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ARTIFICIAL INTELLIGENCE: BEYOND CLASSICAL AI, 1/E
Publisher:
PEARSON INDIA
| Author:
Reema Thareja
| Language:
English
| Format:
Paperback
Publisher:
PEARSON INDIA
Author:
Reema Thareja
Language:
English
Format:
Paperback
₹650 ₹585
Save: 10%
In stock
Ships within:
1-4 Days
In stock
ISBN:
SKU
9789356069329
Category Uncategorized
Category: Uncategorized
Page Extent:
632
Pearson’s Artificial Intelligence encompasses a comprehensive text on the fundamental principles and concepts of Artificial Intelligence—a new-age technology that fuels the much-coveted ‘Industry 4.0’. Presented in lucid English, this book covers all the basic concepts, enriched with latest examples. It also discusses all the major components of AI, such as Neural Networks, Natural Language Processing, Reinforcement Learning, Machine Learning, Deep Learning and Computer Vision. The book is a deliberation of classical as well modern AI techniques and related technologies that provides readers with an overall knowledge and understanding of AI in present-day context.
Features –
Focusses on practical implementation of key algorithms using Python programming language that help students gain hands-on experience
Supplements theoretical concepts with projects and interview questions
Discusses real-world case studies to illustrate pragmatic applications
Includes exhaustive coverage on Prolog programming language
Provides extensive chapter-end exercises for practice
Be the first to review “ARTIFICIAL INTELLIGENCE: BEYOND CLASSICAL AI, 1/E” Cancel reply
Description
Pearson’s Artificial Intelligence encompasses a comprehensive text on the fundamental principles and concepts of Artificial Intelligence—a new-age technology that fuels the much-coveted ‘Industry 4.0’. Presented in lucid English, this book covers all the basic concepts, enriched with latest examples. It also discusses all the major components of AI, such as Neural Networks, Natural Language Processing, Reinforcement Learning, Machine Learning, Deep Learning and Computer Vision. The book is a deliberation of classical as well modern AI techniques and related technologies that provides readers with an overall knowledge and understanding of AI in present-day context.
Features –
Focusses on practical implementation of key algorithms using Python programming language that help students gain hands-on experience
Supplements theoretical concepts with projects and interview questions
Discusses real-world case studies to illustrate pragmatic applications
Includes exhaustive coverage on Prolog programming language
Provides extensive chapter-end exercises for practice
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