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portada Machine Learning with Scikit-Learn and TensorFlow: Deep Learning with Python (Random Forests, Decision Trees, and Neural Networks) (in English)
Type
Physical Book
Language
Inglés
Pages
54
Format
Paperback
Dimensions
22.9 x 15.2 x 0.3 cm
Weight
0.09 kg.
ISBN13
9781092130776

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

Emery H. Maxwell (Author) · Independently Published · Paperback

Machine Learning with Scikit-Learn and TensorFlow: Deep Learning with Python (Random Forests, Decision Trees, and Neural Networks) (in English) - Maxwell, Emery H.

Physical Book

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

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

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The book is written in English.
The binding of this edition is Paperback.

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