Machine Learning for Industrial Applications
eBook - PDF

Machine Learning for Industrial Applications

  1. English
  2. PDF
  3. Available on iOS & Android
eBook - PDF

Machine Learning for Industrial Applications

About this book

The main goal of the book is to provide a comprehensive and accessible guide that empowers readers to understand, apply, and leverage machine learning algorithms and techniques effectively in real-world scenarios.

Welcome to the exciting world of machine learning! In recent years, machine learning has rapidly transformed from a niche field within computer science to a fundamental technology shaping various aspects of our lives. Whether you realize it or not, machine learning algorithms are at work behind the scenes, powering recommendation systems, autonomous vehicles, virtual assistants, medical diagnostics, and much more. This book is designed to serve as your comprehensive guide to understanding the principles, algorithms, and applications of machine learning. Whether a student diving into this field for the first time, a seasoned professional looking to broaden your skillset, or an enthusiast eager to explore cutting-edge advancements, this book has something for you.

The primary goal of Machine Learning for Industrial Applications is to demystify machine learning and make it accessible to a wide audience. It provides a solid foundation in the fundamental concepts of machine learning, covering both the theoretical underpinnings and practical applications. Whether you're interested in supervised learning, unsupervised learning, reinforcement learning, or innovative techniques like deep learning, you'll find comprehensive coverage here. Throughout the book, a hands-on approach is emphasized. As the best way to learn machine learning is by doing, the book includes numerous examples, exercises, and real-world case studies to reinforce your understanding and practical skills.

Audience

The book will enjoy a wide readership as it will appeal to all researchers, students, and technology enthusiasts wanting a hands-on guide to the new advances in machine learning.

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Yes, you can access Machine Learning for Industrial Applications by Kolla Bhanu Prakash in PDF and/or ePUB format, as well as other popular books in Computer Science & Artificial Intelligence (AI) & Semantics. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Cover
  2. Series Page
  3. Title Page
  4. Copyright Page
  5. Dedication Page
  6. Contents
  7. Preface
  8. Chapter 1 Overview of Machine Learning
  9. Chapter 2 Machine Learning Building Blocks
  10. Chapter 3 Multilayer Perceptron (in Neural Networks)
  11. Chapter 4 Kernel Machines
  12. Chapter 5 Linear and Rule-Based Models
  13. Chapter 6 Distance-Based Models
  14. Chapter 7 Model Ensembles
  15. Chapter 8 Binary and Beyond Binary Classification
  16. Chapter 9 Model Selection
  17. Chapter 10 Support Vector Machines
  18. Chapter 11 Clustering
  19. Chapter 12 Reinforcement Learning
  20. Chapter 13 Recommender Systems
  21. Chapter 14 Advancements in Deep Learning
  22. Chapter 15 Advanced Deep Learning Using Julia Programming
  23. Chapter 16 Machine Learning for Industrial Applications
  24. Index
  25. EULA