Machine Learning: 2 Books in 1: An Introduction Math Guide for Beginners to Understand Data Science Through the Business Applications

Samuel Hack

ISBN 10: 180172864X / ISBN 13: 9781801728645

Verlag: LIGHTNING SOURCE INC, 2021

Beschreibung

Zustand: Sehr gut | Seiten: 220 | Sprache: Englisch | Produktart: Bücher.

Bestandsnummer des Verkäufers 37426706/2

Bibliografische Details

• Titel: Machine Learning: 2 Books in 1: An Introduction Math Guide for Beginners to Understand Data Science Through the Business Applications
• Verlag: LIGHTNING SOURCE INC
• Veröffentlichungsdatum: 2021
• Sprache: Englisch
• ISBN-10: 180172864X
• ISBN-13: 9781801728645
• Bindung: Softcover
• Zustand: Sehr gut
• Verkäuferkataloge:
  • Bücher

Über diesen Titel

Inhaltsangabe

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:

• What is Artificial Intelligence Really, and Why is it So Powerful?
• Choosing the Right Kind of Machine Learning Model for You
• An Introduction to Statistics
• Reinforcement Learning and Ensemble Modeling
• "Random Forests" and Decision Trees

In book two, you'll learn:

• Learn the Fundamental Concepts of Machine Learning Algorithms
• Understand The Four Fundamental Types of Machine Learning Algorithm
• Master the Concept of "Statistical Learning
• Learn Everything You Need to Know about Neural Networks and Data Pipelines
• Master the Concept of "General Setting of Learning"
• A Free Bonus
• And Much More!

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!

Über die Autorin bzw. den Autor

Samuel was born in Buffalo. He graduated in Computer Science and Engineering. He has been writing programs since he was 16. After his studies started to work with a few informatics companies. With a master's degree from MIT, he has worked for some of the leading software companies in the United States and built up an extensive knowledge of software design and development. Now he realized that his real vocation is teaching. Now Samuel is a teacher and a writer and his books are bestsellers all over the world. Samuel enjoys sharing his programming knowledge through his book series, developing innovative software solutions for their clients, and watching classic sci-fi movies in his free time.