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Artificial Intelligence-beyond classical AI

By: Material type: TextTextPublication details: Uttar Pradesh Pearson 2023Description: 612pISBN:
  • 9789356069329
Subject(s): DDC classification:
  • 001.535 THA
Summary: 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
List(s) this item appears in: Technology
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Holdings
Item type Current library Call number Status Date due Barcode Item holds
Books Books Gandhi Smriti Library 001.535 THA (Browse shelf(Opens below)) Checked out to Dr. Mayank Badola (GAO00094) 2024-05-16 176571
Total holds: 0

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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