Machine Learning: An Essential Guide to Machine Learning for Beginners

2018 | ISBN-10: 1721856471 | 76 Pages | EPUB | 0,3 MB

If you're at the beginner stage and are looking to gain new knowledge about machine learning then keep reading...

WARNING: Do not read this book if you're looking for a boring textbook containing a lot of dry math and programming lingo.

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 this book:
What is machine learning?
What's the point of machine learning?
History of machine learning
Neural networks
Matching the human brain
Artificial Intelligence
AI in literature
Talking, walking robots
Self-driving cars
Personal voice-activated assistants
Data mining
Social networks
Big Data
Shadow profiles
Biometrics
Self-replicating machines
And much, much more!

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