Publisher : Goyal Brothers Prakashan
Release : 2020-04-01
ISBN : 8183891381
File Size : 28,8 Mb
Language : En, Es, Fr and De
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Book Summary :
Goyal Brothers Prakashan
Download A Textbook Of Artificial Intelligence For Class 10 Full eBooks in PDF, EPUB, and kindle. A Textbook Of Artificial Intelligence For Class 10 is one my favorite book and give us some inspiration, very enjoy to read. you could read this book anywhere anytime directly from your device. This site is like a library, Use search box in the widget to get ebook that you want.
Book Summary :
Goyal Brothers Prakashan
Book Summary :
Artificial Intelligence presents a practical guide to AI, including agents, machine learning and problem-solving simple and complex domains.
Book Summary :
Distills key concepts from linear algebra, geometry, matrices, calculus, optimization, probability and statistics that are used in machine learning.
Book Summary :
A Textbook of Artificial Intelligence for Class 9
Book Summary :
Since its publication, Essentials of Artificial Intelligence has been adopted at numerous universities and colleges offering introductory AI courses at the graduate and undergraduate levels. Based on the author's course at Stanford University, the book is an integrated, cohesive introduction to the field. The author has a fresh, entertaining writing style that combines clear presentations with humor and AI anecdotes. At the same time, as an active AI researcher, he presents the material authoritatively and with insight that reflects a contemporary, first hand understanding of the field. Pedagogically designed, this book offers a range of exercises and examples.
Book Summary :
Download Artificial Intelligence CBSE Class 10 Book For 2023 Exam book written by Rajiv Sodhi and Poonam Sodhi and published by VK Global Publications Pvt Ltd with total hardcover pages . Available in PDF, EPUB, and Kindle, read book directly with any devices anywhere and anytime.
Book Summary :
This textbook covers the broader field of artificial intelligence. The chapters for this textbook span within three categories: Deductive reasoning methods: These methods start with pre-defined hypotheses and reason with them in order to arrive at logically sound conclusions. The underlying methods include search and logic-based methods. These methods are discussed in Chapters 1through 5. Inductive Learning Methods: These methods start with examples and use statistical methods in order to arrive at hypotheses. Examples include regression modeling, support vector machines, neural networks, reinforcement learning, unsupervised learning, and probabilistic graphical models. These methods are discussed in Chapters~6 through 11. Integrating Reasoning and Learning: Chapters~11 and 12 discuss techniques for integrating reasoning and learning. Examples include the use of knowledge graphs and neuro-symbolic artificial intelligence. The primary audience for this textbook are professors and advanced-level students in computer science. It is also possible to use this textbook for the mathematics requirements for an undergraduate data science course. Professionals working in this related field many also find this textbook useful as a reference.
Book Summary :
Artificial Intelligence: A Modern Approach offers the most comprehensive, up-to-date introduction to the theory and practice of artificial intelligence. Number one in its field, this textbook is ideal for one or two-semester, undergraduate or graduate-level courses in Artificial Intelligence.