Solution Manual for Machine and Deep Learning Using MATLAB: Algorithms and Tools for Scientists and Engineers
Author: Kamal I. M. Al-Malah
Solution Manual for Machine and Deep Learning Using MATLAB by Al-Malah is sold on this page. You can contact us if you have any questions.
This product is official solution manual which covers chapters 1 to 10. There is one Word file for each of chapters which has 313 pages totally. Also, there are many other files and date for chapters 8, 9 and 10. Total size of this product is about 601 MB. Please check the following sample before your purchase.
Download Sample for Solution Manual
About the main textbook:
“Machine and Deep Learning Using MATLAB: Algorithms and Tools for Scientists and Engineers” by Kamal I. M. Al-Malah is a comprehensive guide that bridges the gap between theoretical concepts and practical applications of machine learning and deep learning using MATLAB. The book is designed for scientists and engineers, providing a clear introduction to various algorithms and tools that can be implemented in MATLAB for data analysis and predictive modeling.
It covers fundamental topics such as supervised and unsupervised learning, neural networks, and deep learning architectures. Each chapter includes practical examples, coding snippets, and exercises to reinforce learning. The author emphasizes hands-on experience, encouraging readers to apply algorithms to real-world problems. By integrating theory with practical application, the book serves as a valuable resource for those looking to enhance their skills in machine learning and deep learning within the MATLAB environment.
You can find more information about the textbook in this link.
This product does not contain the main textbook. It includes Solution Manual as described upper. You can contact us if you have any questions.
