Hien Luu is a passionate AI/ML engineering leader who has been leading the Machine Learning platform at Door Dash since 2020. Hien focuses on developing robust and scalable AI/ML infrastructure for real-world applications. He is the author of the book Beginning Apache Spark 3 and a speaker at conferences such as MLOps World, QCon (SF, NY, London), GHC 2022, Data+AI Summit, and more.
Max Pumperla is a data science professor and software engineer located in Hamburg, Germany. He is an active open source contributor, maintainer of several Python packages, and author of machine learning books. He currently works as a software engineer at Anyscale. As head of product research at Pathmind Inc., he was developing reinforcement learning solutions for industrial applications at scale using Ray RLlib, Serve, and Tune. Max has been a core developer of DL4J at Skymind, and helped grow and extend the Keras ecosystem.
Zhe Zhang has been leading the Ray Engineering team at Anyscale since 2020. Before that, he was at Linked In, managing the Big Data/AI Compute team (providing Hadoop/Spark/Tensor Flow as services). Zhe has been working on Open Source for about a decade. Zhe is a committer and PMC member of Apache Hadoop; and the lead author of the HDFS Erasure Coding feature, which is a critical part of Apache Hadoop 3.0. In 2020 Zhe was elected as a Member of the Apache Software Foundation.
5 Ebooks de Max Pumperla
Alex Tellez & Max Pumperla: Mastering Machine Learning with Spark 2.x
Unlock the complexities of machine learning algorithms in Spark to generate useful data insights through this data analysis tutorial About This Book
- Process and analyze big data in a distrib …
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€45.59
Kevin Ferguson & Max Pumperla: Deep Learning and the Game of Go
Summary Deep Learning and the Game of Go teaches you how to apply the power of deep learning to complex reasoning tasks by building a Go-playing AI. After exposing you to the foundations of machine a …
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€49.29
Richard Liaw & Edward Oakes: Learning Ray
Get started with Ray, the open source distributed computing framework that simplifies the process of scaling compute-intensive Python workloads. With this practical book, Python programmers, data eng …
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€52.78
Richard Liaw & Edward Oakes: Learning Ray
Get started with Ray, the open source distributed computing framework that simplifies the process of scaling compute-intensive Python workloads. With this practical book, Python programmers, data eng …
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€52.48
Hien Luu & Max Pumperla: MLOps with Ray
Understand how to use MLOps as an engineering discipline to help with the challenges of bringing machine learning models to production quickly and consistently. This book will help companies worldwid …
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€62.99