“Machine Learning Applications: From Computer Vision to Robotics” by Indranath Chatterjee and Sheetal Zalte is a comprehensive guide designed for those looking to explore the diverse applications of machine learning across various fields. Published by Wiley-IEEE Press in December 2023, this book covers topics ranging from computer vision to robotics, offering practical insights and methodologies that will help readers deepen their understanding of these rapidly evolving technologies.
Book Details:
- Authors: Indranath Chatterjee, Sheetal Zalte
- Publisher: Wiley-IEEE Press
- Language: English
- Publication Date: December 27, 2023
- Pages: 240
- ISBN-13: 978-1394173327
- ISBN-10: 1394173326
What You’ll Learn:
The book provides a well-rounded introduction to machine learning with a focus on real-world applications. Key topics include:
- Computer Vision: Techniques for processing and analyzing visual data using machine learning.
- Robotics: How machine learning can be applied to develop and optimize robotic systems.
- Natural Language Processing (NLP): Practical methods for improving human-computer interactions.
- Deep Learning and Neural Networks: Modern tools and techniques essential for solving complex problems.
By emphasizing practical applications, the authors offer numerous case studies and examples to help readers apply machine learning concepts in real projects. This hands-on approach makes the book especially valuable for those looking to implement machine learning in areas like research, development, and engineering.
Who Should Read This Book?
- Students and graduate students: Enhance your knowledge of machine learning and apply it to scientific research.
- Professional developers: Get practical tools and methodologies for implementing machine learning in real-world projects.
- Researchers: Discover new possibilities for innovation and research through machine learning.
- Robotics engineers: Learn how to use machine learning to build and improve robotic systems.
What Makes This Book Unique?
“Machine Learning Applications: From Computer Vision to Robotics” stands out for its balance of theory and practice. Unlike many other machine learning books, it focuses on practical use cases, presenting real-world examples from fields like computer vision, NLP, and robotics. The inclusion of the latest research and trends ensures that the book stays relevant for professionals working at the cutting edge of machine learning technology.
About the Authors:
- Indranath Chatterjee is a Professor in the Department of Computer Engineering at Tongmyong University, South Korea. He holds a PhD from the University of Delhi, India, and has authored numerous books and research papers. His research focuses on AI, computer vision, computational neuroscience, and medical imaging.
- Sheetal Zalte is an Assistant Professor at Shivaji University, India. She earned her PhD from Shivaji University and has published extensively in areas like mobile ad hoc networks.
For readers interested in staying updated on the latest machine learning and AI books, visit ThinkJava.net, where we regularly review and recommend essential reads in the tech world.
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