain-English explanations and no coding experience required. Where core algorithms are introduced, clear explanations and visual examples are added to make it easy and engaging to follow along at home.
This major new edition features many topics not covered in the First Edition, including Cross-Validation, Data Scrubbing and Ensemble Modeling. Please note that this book is not a sequel to the First Edition, but rather a restructured and revamped version of the First Edition. Readers of the First Edition should not feel compelled to purchase this Second Edition.