Introduction To Artificial Intelligence And Machine Learning With Ebook Access Code
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Introduction to Artificial Intelligence and Machine Learning, with eBook Access Code
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.
Introduction to Artificial Intelligence and Machine Learning, with eBook Access Code
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.
Work in the 21st Century, with EEPUB Access
Author: Jeffrey M. Conte
language: en
Publisher: John Wiley & Sons
Release Date: 2024-09-24
PROVIDES READERS WITH A WIDE-RANGING EXPLORATION OF THE RICH AND INTRIGUING NATURE OF THE MODERN WORKPLACE Now in its seventh edition, Work in the 21st Century: An Introduction to Industrial and Organizational Psychology is the most current and engaging textbook for courses on Industrial and Organizational (I-O) Psychology. This market-leading textbook ties together themes and topics such as diversity, cognitive and physical abilities, personality, emotional intelligence, technology, multicultural dynamics, and evidence-based I-O psychology with a clear, reader-friendly narrative style. This new edition retains the accessibility of the previous editions, incorporating the latest research findings into every chapter and providing up-to-date organizational applications of the principles of I-O psychology. The scientist-practitioner model continues to be the philosophical cornerstone of the text, further reinforcing the systems approach and stressing the interplay among different I-O psychology variables and constructs. 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 Content Two types of videos complement the text and engage readers more deeply with the fascinating field of I-O Psychology. Psychology @Work Videos explore interesting topics in industrial and organizational psychology. Informed by educational materials from the Society for Industrial and Organizational Psychology (SIOP), these videos feature vibrant footage and ask students thought-provoking questions. General psychology videos provide overviews of topics such as the Five-Factor Model of Personality and theories of motivation that might come to bear in the discussion of industrial and organizational psychology. Interactive Figures, Charts, and Tables Appearing throughout the enhanced e-text, interactive figures, diagrams, and tables facilitate study and help students retain important information. Even many of the simplest figures are interactive to encourage online readers to pause and absorb the information they present before scrolling on to additional reading. Interactive Self-Scoring Quizzes Each chapter includes a self-scoring Practice Quiz with feedback at both the question and quiz level to help students prepare for higher stakes assessments and exams.