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Machine Learning with PySpark

With Natural Language Processing and Recommender Systems

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  • 240 pages
  • 9 hours of reading

More about the book

The updated edition focuses on mastering new features in PySpark 3.1 for developing intelligent, data-driven applications. It covers a range of topics, including building scalable machine learning models, implementing natural language processing, and creating recommender systems, providing readers with the tools to enhance their data processing skills.

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Machine Learning with PySpark, Pramod Singh

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Released
2021
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