Browsing by Author Hien Luu

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  • Authors: Hien Luu (2021)

  • In this book, you will gain expertise on the powerful and efficient distributed data processing engine inside of Apache Spark; its user-friendly, comprehensive, and flexible programming model for processing data in batch and streaming; and the scalable machine learning algorithms and practical utilities to build machine learning applications. Beginning Apache Spark 3 begins by explaining different ways of interacting with Apache Spark, such as Spark Concepts and Architecture, and Spark Unified Stack.

  • TVS.006904_Hien Luu_ Max Pumperla_ Zhe Zhang - MLOps with Ray _ Best Practices and Strategies for Adopting Machine Learning Operations-Apress (2024)-GT.pdf.jpg
  • Sách/Book


  • Authors: Hien Luu (2024)

  • This book is intended for machine learning practitioners, such as machine learning engineers, and data scientists, who wish to help their company by adopting, building maps, and practicing MLOps. What You'll Learn Gain an understanding of the MLOps discipline Know the MLOps technical stack and its components Get familiar with the MLOps adoption strategy Understand feature engineering Who This Book Is For Machine learning practitioners, data scientists, and software engineers who are focusing on building machine learning systems and infrastructure to bring ML models to production