книга Machine Learning: A Comprehensive, Step-by-Step Guide to Intermediate Concepts and Techniques in Machine Learning

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Machine Learning: A Comprehensive, Step-by-Step Guide to Intermediate Concepts and Techniques in Machine Learning

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Название: Machine Learning: A Comprehensive, Step-by-Step Guide to Intermediate Concepts and Techniques in Machine Learning
Автор: Peter Bradley
Страниц: 79
Формат: EPUB, AZW3, PDF
Размер: 10.1 MB
Качество: Отличное
Язык: Английский
Год издания: 2018


 Do you want to impress the processes that you are working on? Do you want to make your machines more intelligent? If your answer to any of those questions is yes, then you have come to the right place. This book is a sequel to the book titled 'Machine Learning: A Step-by-Step guide.' In the first book, you gathered information on what machine learning is, and the different algorithms that one needs to know. This book is written for those who have a basic understanding of what machine learning is. 


In this book, you will gather information on:
Practical examples of machine learning
How to build a machine learning algorithm in Python
An introduction to deep learning and neural networks
How to create a neural network in Python using Keras
And much more

The book breaks the process of building a machine-learning model in Python into simple steps. These steps will help you build your very own machine-learning model from scratch. You should first build the model using the programs and scripts given in the book before you build your model from scratch. If you want to learn more about what you can do with machine learning, then this is the perfect book for you.

Table of Contents:

Introduction
Chapter One: Practical Examples of Machine Learning
Chapter Two: Advantages and Disadvantages of Machine Learning
Chapter Three: How to Create and Train Machine Learning Models
Chapter Four: An Introduction to Deep Learning
Chapter Five: An Introduction to Neural Networks
Chapter Six: Building Your First Algorithm in Python
Chapter Seven: How To Build An Algorithm in Python
Chapter Eight: How To Evaluate Machine Learning Algorithms in Python?
Chapter Nine: How to Develop a Neural Network in Python using Keras
Conclusion
Sources


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