Artificial Intelligence and Machine Learning for Real-World Applications
eBook - ePub

Artificial Intelligence and Machine Learning for Real-World Applications

A Beginner's Guide with Case Studies

  1. English
  2. ePUB (mobile friendly)
  3. Available on iOS & Android
eBook - ePub

Artificial Intelligence and Machine Learning for Real-World Applications

A Beginner's Guide with Case Studies

About this book

This book introduces foundational and advanced concepts in artificial intelligence (AI) and machine learning (ML), focusing on their real-world applications and societal implications. Covering topics from knowledge representation and model interpretability to deep learning and generative AI, Artificial Intelligence and Machine Learning for Real-World Applications: A Beginner's Guide with Case Studies includes practical Python implementations and case studies from healthcare, agriculture, and education. Beginning with core concepts such as AI fundamentals, knowledge representation, and statistical techniques, the text gradually advances to cover ML algorithms, deep learning architectures, and the basics of generative AI. Detailed discussions of data preprocessing, model training, evaluation metrics, and Python-based implementation make this book both practical and accessible.

  • Offers real-world examples and case studies illustrating the societal impact and practical applications of AI and ML technologies
  • Discusses data preprocessing techniques, model selection, and evaluation metrics with practical implementation in Python and in detail
  • Explores AI problem-solving processes, knowledge representation, and model training strategies, catering to readers with varying levels of technical expertise
  • Covers AI and ML principles spanning statistical techniques, ML algorithms, deep learning structures, and generative AI basics
  • Focuses on societal applications in healthcare, agriculture, and education, addressing challenges faced by the elderly and special needs individuals

This book is for professionals, researchers, and scholars interested in the application of AI and ML.

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Yes, you can access Artificial Intelligence and Machine Learning for Real-World Applications by Latesh Malik,Sandhya Arora,Urmila Shrawankar in PDF and/or ePUB format, as well as other popular books in Informatica & Intelligenza artificiale (IA) e semantica. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Cover
  2. Half Title
  3. Title
  4. Copyright
  5. Contents
  6. Preface
  7. Acknowledgments
  8. About the Authors
  9. Chapter 1 Introduction to Artificial Intelligence and Machine Learning
  10. Chapter 2 Problem-Solving Methods and Search Strategies
  11. Chapter 3 Knowledge Representation
  12. Chapter 4 Data and Preprocessing: The Heart of Machine Learning
  13. Chapter 5 Supervised Machine Learning
  14. Chapter 6 Unsupervised Machine Learning
  15. Chapter 7 Neural Networks and Deep Learning
  16. Chapter 8 Generative Artificial Intelligence
  17. Chapter 9 AI in Healthcare: Diagnostics, Treatment, and Beyond
  18. Chapter 10 Agriculture Developments Using ML and AI
  19. Chapter 11 AI Transforming Education: Personalized Learning and Intelligent Tutoring Systems
  20. Chapter 12 Technological Uses of AI and ML for Helping Elderly and Special Needs People
  21. Index