Proceedings of Workshop: An In-Depth Review and Analysis
This book presents the latest research and developments in the field of machine learning, with a focus on the use of probabilistic graphical models and deep learning techniques. The book is divided into two parts, with the first part covering the theoretical foundations of machine learning and the second part presenting a variety of applications of machine learning in different domains.
4.6 out of 5
Language | : | English |
File size | : | 9812 KB |
Text-to-Speech | : | Enabled |
Screen Reader | : | Supported |
Enhanced typesetting | : | Enabled |
Word Wise | : | Enabled |
Print length | : | 116 pages |
The first part of the book provides a comprehensive overview of the theoretical foundations of machine learning, including topics such as supervised learning, unsupervised learning, reinforcement learning, and probabilistic graphical models. The second part of the book presents a variety of applications of machine learning in different domains, including natural language processing, computer vision, speech recognition, and robotics.
The book is written by a team of leading researchers in the field of machine learning, and it provides a comprehensive and up-to-date overview of the latest research and developments in the field. The book is essential reading for anyone interested in learning more about machine learning, and it is also a valuable resource for researchers and practitioners in the field.
Table of Contents
- Theoretical Foundations of Machine Learning
- Applications of Machine Learning
Reviews
"This book is a comprehensive and up-to-date overview of the latest research and developments in the field of machine learning. It is essential reading for anyone interested in learning more about machine learning, and it is also a valuable resource for researchers and practitioners in the field." - Professor Andrew Ng, Stanford University
"This book provides a clear and concise to the theoretical foundations of machine learning. It is a valuable resource for students and researchers alike." - Professor Daphne Koller, Stanford University
"This book is a must-read for anyone interested in the applications of machine learning. It provides a comprehensive overview of the latest research and developments in the field." - Professor Yoshua Bengio, University of Montreal
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4.6 out of 5
Language | : | English |
File size | : | 9812 KB |
Text-to-Speech | : | Enabled |
Screen Reader | : | Supported |
Enhanced typesetting | : | Enabled |
Word Wise | : | Enabled |
Print length | : | 116 pages |
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4.6 out of 5
Language | : | English |
File size | : | 9812 KB |
Text-to-Speech | : | Enabled |
Screen Reader | : | Supported |
Enhanced typesetting | : | Enabled |
Word Wise | : | Enabled |
Print length | : | 116 pages |