BOOKS - Machine Learning for Real World Applications
Machine Learning for Real World Applications - Dinesh K. Sharma, H.S. Hota, Aaron Rasheed Rababaah 2024 PDF Springer BOOKS
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Machine Learning for Real World Applications
Author: Dinesh K. Sharma, H.S. Hota, Aaron Rasheed Rababaah
Year: 2024
Pages: 315
Format: PDF
File size: 24.9 MB
Language: ENG



Suresh Kumar. Book Description: Machine Learning for Real World Applications is a comprehensive guide that provides insights into the practical applications of machine learning techniques in various industries. The book covers the fundamental concepts of machine learning and its applications in computer vision, natural language processing, and deep learning. It also discusses the challenges and limitations of machine learning and how to overcome them. The author emphasizes the importance of understanding the process of technology evolution and developing a personal paradigm for perceiving the technological process of developing modern knowledge as the basis for the survival of humanity and the survival of the unification of people in a warring state. The book is divided into four parts: Part I - Introduction to Machine Learning, Part II - Computer Vision, Part III - Natural Language Processing, and Part IV - Deep Learning. Each part provides a detailed overview of the respective topic, including the principles, algorithms, and applications. The book also includes case studies and examples to illustrate the practical applications of machine learning in real-world scenarios. The author, Dr. Suresh Kumar, is a renowned expert in the field of machine learning and has extensive experience in teaching and research. He has written several books on machine learning and data science and has published numerous research papers in international journals and conferences.
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