Free PDF Python Machine Learning: Machine Learning and Deep Learning with Python, scikit-learn and Tensorflow (Step-by-Step Tutorial For Beginners)
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Python Machine Learning: Machine Learning and Deep Learning with Python, scikit-learn and Tensorflow (Step-by-Step Tutorial For Beginners)
Free PDF Python Machine Learning: Machine Learning and Deep Learning with Python, scikit-learn and Tensorflow (Step-by-Step Tutorial For Beginners)
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From the Author
I'm a father, husband, academician, professional developer, and machine learning practitioner. I wrote this tutorial because I find machine learning fascinating and I want to help developers get started at applied machine learning. I see a lot of developers not getting started, "getting ready" to get started, and generally studying the wrong things, buying big boring textbooks and I think it is a huge waste of time. I hope that the information in this book will be helpful to you.Â
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From the Back Cover
This book by Samuel Burns is a tutorial to a broad range of machine learning applications with Python. It provides a practical introduction to machine learning using popular libraries like SciPy, NumPy, scikit-learn, Matplotlib, and pandas. Newbies to the world of machine learning will be happy with this book. An overview of the main subareas of machine learning is given, giving you an idea of what kind of methods to use for several types of problems. Users interested in reinforcement learning with their applications won't get a lot of help from this book.This book will teach you machine learning classifiers using scikit-learn and tensorflow . The book provides a great overview of functions you can use to build a support vector machine, decision tree, perceptron, and k-nearest neighbors. Thanks of this book you will be able to set up a learning pipeline that handles input and output data, pre-processes it, selects meaningful features, and applies a classifier on it. This book offers a lot of insight into machine learning for both beginners, as well as for professionals, who already use some machine learning techniques. Concepts and the background of these concepts are explained clearly in this tutorial.
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Product details
Series: Step-by-Step Tutorial For Beginners (Book 1)
Paperback: 146 pages
Publisher: Independently published (March 13, 2019)
Language: English
ISBN-10: 1090434162
ISBN-13: 978-1090434166
Product Dimensions:
6 x 0.4 x 9 inches
Shipping Weight: 9.8 ounces (View shipping rates and policies)
Average Customer Review:
5.0 out of 5 stars
20 customer reviews
Amazon Best Sellers Rank:
#232,898 in Books (See Top 100 in Books)
This book is a tour of Machine Learning with Python, using the most popular libraries. The book is easy and intuitive for a beginner. I would recommend all absolute beginner to start machine learning from this book. It is a nice introduction to Machine Learning without much maths needed. This book will give you a good sense of the basics, a walkthrough of scikit-learn and hopefully some intuition about the popular algorithms. This book is very useful for every practitioner who wants to apply a machine learning algorithm to real world problems because of example codes in the book. I am very happy that I bought this book.
If you are looking to get started on machine learning with python, this is the book. The examples are simple and it covers the most important machine learning algorithms. This is a fantastic introductory book in machine learning with python. The Author provides enough background about the theory of each technique followed by its python code. You’ll learn the steps necessary to create a successful machine-learning application with Python, the scikit-learn and TenserFlow libraries. I highly recommand this book for everyone.
I think this is a very helpful machine learning and Python manual. It's well organized, pretty easy to follow, and it not only offers a strong foundation for smart, non-experts, but practitioners will also get some ideas and learn new tricks here as well. There's also a collection of iPython notebooks that go along with the manual and they're great for quickly diving into the code and seeing how it really works. Thanks, Samuel.
This is a great book on Python Machine Learning.All of the things, tips and guides that I need to know about learning with Python, scikit-learn and Tensorflow are already included and well written inside. Samuel Burns has done an incredible awesome job in compiling and creating this book.Overall, this book is very informative, useful and well explained.
This book shows some excellent uses of scikit learn. Intermediate python user level.Easy bookWell Written By Author.Good step by step writing .
This is a book for those who want to understand the intuition of a particular machine learning algorithm, and then try out the algorithm using Scikit-Learn or TensorFlow. Minimal mathematics formulas are used. This book is very informative. Thank you.
This book could be extremely helpful if you are a beginner in machine learning fundamentals in general, and machine learning using python in particular. Of course, some basic prior programming experience is a must, but overall it's a very detailed book that I highly recommend
This is a great book for software engineers who want to learn machine learning. I was looking for something with more details that covers all different algorithms. This book is exactly what I need. Thank you!
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