Buy Introduction to Artificial Intelligence and Machine Learning, with eBook Access Code
Book 1
Book 2
Book 3
Book 1
Book 2
Book 3
Book 1
Book 2
Book 3
Book 1
Book 2
Book 3
Home > Computing and Information Technology > Computer science > Artificial intelligence > Introduction to Artificial Intelligence and Machine Learning, with eBook Access Code
Introduction to Artificial Intelligence and Machine Learning, with eBook Access Code

Introduction to Artificial Intelligence and Machine Learning, with eBook Access Code


     0     
5
4
3
2
1



International Edition


X
About the Book

Helps students unlock the power of AI and Machine Learning to achieve business success and future-proof their careers Artificial intelligence and machine learning are transforming the modern workplace, making AI literacy a critical skill for business professionals. Introduction to Artificial Intelligence and Machine Learning equips students with essential AI/ML knowledge and practical skills, enabling them to leverage cutting-edge technology in today’s data-driven world. With an engaging and accessible approach, this textbook ensures that students—regardless of technical background—gain a working knowledge of AI/ML systems. Concise, easy-to-digest chapters blend foundational concepts with real-world applications to help students develop the expertise needed to implement AI/ML solutions across industries. For instructors, the textbook offers flexible teaching methodologies, whether focusing on conceptual discussions, light technology applications, or full AI/ML projects. With a clear business perspective and a strong emphasis on AI governance and deployment, the textbook prepares students to navigate the future of AI in the workplace with confidence. Helping students build a solid foundation in key concepts while exploring strategic implementation and ethical considerations, Introduction to Artificial Intelligence and Machine Learning is ideal for undergraduate and graduate students in business, engineering, and healthcare programs taking courses such as Business Analytics, Information Systems, and AI Strategy. WILEY ADVANTAGE Provides an introduction to artificial intelligence and machine learning designed to make complex concepts understandable Prepares students for AI-driven careers by aligning learning objectives with employer demand for AI/ML skills Explains AI/ML model development, deployment, and maintenance with clear step-by-step guidance Integrates real-world business applications and case studies to demonstrate AI/ML’s impact across industries Discusses governance in AI/ML to facilitate responsible implementation and decision-making Includes practical coding exercises and in-class projects to build essential AI/ML skills for the workforce Features a robust suite of instructor resources, including an extensive Instructor’s Manual, Test Bank, and PowerPoint slides AN INTERACTIVE, MULTIMEDIA LEARNING EXPERIENCE This textbook includes access to an interactive, multimedia e-text. Icons throughout the print book signal corresponding digital content in the e-text. Video Clips created by the author complement the text and engage students more deeply with AI/ML concepts and applications. Interactive Questions appear in each chapter of the enhanced e-text, providing students with immediate feedback to strengthen learning.

Table of Contents:
Preface vii 1 Artificial Intelligence and Machine Learning and You 1 4.2 Characteristics of Problems Suitable for AI/ML Solutions 93 4.3 The AI/ML Deployment Process 96 4.4 What’s in AI/ML for Me? 104 1.1 The Modern Business Environment 4 1.2 A Brief History of Artificial Intelligence and Machine Learning 6 1.3 Definitions 8 1.4 Why You Should Learn About AI and ml 11 1.5 Organizational Roles in AI/ML Projects 13 1.6 What’s in AI/ML for Me? 19 2 Fundamentals of Artificial Intelligence and Machine Learning 31 Introduction 33 2.1 Conventional Programming Versus AI/ML 33 2.2 The Basics of AI/ML Systems 38 2.3 Advantages of AI/ML Systems 40 2.4 Disadvantages of AI/ML Systems 42 2.5 What’s in AI/ML for Me? 48 3 Strategic Considerations for AI/ML Development 54 3.1 AI/ML Maturity Levels for Organizations 56 3.2 Align AI/ML Projects with Organizational Strategy 59 3.3 Major Strategic Models for AI/ML Implementation 62 3.4 Link Model Metrics to Organizational KPIs 68 3.5 Change Management in AI/ML Adoption 70 3.6 AI/ML Governance 73 3.7 What’s in AI/ML for Me? 77 4 The Business Problem 84 Introduction 85 4.1 Understand and Define the Business Problem 86 5 Data Management 108 Introduction 110 5.1 Fundamentals of Data 110 5.2 Data Sources 112 5.3 Feature Engineering 116 5.4 Data Cleaning and Preprocessing 120 5.5 Select Independent Variables and Dependent Variables and Split the Data 124 5.6 What’s in AI/ML for Me? 127 6 AI/ML Model Training 135 Introduction 135 6.1 Supervised Machine Learning Algorithms: Regression 136 6.2 Supervised Machine Learning Algorithms: Classification 139 6.3 Unsupervised Machine Learning Algorithms 159 6.4 Challenges in Model Training 161 6.5 Strategies for Model Improvement 165 6.6 What’s in AI/ML for Me? 167 7 Neural Networks and Monitoring and Maintaining AI/ML Models 177 7.1 Introduction to Neural Networks 177 7.2 AI/ML Model Monitoring 186 7.3 AI/ML Model Maintenance 191 7.4 What’s in AI/ML for Me? 194 8 Generative Machine Learning (Generative AI) 200 Introduction 201 8.1 Foundation Models 202 8.2 Introduction to Generative AI and Its Business Applications 207 8.3 Limitations of Generative AI Models 213 8.4 Prompt Engineering 219 8.5 What’s in AI/ML for Me? 223 Appendix 229 Index 307

About the Author :
R. Kelly Rainer is the George Phillips Privet Professor in the Department of Business Analytics and Information Systems at Auburn University. He has published in leading journals such as MIS Quarterly, Journal of Management Information Systems, and Decision Sciences. A recognized expert in information systems and business analytics, Rainer is a member of the Decision Sciences Institute and the Association for Information Systems.


Best Sellers


Product Details
  • ISBN-13: 9781394344710
  • Publisher: John Wiley & Sons Inc
  • Publisher Imprint: John Wiley & Sons Inc
  • Height: 252 mm
  • No of Pages: 336
  • Returnable: Y
  • Spine Width: 18 mm
  • Width: 203 mm
  • ISBN-10: 1394344716
  • Publisher Date: 26 Nov 2025
  • Binding: Paperback
  • Language: English
  • Returnable: Y
  • Returnable: Y
  • Weight: 590 gr


Similar Products

Add Photo
Add Photo

Customer Reviews

REVIEWS      0     
Click Here To Be The First to Review this Product
Introduction to Artificial Intelligence and Machine Learning, with eBook Access Code
John Wiley & Sons Inc -
Introduction to Artificial Intelligence and Machine Learning, with eBook Access Code
Writing guidlines
We want to publish your review, so please:
  • keep your review on the product. Review's that defame author's character will be rejected.
  • Keep your review focused on the product.
  • Avoid writing about customer service. contact us instead if you have issue requiring immediate attention.
  • Refrain from mentioning competitors or the specific price you paid for the product.
  • Do not include any personally identifiable information, such as full names.

Introduction to Artificial Intelligence and Machine Learning, with eBook Access Code

Required fields are marked with *

Review Title*
Review
    Add Photo Add up to 6 photos
    Would you recommend this product to a friend?
    Tag this Book Read more
    Does your review contain spoilers?
    What type of reader best describes you?
    I agree to the terms & conditions
    You may receive emails regarding this submission. Any emails will include the ability to opt-out of future communications.

    CUSTOMER RATINGS AND REVIEWS AND QUESTIONS AND ANSWERS TERMS OF USE

    These Terms of Use govern your conduct associated with the Customer Ratings and Reviews and/or Questions and Answers service offered by Bookswagon (the "CRR Service").


    By submitting any content to Bookswagon, you guarantee that:
    • You are the sole author and owner of the intellectual property rights in the content;
    • All "moral rights" that you may have in such content have been voluntarily waived by you;
    • All content that you post is accurate;
    • You are at least 13 years old;
    • Use of the content you supply does not violate these Terms of Use and will not cause injury to any person or entity.
    You further agree that you may not submit any content:
    • That is known by you to be false, inaccurate or misleading;
    • That infringes any third party's copyright, patent, trademark, trade secret or other proprietary rights or rights of publicity or privacy;
    • That violates any law, statute, ordinance or regulation (including, but not limited to, those governing, consumer protection, unfair competition, anti-discrimination or false advertising);
    • That is, or may reasonably be considered to be, defamatory, libelous, hateful, racially or religiously biased or offensive, unlawfully threatening or unlawfully harassing to any individual, partnership or corporation;
    • For which you were compensated or granted any consideration by any unapproved third party;
    • That includes any information that references other websites, addresses, email addresses, contact information or phone numbers;
    • That contains any computer viruses, worms or other potentially damaging computer programs or files.
    You agree to indemnify and hold Bookswagon (and its officers, directors, agents, subsidiaries, joint ventures, employees and third-party service providers, including but not limited to Bazaarvoice, Inc.), harmless from all claims, demands, and damages (actual and consequential) of every kind and nature, known and unknown including reasonable attorneys' fees, arising out of a breach of your representations and warranties set forth above, or your violation of any law or the rights of a third party.


    For any content that you submit, you grant Bookswagon a perpetual, irrevocable, royalty-free, transferable right and license to use, copy, modify, delete in its entirety, adapt, publish, translate, create derivative works from and/or sell, transfer, and/or distribute such content and/or incorporate such content into any form, medium or technology throughout the world without compensation to you. Additionally,  Bookswagon may transfer or share any personal information that you submit with its third-party service providers, including but not limited to Bazaarvoice, Inc. in accordance with  Privacy Policy


    All content that you submit may be used at Bookswagon's sole discretion. Bookswagon reserves the right to change, condense, withhold publication, remove or delete any content on Bookswagon's website that Bookswagon deems, in its sole discretion, to violate the content guidelines or any other provision of these Terms of Use.  Bookswagon does not guarantee that you will have any recourse through Bookswagon to edit or delete any content you have submitted. Ratings and written comments are generally posted within two to four business days. However, Bookswagon reserves the right to remove or to refuse to post any submission to the extent authorized by law. You acknowledge that you, not Bookswagon, are responsible for the contents of your submission. None of the content that you submit shall be subject to any obligation of confidence on the part of Bookswagon, its agents, subsidiaries, affiliates, partners or third party service providers (including but not limited to Bazaarvoice, Inc.)and their respective directors, officers and employees.

    Accept

    Fresh on the Shelf


    Inspired by your browsing history


    Your review has been submitted!

    You've already reviewed this product!