Artificial Intelligence: Harnessing the Power of Machine Learning and Deep Learning - Paperback

Artificial Intelligence: Harnessing the Power of Machine Learning and Deep Learning - Paperback

$31.43
Sale price  $31.43 Regular price 
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Artificial Intelligence: Harnessing the Power of Machine Learning and Deep Learning - Paperback

Artificial Intelligence: Harnessing the Power of Machine Learning and Deep Learning - Paperback

$31.43
Sale price  $31.43 Regular price 

by Evan McCarty (Author)

In a world where technology is advancing at an astounding rate, artificial intelligence (AI), machine learning (ML), and deep learning (DL) are leading the way in bringing about previously unheard-of changes to almost every aspect of our lives. Artificial intelligence (AI) has become ingrained in modern life, from smart homes anticipating our needs to modern medical diagnostics, demonstrating its indispensable role as a partner in human progress rather than merely an aid.


With its title, "Artificial Intelligence: Harnessing the Power of Machine Learning and Deep Learning," the e-book seeks to serve as your introduction to this fascinating and ever-evolving world, where the limits of human capabilities are continually being pushed to the limit. Whether you are an experienced practitioner looking to expand your knowledge or a curious mind exploring this field for the first time, this thorough guide aims to provide insightful information.


We will go on an insightful journey together in the upcoming chapters as we examine the complex web of ideas, advancements, and technologies that make up the field of artificial intelligence. We will discuss the algorithms that enable machines to learn from and forecast data as we delve deeply into machine learning principles. As we continue, we will delve deeper and deeper into the fascinating field of deep learning, a subset of machine learning that is described by neural networks that can remarkably mimic the functioning of the human brain.

Number of Pages: 144
Dimensions: 0.31 x 9 x 6 IN
Publication Date: November 10, 2023

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