• Machine Learning: 2 Manuscripts in 1 Book: Machine Learning for Beginners and Machine Learning with Python

  • By: Hein Smith
  • Narrated by: William Bahl
  • Length: 3 hrs and 17 mins
  • 4.7 out of 5 stars (55 ratings)

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Publisher's Summary

A baby learns to crawl, walk and then run. we are in the crawling stage when it comes to applying machine learning.

Just about anyone with the slightest bit of interest in modern technology is looking to learn more about machine learning. This innovative, new form of computer programming is the primary tool that makes it possible for a machine to perform a wide range of tasks for you that could range from recommending a good movie to driving you to work every day.

This Machine Learning bundle contains everything you need to know about machine learning and has the following guides:

  • Machine Learning for Beginners
  • Machine Learning with Python

Most of the books on the topic assume that you have at least a fundamental knowledge of the subject. If you’re interested in getting a better grasp at just how this new technology works and what it means for the masses, then this is the book for you.

Here you will learn:

  • What machine learning truly is.
  • What are neural networks.
  • How it applies to deep learning.
  • What are algorithms and how are they used.
  • And some of the many applications that machine learning is already using.

Are you stuck in getting started with machine learning with python? Machine Learning with Python walks you through steps for getting started with machine learning with Python. You’ll discover the steps required to develop a successful machine learning application using Python and Scikit-learn library. As a discipline, ML tries to design and understand computer programs for purpose of prediction. With Machine Learning with Python, you’ll learn :

  • The important concepts and real-world application of machine learning.
  • Pros and cons of most popular machine learning algorithms.
  • The basics of Python.
  • Learn about data preprocessing, analysis, and visualization.
  • Preprocessing techniques to use in data.
  • Regression methods.
  • Clustering.
  • Recommendation engines.
  • And much more...

If you’re ready to have a tool that breaks down this complex topic in simple language then this is your chance. Download your copy and listen now, so you can get started on what is promising to be a most amazing future.

Scroll up and click the "Buy Now" button! 

©2019 HEIN SMITH (P)2019 HEIN SMITH

What listeners say about Machine Learning: 2 Manuscripts in 1 Book: Machine Learning for Beginners and Machine Learning with Python

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Brilliant

This book is brilliant in explaining the why behind key concepts of machine learning. Presenting the algorithms and some of the elements of the linked theory, altogether with Python code is really useful.

The author will let you know What exactly is machine learning and why should we care, How neural networks actually work, Algorithms and what they can do, Algorithms and what they can do, and What’s in store for all of us in the furthermore, among others.

I am impressed with how this book was designed, its layout is very logical and can take you from the basic terms too complicated knowledge, the action is louder than speaking, it also uses Scikit-learn to teach newbies like me to practice those theories.

If you are looking for machine learning to help you get started right away, this is one of the best book to start. It could also act as a good reference framework for all the different approaches and techniques covered.

6 people found this helpful

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Informative

Do you want to learn more about the amazing world of data science, and what it can do for you? Then keep listening. This book delves into the fundamentals behind Python and data science, from basic code and concepts to complex neural networks and data manipulation.

Machine Learning for beginners and Machine Learning with Python walks you through the steps to get started. It is an absolute guide to learn and understand ML effectively. This Machine Learning breaks down the basics of what this new technology is so that even the virgin computer programmer will be able to understand.

In Machine Learning for beginners, you will learn what machine learning is, what are neural networks, how it all relates to deep learning, how algorithms have been used, and the many different applications that are already using it.

In Machine Learning with Python, you’ll learn all the important topics that you need to know for you to implement machine learning with Python. You’ll also load a dataset and understand its structure using data visualization and summaries.

Through this guidebook, I was able to know how to install Python, important concepts, and real-world application of machine learning, pros, and cons of most popular machine learning algorithms, regression methods, among others.

Overall, a great practical guidebook to get started and execute on Machine Learning without necessarily knowing much about Machine Learning.

If you stuck in getting started with Machine Learning, then get this book.

6 people found this helpful

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Extremely helpful

I found this book extremely helpful. Machine Learning: 2 MaManustcipts in 1 book: Machine Learning for Beginners and Machine Learning with Python by Hein Smith offers great information that I never knew before. It is very informative, concise, and easy to implement.

Hein seems to be an experienced ML-engineer, which allows him to recommend ways of approaching certain problems. He explains typical ways of solving known problems, like transfer learning, handling imbalanced datasets, and combining models. With the addition of some introduction to newer and less known concepts, this book kicks you in the right direction.

After I listened to this guide, all my questions were answered. I can say that this is a great book for breaking into machine learning or just looking up material.

4 people found this helpful

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Gives a clear understanding

Master the world of Python and machine learning with this incredible two-in-one bundle. This book contains everything you need to know about machine learning. I went through the entire book and coded the examples in two days. Whether you're completely new to programming or you are looking for a new language to expand your skills, you will find this book an invaluable tool for mastering programming in Python and solving problems with practical techniques used by data scientists.

4 people found this helpful

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I enjoyed this book

This book breaks down the very basics of what this new technology is so that even the virgin computer programmer will be able to understand. If you stuck in getting started with machine learning with python, the get this audiobook. Machine Learning with Python walks you through steps for getting started with machine learning with Python.

3 people found this helpful

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Fantastic

What I love about Hein's writing is how he builds up from theory to practical code. It lays out the concepts, math, and code together which helps comprehension. The chapters of the book build up from each other; so many of the examples feel like they can be used as formula/methods for building your own custom models. So, if you happen to be rusty in math, like me, you can look to the code to help explain what the equations actually do.

3 people found this helpful

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Comprehensive book

Love it! Most of the books on the market only take a brief look into Python, showing some of the topics but never going deep and showing you how to work on the code. Through the help of this book, you will be able to learn more about how coding in this language works, and how even someone with no coding experience can make it work. This audiobook really a great learning tool.

3 people found this helpful

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Great info

Machine Learning: 2 Manuscripts in 1 Book: Machine Learning for Beginners and Machine Learning with Python offers a very helpful and informative guide to anyone especially for the beginner. Having this book will make you learn the fundamental concepts and entire process on python data science. In it, you'll be guided on how to setup you work environment before diving into the world of data science.

3 people found this helpful

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This book was clear and interesting

This book will be a good reference once I have gained some knowledge on ML. We were covering the basics of ML in anomaly-based intrusion detection and prevention and I needed a little more than was provided in the lectures. Great intro to the world of Machine Learning and pointer to the next steps in a very interesting journey.

2 people found this helpful

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Fabulous audible

The book focuses on supervised and unsupervised machine learning methods, but not much about reinforcement learning. I am impressed with how this book was designed, its layout is very logical and can take you from the basic terms too complicated knowledge, the action is louder than speaking, it also uses Scikit-learn to teach newbies like me to practice those theories. I would recommend it to anyone.

2 people found this helpful

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  • Margaret Colines
  • 05-27-20

Happy I found this

Very good book if you're already familiar with Python. Every algorithm is made easy to understand with step by step explanations. A wonderful book for more experienced Machine Learning users as there are plenty of comparisons between different algorithms which could be useful to address specific problems.

1 person found this helpful

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  • Jane Gates
  • 05-24-20

To the point

Great book! One of my key references in deep learning. The chapters of the book build up from each other; so many of the examples feel like they can be used for building your own custom models.

1 person found this helpful

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  • Isaiah Curtis
  • 05-22-20

Liked it

This book is designed for lsiteners taking their first steps in machine learning and further learning will be required beyond this book to master machine learning.

1 person found this helpful

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  • akonmalik
  • 05-02-19

informative book

Hi Listeners, This book speaks about growth Machine Learning. This is a great informative book, It will defiantly helpful for all the peoples.

  • Overall
    4 out of 5 stars
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    3 out of 5 stars
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  • akrammalik
  • 05-02-19

5 star

I gave 5 stars because it is well arranged, the topics are clear enough and the references are good, I would recommend it for everyone.

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  • achu03
  • 05-02-19

Wonderful book!

Wonderful book! This kept my interest from beginning to end. Would love to see more from this author.