S. K. Goyal, published by Pearson Education India. The book "Machine Learning for Engineers" by Dr. S. K. Goyal provides a comprehensive introduction to machine learning techniques and their applications in various fields such as computer vision, natural language processing, and bioinformatics. The book covers the fundamental concepts of machine learning, including supervised and unsupervised learning, linear and nonlinear regression, neural networks, and support vector machines. It also discusses advanced topics such as deep learning, transfer learning, and reinforcement learning. The author emphasizes the importance of understanding the underlying principles of machine learning algorithms and their limitations to avoid misusing these powerful tools. The book is divided into 16 chapters, each focusing on a specific aspect of machine learning. Chapter 1 introduces the concept of machine learning and its importance in modern technology. Chapters 2-4 cover the basics of machine learning, including supervised and unsupervised learning, linear and nonlinear regression, and neural networks. Chapters 5-8 delve into more advanced topics such as support vector machines, decision trees, and clustering. Chapters 9-12 explore specialized applications of machine learning in computer vision, natural language processing, and bioinformatics. Finally, Chapters 13-16 discuss emerging trends in machine learning, including deep learning, transfer learning, and reinforcement learning. Throughout the book, the author uses practical examples and exercises to illustrate the concepts and encourage readers to apply their knowledge to real-world problems.

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