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Distributed Machine Learning with PySpark: Migrating Effortlessly from Pandas and Scikit-Learn by Testas, Abdelaziz | Paperback | Artificial Intelligence
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Specifications
| author | Testas, Abdelaziz |
| publisher | APress |
| isbn13 | 9781484297506 |
| isbn10 | 1484297504 |
| binding | paperback |
| language | english |
| edition | 1st ed. |
| pages | 490 |
Product Description
Here on GlowMirror, you'll find Distributed Machine Learning with PySpark: Migrating Effortlessly from Pandas and Scikit-Learn by Testas, Abdelaziz | Paperback | Artificial Intelligence filed under Computers & Internet -- everything you need to know is covered below.
About this book
Distributed Machine Learning with PySpark: Migrating Effortlessly from Pandas and Scikit-Learn by Testas, Abdelaziz published by APress.
Related topics
Python, Scalable machine learning, Large-Scale machine learning, Machine Learning, PySpark, Scikit-learn, Distributed Machine Learning.
Book Insights
What You'll Learn
- ·Fundamental and advanced concepts in Distributed Machine Learning with PySpark: Migrating Effortlessly from Pandas and Scikit-Learn by Testas, Abdelaziz | Paperback | Artificial Intelligence
- ·Code examples, algorithms, and implementation patterns
- ·Best practices and industry-relevant skills
Who Should Read This
Software developers, IT professionals, computer science students, and tech enthusiasts.
Key Highlights
- ·Brand new physical book delivered across India
- ·15-day hassle-free return policy
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Is Distributed Machine Learning with PySpark: Migrating Effortlessly from Pandas and Scikit-Learn by Testas, Abdelaziz | Paperback | Artificial Intelligence available in English?
Distributed Machine Learning with PySpark: Migrating Effortlessly from Pandas and Scikit-Learn by Testas, Abdelaziz | Paperback | Artificial Intelligence is available in english on GlowMirror.
Who is the author of Distributed Machine Learning with PySpark: Migrating Effortlessly from Pandas and Scikit-Learn by Testas, Abdelaziz | Paperback | Artificial Intelligence?
Distributed Machine Learning with PySpark: Migrating Effortlessly from Pandas and Scikit-Learn by Testas, Abdelaziz | Paperback | Artificial Intelligence is authored by Testas, Abdelaziz.
Who published Distributed Machine Learning with PySpark: Migrating Effortlessly from Pandas and Scikit-Learn by Testas, Abdelaziz | Paperback | Artificial Intelligence?
Distributed Machine Learning with PySpark: Migrating Effortlessly from Pandas and Scikit-Learn by Testas, Abdelaziz | Paperback | Artificial Intelligence is published by APress.
How many pages does Distributed Machine Learning with PySpark: Migrating Effortlessly from Pandas and Scikit-Learn by Testas, Abdelaziz | Paperback | Artificial Intelligence have?
Distributed Machine Learning with PySpark: Migrating Effortlessly from Pandas and Scikit-Learn by Testas, Abdelaziz | Paperback | Artificial Intelligence has 490 pages.
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At an average reading speed of 250 words per minute, reading Distributed Machine Learning with PySpark: Migrating Effortlessly from Pandas and Scikit-Learn by Testas, Abdelaziz | Paperback | Artificial Intelligence takes approximately 12 hours.
What is Distributed Machine Learning with PySpark: Migrating Effortlessly from Pandas and Scikit-Learn by Testas, Abdelaziz | Paperback | Artificial Intelligence about?
About this book
Distributed Machine Learning with PySpark: Migrating Effortlessly from Pandas and Scikit-Learn by Testas, Abdelaziz published by APress.
Related topics
Python, Scalable machine learning, Large-Scale machine learning, Machine Learning, PySpark, Scikit-learn, Distributed Machine Learn...
Is Distributed Machine Learning with PySpark: Migrating Effortlessly from Pandas and Scikit-Learn by Testas, Abdelaziz | Paperback | Artificial Intelligence suitable for beginners?
Whether Distributed Machine Learning with PySpark: Migrating Effortlessly from Pandas and Scikit-Learn by Testas, Abdelaziz | Paperback | Artificial Intelligence is suitable for beginners depends on your background in Computers & Internet. Review the product description and specifications above for details on the target audience and difficulty level.
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