Machine Learning with Python: Step by Step Guide to Build ARTIFICIAL INTELLIGENCE Systems using Python, Scikit-learn, for Machine Learning, Deep Lea
Language: English
Published by LIGHTNING SOURCE INC, 2021
- Hardcover
- Used
Seller: Buchpark, Trebbin, GermanyBuchpark
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Zustand: Hervorragend | Sprache: Englisch | Produktart: Bücher | Keine Beschreibung verfügbar.
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- Title
- Machine Learning with Python: Step by Step Guide to Build ARTIFICIAL INTELLIGENCE Systems using Python, Scikit-learn, for Machine Learning, Deep Lea
- Author
- Benjamin Drew Erickson
- Publisher
- LIGHTNING SOURCE INC
- Publication year
- 2021
- Condition
- Hervorragend
- Binding
- Hardcover
- Language
- English
- ISBN 10
- 1803605820
- ISBN 13
- 9781803605821
- Seller catalogs
- Bücher
Why Python? Because it is powerful and it is very accessible. Python has become the most popular programming language for data science because it allows us to put the boring aspects of programming aside and gives us an environment where we can quickly outline new ideas and directly put new concepts into practice.
In this book we will try to embark on a journey of great interest, which covers all the essential topics and concepts, to allow you to start off in the right way.
Goals you will achieve thanks to this book:
1. To learn the fundamentals of Machine Learning,
2. To understand how to work with Python and Jupyter Notebook,
3. To know the difference between supervised and unsupervised models,
4. To learn how to use Pandas and Scikit-learn,
5. To know how the most popular Machine Learning models work.
Who This Book Is For
If you know some Python and you want to use machine learning and deep learning, pick up this book. Whether you want to start from scratch or extend your machine learning knowledge, this is an essential resource. Written for developers and data scientists who want to create practical machine learning and deep learning code, this book is ideal for anyone who wants to teach computers how to learn from data.
Buy it NOW and let your customers get addicted to this amazing book.
"Synopsis" may belong to another edition of this title.
About the Author
"About the title" may belong to another edition of this title.
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