Jump to ratings and reviews
Rate this book

Machine Learning: 4 Books in 1: A Complete Overview for Beginners to Master the Basics of Python Programming and Understand How to Build Artificial Intelligence Through Data Science

Rate this book
Master the world of Python and Machine Learning with this incredible 4-in-1 bundle.Are you interested in becoming a Python pro? Do you want to learn more about the incredible world of machine learning, and what it can do for you? Then keep reading.Created with the beginner in mind, this powerful bundle delves into the fundamentals behind Python and Machine Learning, from basic code and mathematical formulas to complex neural networks and ensemble modeling. Inside, you’ll discover everything you need to know to get started with Python and Machine Learning, and begin your journey to success!

In book one - MACHINE LEARNING FOR BEGINNERS, you’ll  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 - MACHINE LEARNING MATHEMATICS, you  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”

In book three - LEARNING PYTHON, you’ll to Install, Run, and Understand Python on Any Operating System

A Comprehensive Introduction to Python

Python Basics and Writing Code

Writing Loops, Conditional Statements, Exceptions and More

Python Expressions and The Beauty of Inheritances

And in book four - PYTHON MACHINE LEARNING, you the Fundamentals of Machine Learning

Master the Nuances of 12 of the Most Popular and Widely-Used Machine Learning Algorithms

Become Familiar with Data Science Technology

Dive Into the Functioning of Scikit-Learn Library and Develop Machine Learning Models

Uncover the Secrets of the Most Critical Aspect of Developing a Machine Learning Model – Data Pre-Processing and Training/Testing Subsets

Whether you’re a complete beginner or a programmer looking to improve your skillset, this bundle is your all-in-one solution to mastering the world of Python and Machine Learning.

638 pages, Kindle Edition

Published November 20, 2019

54 people are currently reading
223 people want to read

About the author

Samuel Hack

11 books2 followers

Ratings & Reviews

What do you think?
Rate this book

Friends & Following

Create a free account to discover what your friends think of this book!

Community Reviews

5 stars
17 (85%)
4 stars
2 (10%)
3 stars
1 (5%)
2 stars
0 (0%)
1 star
0 (0%)
Displaying 1 - 2 of 2 reviews
Profile Image for Jaume Sués Caula.
242 reviews2 followers
January 10, 2020
Mandatory book for those business professionals which want a solid technical base of this hype. Being a math lover is a must, if you want to squeeze all the content for business purposes.
1 review
April 20, 2020
This is a great beginner’s book, it helps you familiarize yourself with machine learning concepts and is definitely the best product to get started
Displaying 1 - 2 of 2 reviews

Can't find what you're looking for?

Get help and learn more about the design.