Pearson Series: Top 10+ Best Artificial Intelligence Books from Pearson

Top 10+ Best Artificial Intelligence Books from Pearson

Artificial Intelligence (AI) - What is Artificial Intelligence (AI)? Why AI will be the future of the World? What are the types of AI? What are the Applications of Artificial Intelligence? How AI will be useful in your business? How Artificial Intelligence will be used to solve different problems? and so on.......... All these types of Questions are roaring in your mind. To solve this problem or to make it easy for you to overtake this problem, we are here with a list of Top 10+ Best Artificial Intelligence Books from Pearson. 

Let's explore the list of AI Books

1. Introduction to Artificial Intelligence 


Introduction to Artificial Intelligence book

Author: Patterson

Publisher: Pearson

No of Pages: 464

ISBN No: 9789332551947

About this Book:

This text deals comprehensively with important aspects of artificial intelligence and expert systems. It illustrates the knowledge-system approach and emphasizes the relevant use of such knowledge in specific systems. A considerable portion of the text is devoted to the subject of knowledge representation, including methods of dealing with uncertain, incomplete and vague knowledge (e.g. methods related to nonmonotonic logics and commonsense reasoning). The book is divided into five parts related to a detailed analysis of knowledge: Introduction to Artificial Intelligence, Knowledge Representation, Knowledge Organisation and Manipulation, Perception, Communication, and Expert Systems and Knowledge Acquisition.

For more details about this book, check out the below-given link

Book Link: Intro to AI

2. Artificial Intelligence (3rd Edition)


Artificial Intelligence book (3rd Edition)

Author: Patrick Henry Winston

Publisher: Pearson

No of Pages: 764

ISBN No: 9788131715055

About this Book:

This book explains how it is possible for computers to reason and perceive, thus introducing the field called artificial intelligence. This book would appeal to programmers, professionals, and students. This completely rewritten and updated edition reflects the revolutionary progress made since the previous edition was published.

For more details about this book, check out the below-given link

Book Link: Artificial Intelligence

3. Artificial Intelligence: Structures and Strategies for Complex Problem Solving: International Edition


Artificial Intelligence: Structures and Strategies for Complex Problem Solving: International Edition book

Author: George F Luger

Publisher: Pearson

No of Pages: 784

ISBN No: 9780132090018

About this Book:

In this book, George Luger captures the essence of artificial intelligence–solving the complex problems that arise wherever computer technology is applied. Ideal for an undergraduate course in AI, the Sixth Edition presents the fundamental concepts of the discipline first then goes into detail with the practical information necessary to implement the algorithms and strategies discussed. Readers learn how to use a number of different software tools and techniques to address the many challenges faced by today’s computer scientists.

For more details about this book, check out the below-given link

Book Link: AI: Structures and Strategies

4. Analytics, Data Science, & Artificial Intelligence: Systems for Decision Support (11th Edition)


Analytics, Data Science, & Artificial Intelligence: Systems for Decision Support (11th Edition) book

Authors: Dursun Delen, Ramesh Sharda and Efraim Turban

Publisher: Pearson

No of Pages: 752

ISBN No: 9780135192016

About this Book:

For courses in decision support systems, computerized decision-making tools, and management support systems. Market-leading guide to modern analytics, for better business decisions Analytics, Data Science, & Artificial Intelligence: Systems for Decision Support is the most comprehensive introduction to technologies collectively called analytics (or business analytics) and the fundamental methods, techniques, and software used to design and develop these systems. Students gain inspiration from examples of organizations that have employed analytics to make decisions while leveraging the resources of a companion website. With six new chapters, the 11th edition marks a major reorganization reflecting a new focus - analytics and its enabling technologies, including AI, machine learning, robotics, chatbots, and IoT.

For more details about this book, check out the below-given link

Book Link: Analytics, Data Science and AI

5. Pragmatic AI: An Introduction to Cloud-Based Machine Learning


Pragmatic AI: An Introduction to Cloud-Based Machine Learning book

Author: Noah Gift

Publisher: Pearson

No of Pages: 256

ISBN No: 9780134863863

About this Book:

Pragmatic AI will help you solve real-world problems with contemporary machine learning, artificial intelligence, and cloud computing tools. Noah Gift demystifies all the concepts and tools you need to get results even if you don't have a strong background in math or data science. Gift illuminates powerful off-the-shelf cloud offerings from Amazon, Google, and Microsoft, and demonstrates proven techniques using the Python data science ecosystem. His workflows and examples help you streamline and simplify every step, from deployment to production, and build exceptionally scalable solutions. As you learn how machine language (ML) solutions work, you'll gain a more intuitive understanding of what you can achieve with them and how to maximize their value. Building on these fundamentals, you'll walk step-by-step through building cloud-based AI/ML applications to address real issues in sports marketing, project management, product pricing, real estate, and beyond. 

Whether you're a business professional, decision-maker, student, or programmer, Gift's expert guidance and wide-ranging case studies will prepare you to solve data science problems in virtually any environment. Get and configure all the tools you'll need Quickly review all the Python you need to start building machine learning applications Master the AI and ML toolchain and project lifecycle Work with Python data science tools such as IPython, Pandas, Numpy, Juypter Notebook, and Sklearn Incorporate a pragmatic feedback loop that continually improves the efficiency of your workflows and systems Develop cloud AI solutions with Google Cloud Platform, including TPU, Collaboratory, and Datalab services Define Amazon Web Services cloud AI workflows, including spot instances, code pipelines, boto, and more Work with Microsoft Azure AI APIs Walk through building six real-world AI applications, from start to finish Register your book for convenient access to downloads, updates, and/or corrections as they become available. 

For more details about this book, check out the below-given link

Book Link: Pragmatic AI

6. Machine Learning


Machine Learning Book

Authors: Subramanian Chandramouli, Saikat Dutt, and Amit Kumar Dass

Publisher: Pearson

No of Pages: 456

ISBN No: 9789353066697

About this Book:

Machine Learning book introduces readers to the area of machine learning in an extremely easy to read and understand manner. Through numerous worked-out problems, diagrams and notes, the text makes this challenging subject easy to assimilate. The text starts with a simple introduction to the concepts of machine learning and expands it by delving into the details of different learning algorithms by using sample caselets. The authors, by virtue of their long exposure to industry implementations, have designed the topics so that readers will earn industry-readiness by just reading this text.

For more details about this book, check out the below-given link

Book Link: Machine Learning

7. AI Algorithms, Data Structures, and Idioms in Prolog, Lisp, and Java (6th Edition)


AI Algorithms, Data Structures, and Idioms in Prolog, Lisp, and Java (6th Edition) book

Authors: George F Luger and William A Stubblefield

Publisher: Pearson

No of Pages: 464

ISBN No: 9780136070474

About this Book:

This book illustrates how to program AI algorithms in Lisp, Prolog, and Java. The book basically covers each topic 3 times in each language. Topics include a simple production-like system based on logic, logic-based learning, and natural language parsing. In an inference engine based on first-order logic, management of substitutions can get rather complicated, which is often glossed over in AI textbooks. But this book covers this aspect, as do "Paradigms of AI Programming", "Structure and Interpretation of Computer Programs", and Winston's book on Common Lisp. This book has a lot of information, not just on AI, but on constructing Algorithms and Data Structures to develop your own AI software.

For more details about this book, check out the below-given link

Book Link: AI Algorithms, Data Structures, and Idioms

8. Introduction to Robotics: Analysis, Systems, Applications

Book on Introduction to Robotics: Analysis, Systems, Applications

Author: Saeed B Niku

Publisher: Pearson

No of Pages: 349

ISBN No:  9780130613097

About this Book:

This book covers an introduction to robotics analysis: the systems and sub-systems that constitute robots and robotic systems, and robotics applications. As such, it covers all the fundamentals, including kinematics, kinetics and force control, and trajectory planning of robots; it covers sub-systems such as actuators, sensors, and vision systems; and it covers robotics applications. Introduction to Robotics also includes topics related to mechatronics, microprocessor actuator control, integration of sensors, vision systems, and fuzzy logic.

For more details about this book, check out the below-given link

Book Link: Intro to Robotics

9. Natural Language Understanding

Book on Natural Language Understanding

Author: James Allen

Publisher: Pearson

No of Pages: 672

ISBN No: 9780805303346

About this Book:

This long-awaited revision offers a comprehensive introduction to natural language understanding with developments and research in the field today. Building on the effective framework of the first edition, the new edition gives the same balanced coverage of syntax, semantics, and discourse, and offers a uniform framework based on feature-based context-free grammars and chart parsers used for syntactic and semantic processing. The thorough treatment of issues in discourse and context-dependent interpretation is also provided. In addition, this title offers coverage of two entirely new subject areas. First, the text features a new chapter on statistically-based methods using large corpora. Second, it includes an appendix on speech recognition and spoken language understanding.

For more details about this book, check out the below-given link


10. Digital Image Processing

book on Digital Image Processing by kenneth r castleman

Author: Kenneth R Castleman

Publisher: Pearson

No of Pages: 688

ISBN No: 9780132114677

About this Book:

This book is ideal for those who do not possess an advanced background in electrical engineering, this broad introduction to the fundamental concepts of digital imaging shows how the various techniques can be applied to solve real-world problems (e.g., in biology, astronomy, forensics, etc.). It helps students develop the insight required to use the tools of digital imaging to solve new problems.

For more details about this book, check out the below-given link


11. Fundamentals of Neural Networks: Architectures, Algorithms, And Applications

Book on Fundamentals of Neural Networks: Architectures, Algorithms, And Applications

Author: Laurene V Fausett

Publisher: Pearson

No of Pages: 480

ISBN No: 9780133341867

About this Book:

An exceptionally clear, thorough introduction to neural networks written at an elementary level. Written with the beginning student in mind, the text features systematic discussions of all major neural networks and fortifies the reader's understanding with many examples.

For more details about this book, check out the below-given link


12. Deep Learning Illustrated: A Visual, Interactive Guide to Artificial Intelligence

Book on Deep Learning Illustrated: A Visual, Interactive Guide to Artificial Intelligence

Authors: Jon Krohn, Beyleveld Grant, and Bessen Algae

Publisher: Pearson

No of Pages: 320

ISBN No: 9780135116692

About this Book:

In Deep Learning Illustrated, three world-class instructors and practitioners present a uniquely visual, intuitive, and accessible high-level introduction to the techniques and applications of deep learning. Packed with vibrant, full-color illustrations, it abstracts away much of the complexity of building deep learning models, making the field more fun to learn and accessible to a far wider audience. Part I's high-level overview explains what Deep Learning is, why it has become so ubiquitous, and how it relates to concepts and terminology such as Artificial Intelligence, Machine Learning, Artificial Neural Networks, and Reinforcement Learning. These opening chapters are replete with vivid illustrations, easy-to-grasp analogies, and character-focused narratives. Building on this foundation, the authors then offer a practical reference and tutorial for applying a wide spectrum of proven deep learning techniques. Essential theory is covered with as little mathematics as possible and is illuminated with hands-on Python code. The theory is supported with practical "run-throughs" available in accompanying Jupyter notebooks, delivering a pragmatic understanding of all major deep learning approaches and their applications: machine vision, natural language processing, image generation, and video gaming.

For more details about this book, check out the below-given link


13. Neural Networks and Learning Machines

Book on Neural Networks and Learning Machines

Author: Haykin

Publisher: Pearson

No of Pages: 944

ISBN No: 9789332570313

About this Book:

Refocused, revised and renamed to reflect the duality of neural networks and learning machines, this edition recognizes that the subject matter is richer when these topics are studied together. Ideas drawn from neural networks and machine learning are hybridized to perform improved learning tasks beyond the capability of either independently. 

For more details about this book, check out the below-given link


NOTE: If you want to download these books or any other books in E-book format, you can download it from the below-given websites

1. b-ok.xyz (Recommended)




If you want to share any book name related to AI, ML and Data Science, you can share it in the below-given comment box. For more updates on Artificial Intelligence, Stay tuned with us on LunaticAI.

Image Source: Amazon

Post a Comment

0 Comments