Machine Learning: The Ultimate Guide to Machine Learning, Neural Networks and Deep Learning for Beginners Who Want to Understand Applications, Artificial Intelligence, Data Mining, Big Data and More

by Herbert Jones

3 comprehensive manuscripts in 1 book Every day, someone is putting down a book on machine learning and giving up on learning about this revolutionary topic. How many of them miss out on furthering their career, and perhaps even the progress of our species...without even realizing? You see, most beginners make the same mistake when first delving into the topic of machine learning. They start off with a resource containing too many unrelatable facts, math, and programming lingo that will put them to sleep rather than ignite their passion. But that is about to change... This new book on machine learning will explain the concepts, methods and history behind machine learning, including how our computers became vastly more powerful but infinitely stupider than ever before and why every tech company and their grandmother want to keep track of us 24/7, siphoning data points from our electronic devices to be crunched by their programs that then become virtual crystal balls, predicting our thoughts before we even have them. Most of the book reads like science fiction because in a sense it is, far beyond what an average person would be willing to believe is happening. Here are some of the topics that are discussed in part 1 of this Here are some of the topics that are discussed in part 2 of this Here are some of the topics that are discussed in part 3 of this So if you want to learn about machine learning, click "buy now"!

182 pages, Hardcover

Published January 10, 2020

Reviews

[Colin Hoad · Rating 3 out of 5]

High promise, but fairly low delivery. I found this collection of three short books to be fairly average. They provide a cursory, high-level introduction to the topic and give some interesting examples of how machine learning and neural networks are used today, but don't expect anything more than that. Calling it "the ultimate guide" is rather grandiose, and I was left feeling like I hadn't really learnt much at all about how any of this works in practice.

Read it if you know nothing at all about the subject and want to get an understanding of what some of the terms mean and how they are used, but if you feel you already have a fairly good handle on what machine learning is at a high level, this is probably one to skip.