A First Course In Artificial Intelligence | By Deepak Khemani | 1st Edition | McGraw Hill Publication ( English Medium )

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A First Course In Artificial Intelligence | By Deepak Khemani | 1st Edition | McGraw Hill Publication ( English Medium ).

Book Description:

A First Course in Artificial Intelligence by Deepak Khemani is a foundational textbook intended for undergraduate and early postgraduate students, particularly those pursuing computer science, data science, AI, or related engineering streams. It introduces the core concepts and techniques of Artificial Intelligence in a systematic, conceptual, and accessible manner, suitable for Indian and global academic syllabi.

The book provides a balance between theoretical understanding and practical insight, with an emphasis on fundamental ideas like knowledge representation, reasoning, problem-solving, and learning. It avoids heavy mathematics while still offering a clear introduction to formal logic and algorithmic approaches in AI.

This book is widely adopted in Indian universities and competitive exam preparations like GATE, UGC NET, and university curricula.

Key Features:

Structured and introductory approach to AI, ideal for beginners.

Focus on problem-solving methods, search algorithms, and knowledge representation.

Includes topics like Prolog, semantic nets, and rule-based systems.

Chapters on logic, planning, machine learning, and natural language processing.

Emphasis on conceptual clarity over mathematical complexity.

Numerous illustrations, examples, and diagrams to support understanding.

Indian classroom-friendly language and approach.

Case studies and exercises at the end of each chapter.

Covers historical and philosophical background of AI.

Suitable for B.Tech/B.E. Computer Science and related branches.

Explains AI applications in real-world domains.

Detailed discussion on inference engines, search trees, and reasoning methods.

Basic introduction to machine learning algorithms.

Written by a reputed professor from IIT Madras, ensuring academic rigor.

Also useful for self-learners and beginners in AI.

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Product Details

SKU / BOOK Code:	McGraw-Artifi-Intelli-(E)
Publisher:	McGraw Hill Publication
Author:	Deepak Khemani
Binding Type:	Paperback
No. of Pages:	944
ISBN-10:	9781259029981
ISBN-13:	978-1259029981
Edition:	1st Edition
Language:	English Medium
Publish Year:	2025-06
Weight (g):	2800
Product Condition:	New
Reading Age:	Above 10 Years
Country of Origin:	India
Genre:	Textbooks & Study Guides
Manufacturer:	McGraw Hill Publication
Importer:	McGraw Hill Publication
Packer:	Fullfilled by Supplier

Product Description

A First Course In Artificial Intelligence | By Deepak Khemani | 1st Edition | McGraw Hill Publication ( English Medium ).

Book Description:

A First Course in Artificial Intelligence by Deepak Khemani is a foundational textbook intended for undergraduate and early postgraduate students, particularly those pursuing computer science, data science, AI, or related engineering streams. It introduces the core concepts and techniques of Artificial Intelligence in a systematic, conceptual, and accessible manner, suitable for Indian and global academic syllabi.

The book provides a balance between theoretical understanding and practical insight, with an emphasis on fundamental ideas like knowledge representation, reasoning, problem-solving, and learning. It avoids heavy mathematics while still offering a clear introduction to formal logic and algorithmic approaches in AI.

This book is widely adopted in Indian universities and competitive exam preparations like GATE, UGC NET, and university curricula.

Key Features:

Structured and introductory approach to AI, ideal for beginners.

Focus on problem-solving methods, search algorithms, and knowledge representation.

Includes topics like Prolog, semantic nets, and rule-based systems.

Chapters on logic, planning, machine learning, and natural language processing.

Emphasis on conceptual clarity over mathematical complexity.

Numerous illustrations, examples, and diagrams to support understanding.

Indian classroom-friendly language and approach.

Case studies and exercises at the end of each chapter.

Covers historical and philosophical background of AI.

Suitable for B.Tech/B.E. Computer Science and related branches.

Explains AI applications in real-world domains.

Detailed discussion on inference engines, search trees, and reasoning methods.

Basic introduction to machine learning algorithms.

Written by a reputed professor from IIT Madras, ensuring academic rigor.

Also useful for self-learners and beginners in AI.

Search Key - A First Course in Artificial Intelligence Deepak Khemani, , Deepak Khemani AI book, , AI fundamentals by Indian author, , Introduction to artificial intelligence book India, , Beginner AI textbook, , Artificial intelligence B.Tech syllabus book, , AI book for engineering students, , AI search algorithms Deepak Khemani, , Knowledge representation AI textbook, , Rule-based systems AI Deepak Khemani, , AI problem solving techniques, , Prolog and logic programming book, , Semantic networks in AI, , AI book Indian universities, , McGraw Hill artificial intelligence India, , GATE AI preparation book, , AI for CS engineering students, , Best book for learning AI basics, , Artificial intelligence course book India, , Logic and reasoning AI textbook, , Natural language processing AI Khemani, , Decision making in artificial intelligence, , Inference engines in AI, , Planning in artificial intelligence, , Machine learning introduction Deepak Khemani, , AI curriculum reference book, , Cognitive systems AI, , Indian AI author textbook, , AI concepts without heavy math, , Self-learning AI book India, Language ‏ : ‎ English, Paperback ‏ : ‎ 944 pages, ISBN-10 ‏ : ‎ 9781259029981, ISBN-13 ‏ : ‎ 978-1259029981.

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