• Python Machine Learning for Beginners

  • Handbook for Machine Learning, Deep Learning and Neural Networks Using Python, Scikit-Learn and TensorFlow
  • By: Finn Sanders
  • Narrated by: Austin R. Stoler
  • Length: 3 hrs
  • 5.0 out of 5 stars (26 ratings)

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Publisher's Summary

Imagine a world where you can make a computer program learn for itself? What if it could recognize who is in a picture or the exact websites that you want to look for when you type it into the program? What if you were able to create any kind of program that you wanted, even as a beginner programmer, without all of the convoluted codes and other information that makes your head spin?

This is actually all possible. The programs that were mentioned before are all a part of machine learning. This is a breakthrough in the world of information technology, which allows the computer to learn how to behave, rather than asking the programmer to think of every single instance that may show up with their user ahead of time. it is taking over the world, and you may be using it now, without even realizing it.

If you have used a search engine, worked with photo recognition, or done speech recognition devices on your phone, then you have worked with machine learning. And if you combine it with the Python programming language, it is faster, more powerful, and easier (even for beginners) to create your own programs today. Python is considered the ultimate coding language for beginners, but once you start to use it, you will never be able to tell. Many of the best programs out there use this language behind them, and if you are a beginner who is ready to learn, this is a great place to start.

If you have a program in mind, or you just want to be able to get some programming knowledge and learn more about the power that comes behind it, then this is the guidebook for you.
 

Some of the topics that we will discuss include:

  • The fundamentals of machine learning, deep learning, and neural networks
  • How to set up your environment and make sure that Python, Tensorflow, and Scikit-learn work well for you
  • How to master neural network implementation using different libraries
  • How random forest algorithms are able to help out with machine learning
  • How to uncover hidden patterns and structures with clustering
  • How recurrent neural networks work and when to use
  • The importance of linear classifiers and why they need to be used in machine learning
  • And much more!

This guidebook is going to provide you with the information you need to get started with Python machine learning. If you have an idea for a great program, but you don’t have the technical knowledge to make it happen, then this guidebook will help you get started. Machine learning has the capabilities, and Python has the ease, to help you, even as a beginner, create any product that you would like.

If you want to learn more about how to make the best programs with Python machine learning, get this book today!

©2019 Finn Sanders (P)2019 Finn Sanders

What listeners say about Python Machine Learning for Beginners

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Informative book, This book filled with so much effected Guidance and information, author has included all major guidance on this book. It has proved as a Helpful book for me. i would suggest this to all.

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Great book on Python and Machine Learning.

Great book on Python and Machine Learning. Having contributed to learning and writing the great extend library he speaks with authority on the topics covered. I really learned a lot!

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Amazing book !

I was interested in learning about modern practice, and this book was extremely helpful in that regard. I loved the author's very careful writing, it is obvious that he lavished this book with love and attention, and it shows.

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This book is well written

This book is well written with understanding that every student will need a complete guide or information to programming . its a book that covers how to install and run python - aim at helping a learner master the steps. recommended for beginners

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I am very satisfied with this book.

I am very satisfied with this book. This is really an excellent book. It includes a completely practical approach to the machine learning topic. I found this book to be very clearly written and also very informative since in addition to providing code examples it tried to illustrate the basics of the theory behind what makes machine learning work. I really like this book and would recommend anyone who needs such type of information.

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Read now

Beginner’s Guide to data analytics properly. This book contains something hidden secret formulas that are very informative for learning python learning. Listen to this book you learn and understand how Python programming works.

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This is an excellent introductory

This is an excellent introductory-intermediate level Machine Learning book. You will get more from the book if you have a some knowledge of python. It teaches to set-up environment and work with a sample data set

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Very useful overview!

This is review is from the perspective of someone who knows a little python and had little knowledge of machine learning, but has kind of seen neural nets and regressions used in different applications over the years

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Incredible book!

This book will stay on your reference shelf for years to come! The authors clearly have taught these materials many times before, and their significant mathematical and technical prowess is delivered using a very approachable style.

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I wish I had listened earlier.

I wish I had listened earlier. It is a fantastic introduction that is very rich in intuition and super practical.
So if you want to learn deep learning or just curious about neural networks, you will not find a better book than this one

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  • Dylan I Sanders
  • 07-11-19

Five Stars

This book detail is really amazing. After reading this book I am really so impressed. I would recommend this book to anyone. Overall, especially thanks to the author.

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  • Thomas Y Wallis
  • 07-10-19

The book is really awesome.

The book is really awesome, great for the python learning. If the terms are used, they should be defined upfront. If various specific methods are mentioned, it would be good to provide a comparison and overview of those.

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  • Joe E Gordon
  • 07-09-19

Excellent book

I'm very pleased with this book. It includes a completely practical approach to the machine learning topic. Not only details about all algorithms but also discusses various critical steps in preparing the data sets for ML work, evaluating the models using APIs from Scikit-Learn and Tensor Flow.

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  • Evan C Lawrence
  • 07-09-19

The best Python book for beginners

On the off chance that you are not kidding about Machine learning and you are not happy with the client just methodology, you will discover clarifications, precedents and thinking directly here. The book is an introduction to machine learning techniques which covers many of the topics without going into any detailed explanations.

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  • Leon A Pugh
  • 07-08-19

very informative

This book will get you writing Python Machine Learning code to work your current M.L. problem in no time flat!

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  • Lucy E Burgess
  • 07-08-19

Good content and examples

Great introduction to machine learning in Python.Quick delivery. Great book! One of my key references in deep learning.

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  • Leah T Oliver
  • 07-08-19

Well written

This guide clarified nearly all that you have to think about Python Machine learning . This book was genuinely ready to assist me with learning Python the easy way.

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  • Danielle C Harvey
  • 07-08-19

One of the Best

Nice and descriptive book for Python machine learning. But it came fast, a great book if you want to practice machine learning. Pretty high level material and good for reference.

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    4 out of 5 stars
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  • Alicia H Brookes
  • 07-08-19

Helpful guide

Helpful guide about python machine learning. A lot of useful and interesting described in detail information and tips about how analytic, analysis data. I like this book and advice it to you.

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  • Liam L Foster
  • 07-07-19

Great book on Python and Machine Learning

I'm very pleased with this book. It includes a completely practical approach to the machine learning topic. I found this book to be very clearly written and also very informative since in addition to providing code examples it tried to illustrate the basics of the theory behind what makes machine learning work. I am recommended this book and thank you, author.