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20265583
MATLAB Deep Learning: With Machine Learning, Neural Networks and Artificial Intelligence 1st ed. Edition
87% of respondents would recommend this to a friend
Item #:
20265583
ZAR 1085
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What Stands Out
Comprehensive Learning
This book offers a thorough understanding of deep learning concepts, integrating machine learning, neural networks, and AI to equip readers with essential skills and practical knowledge for real-world applications.
Hands-on Examples
Packed with practical examples and MATLAB code snippets, the book enables readers to apply theoretical knowledge, fostering a deeper understanding of complex concepts in deep learning and AI development.
Expert Insights
Authored by industry professionals, the book provides insider tips and insights, enhancing the learning experience and offering valuable perspectives on current trends and best practices in deep learning.
Product Details
| Publisher | Apress |
| Publication date | June 15, 2017 |
| Edition | 1st ed. |
| Language | English |
| Print length | 168 pages |
| ISBN-10 | 1484228448 |
| ISBN-13 | 978-1484228449 |
| Item Weight | 12.5 ounces (354.38 grams) |
| Dimensions | 6.1 x 0.39 x 9.25 inches (15.5 x 1 x 23.5 cm) |
Who Should Buy?
-
Aspiring Data Scientists
Ideal for beginners who want to learn deep learning concepts and apply them using MATLAB effectively.
-
Research Professionals
Perfect for researchers needing advanced tools for neural networks and AI in their computational studies.
-
Educators in Tech
Great resource for educators teaching deep learning, providing structured content and practical MATLAB examples.
-
Beginner Programmers
Not suitable for complete novices without prior programming experience, as it assumes familiarity with basic coding.
Product Description
MATLAB Deep Learning: With Machine Learning, Neural Networks and Artificial Intelligence 1st ed. Edition
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Intelligence & Semantics Editorial Review
The "MATLAB Deep Learning: With Machine Learning, Neural Networks and Artificial Intelligence" book has received mixed feedback from customers. Some users found it to be a useful and concise guide for those with basic ML knowledge, hailing it as an excellent resource and recommending it to anyone looking to delve into the subject. They appreciated the hands-on experience the MATLAB source codes provided. However, other reviewers were greatly disappointed, finding the book to be shallow and lacking in substance, with some criticizing its content as a "fraud" and noting that it didn't offer any real knowledge. One user even mentioned that the chapter on convolutional networks lacked a definition of convolution, contributing to their dissatisfaction with the book.
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Pros
- Concise guide for understanding the concepts of machine learning and deep learning
- Provides hands-on experience through MATLAB source codes
- Recommended for those with basic ML knowledge
Cons
- Some readers found the content to be shallow and lacking in substance
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