Machine Learning with Scikit-Learn and TensorFlow: Deep Learning with Python (Random Forests, Decision Trees, and Neural Networks)

Author:   Emery H Maxwell
Publisher:   Independently Published
ISBN:  

9781092130776


Pages:   54
Publication Date:   29 March 2019
Format:   Paperback
Availability:   Available To Order   Availability explained
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Machine Learning with Scikit-Learn and TensorFlow: Deep Learning with Python (Random Forests, Decision Trees, and Neural Networks)


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Overview

It appears that the development of artificial intelligence is expanding. Certain tools are working behind the scenes of everyday life as prediction models by allowing computers to learn and act without human intervention.The result so far has been self-driving vehicles, improved internet browsing, and more.Even if you are not a programmer or data scientist, it can still be interesting to discover how machine learning works.This book is intended to guide you through the fundamentals of machine learning through Python, Scikit-Learn, and TensorFlow.It will cover: - An overview of Python, neural networks, Scikit-Learn, TensorFlow, random forests, decision trees, machine learning, and deep learning- How to get started with Python- How to run a line of code- How to get started with Scikit-Learn- How to work with data- How to use TensorFlow- How to use datasets- Computational graphs- How search algorithms work- How clustering algorithms work- . . . and more

Full Product Details

Author:   Emery H Maxwell
Publisher:   Independently Published
Imprint:   Independently Published
Dimensions:   Width: 15.20cm , Height: 0.30cm , Length: 22.90cm
Weight:   0.091kg
ISBN:  

9781092130776


ISBN 10:   1092130772
Pages:   54
Publication Date:   29 March 2019
Audience:   General/trade ,  General
Format:   Paperback
Publisher's Status:   Active
Availability:   Available To Order   Availability explained
We have confirmation that this item is in stock with the supplier. It will be ordered in for you and dispatched immediately.

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