
BOOKS - PROGRAMMING - From Machine Learning To Deep Learning

From Machine Learning To Deep Learning
Author: Khaled Bayoudh
Year: 2017
Format: AZW3 | PDF CONV
File size: 12.5 MB
Language: ENG

Year: 2017
Format: AZW3 | PDF CONV
File size: 12.5 MB
Language: ENG

From Machine Learning to Deep Learning - A Comprehensive Guide to Understanding the Evolution of Technology and Its Impact on Humanity As we continue to advance in the digital age, it's essential to understand the evolution of technology and its impact on humanity. In his book, "From Machine Learning to Deep Learning [Author Name] provides a comprehensive guide to the development of modern knowledge and the need for a personal paradigm to perceive the technological process. The author explores the concept of Machine Learning and its progression to Deep Learning, highlighting the key algorithms, methods, and functions that power these advanced neural networks. The book begins by delving into the fundamentals of Machine Learning, explaining the basic concepts and techniques that have revolutionized the field of artificial intelligence. Readers will learn about the different types of Machine Learning, including supervised, unsupervised, and reinforcement learning, and how they are applied in various industries. The author then delves into the world of Deep Learning, discussing the intricacies of Convolutional Neural Networks (CNNs) and their ability to make decisions using multiple layers and functions. Throughout the book, the author emphasizes the importance of understanding the technological process and its potential impact on society.
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