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Item specifics

Condition
Brand New: A new, unread, unused book in perfect condition with no missing or damaged pages. See the ...
PublishedOn
2019-10-14
Title
Machine Learning Mathematics: Study Deep Learning Through Data S
ISBN
9781699742150
Publication Year
2019
Type
Textbook
Format
Paperback
Language
English
Publication Name
Machine Learning Mathematics: Study Deep Learning Through Data Science. How to Build Artificial Intelligence Through Concepts of Statistics, Algorithms, Analysis and Data Mining
Item Height
229mm
Author
Samuel Hack
Publisher
Independently Published
Item Width
152mm
Subject
Mathematics
Item Weight
154g
Number of Pages
108 Pages

About this product

Product Information

Master the World of Machine Learning - Even if You're a Complete Beginner.Are you an aspiring entrepreneur? Are you an amateur software developer looking for a break in the world of machine learning? Then this is the book for you. 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. Inside, you will: Learn the Fundamental Concepts of Machine Learning Algorithms, and Their Impact in Resolving Modern Day Business Problems Understand The Four Fundamental Types of Machine Learning Algorithm Master the Concept of Statistical Learning , a Descriptive Statistics-Based Machine Learning Algorithm Dive into the Development and Application of Six of the Most Popular Supervised and Unsupervised Machine Learning Algorithms, With Details on Linear Regression, Logistic Regression And More Learn Everything You Need to Know about Neural Networks and Data Pipelines Master the Concept of General Setting of Learning , a Fundamental of Machine Learning Development Overview The Basics, Importance, and Applications of Data Science With Details on the Team Data Science Process Lifecycle 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 book is a must-read for anyone interested in the world of machine learning. Buy Now to Discover How You Can Master Machine Learning Today!

Product Identifiers

Publisher
Independently Published
ISBN-13
9781699742150
eBay Product ID (ePID)
20049057333

Product Key Features

Author
Samuel Hack
Publication Name
Machine Learning Mathematics: Study Deep Learning Through Data Science. How to Build Artificial Intelligence Through Concepts of Statistics, Algorithms, Analysis and Data Mining
Format
Paperback
Language
English
Subject
Mathematics
Publication Year
2019
Type
Textbook
Number of Pages
108 Pages

Dimensions

Item Height
229mm
Item Width
152mm
Volume
3
Item Weight
154g

Additional Product Features

Title_Author
Samuel Hack
Series Title
Machine Learning

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  • GB 724498118
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