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

Author:   Samuel Hack
Publisher:   Samuel Hack
ISBN:  

9781801728775


Pages:   638
Publication Date:   24 May 2021
Format:   Paperback
Availability:   In stock   Availability explained
Limited stock is available. It will be ordered for you and shipped pending supplier's limited stock.

Our Price $111.24 Quantity:  
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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


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Overview

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 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 - MACHINE LEARNING MATHEMATICS, you will: 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 discover: How 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 will: Learn 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. So don't wait - it's never been easier to learn. Buy Now to Become a Master of Python and Machine Learning Today!

Full Product Details

Author:   Samuel Hack
Publisher:   Samuel Hack
Imprint:   Samuel Hack
Dimensions:   Width: 15.20cm , Height: 3.30cm , Length: 22.90cm
Weight:   0.839kg
ISBN:  

9781801728775


ISBN 10:   1801728771
Pages:   638
Publication Date:   24 May 2021
Audience:   General/trade ,  General
Format:   Paperback
Publisher's Status:   Unknown
Availability:   In stock   Availability explained
Limited stock is available. It will be ordered for you and shipped pending supplier's limited stock.

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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.

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