Machine Learning: 2 Books in 1: An Introduction Math Guide for Beginners to Understand Data Science Through the Business Applications Contributor(s): Hack, Samuel (Author) |
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ISBN: 1801146713 ISBN-13: 9781801146715 Publisher: Samuel Hack OUR PRICE: $34.19 Product Type: Hardcover - Other Formats Published: January 2021 * Not available - Not in print at this time * |
Additional Information |
BISAC Categories: - Computers | Virtual Worlds - Computers | Computer Simulation - Mathematics | Group Theory |
Physical Information: 0.56" H x 6" W x 9" (1.02 lbs) 220 pages |
Descriptions, Reviews, Etc. |
Publisher Description: Master the World of Machine Learning - Even if You're a Complete Beginner With This Incredible 2-in1 Bundle Are you an aspiring entrepreneur? Are you an amateur software developer looking for a break in the world of machine learning? Do you want to learn more about the incredible world of Machine Learning, and what it can do for you? Then keep reading. Machine learning is the way of the future - and breaking into this highly lucrative and ever-evolving field is a great way for your career, or business, to prosper. Inside this guide, you'll find simple, easy-to-follow explanations of the fundamental concepts behind machine learning, from the mathematical and statistical concepts to the programming behind them. With a wide range of comprehensive advice including machine learning models, neural networks, statistics, and much more, this guide is a highly effective tool for mastering this incredible technology. In book one, you'll learn:
In book two, you'll learn:
Covering everything you need to know about machine learning, now you can master the mathematics and statistics behind this field and develop your very own neural networks Whether you want to use machine learning to help your business, or you're a programmer looking to expand your skills, this bundle is a must-read for anyone interested in the world of machine learning. So don't wait - it's never been easier to learn.Buy now to become a master of Machine Learning Today |