[PDF.53ok] Machine Learning with Spark - Second Edition
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Machine Learning with Spark - Second Edition
[PDF.kh69] Machine Learning with Spark - Second Edition
Machine Learning with Spark Rajdeep Dua, Manpreet Singh Ghotra, Nick Pentreath epub Machine Learning with Spark Rajdeep Dua, Manpreet Singh Ghotra, Nick Pentreath pdf download Machine Learning with Spark Rajdeep Dua, Manpreet Singh Ghotra, Nick Pentreath pdf file Machine Learning with Spark Rajdeep Dua, Manpreet Singh Ghotra, Nick Pentreath audiobook Machine Learning with Spark Rajdeep Dua, Manpreet Singh Ghotra, Nick Pentreath book review Machine Learning with Spark Rajdeep Dua, Manpreet Singh Ghotra, Nick Pentreath summary
| #1064699 in Books | 2017-04-28 | 2017-04-28 | Original language:English | PDF # 1 | 9.25 x1.20 x7.50l, | File type: PDF | 532 pages||3 of 3 people found the following review helpful.| A mess|By Julien|I hate to say this, but this book is a mess. It feels like an early draft: did anyone actually proofread this? Not a page goes by without typos, duplicate sentences, misplaced code, etc. There's also a constant mix of 1.6 and 2.0 APIs, which I find very confusing. Code samples come from 2 different repos. The list goes on... Too bad, as the content is actually|About the Author||Rajdeep Dua|Rajdeep Dua has over 16 years of experience in the Cloud and Big Data space. He worked in the advocacy team for Google's big data tools, BigQuery. He worked on the Greenplum big data platform at VMware in the developer evange
Create scalable machine learning applications to power a modern data-driven business using Spark 2.x
About This Book
Get to the grips with the latest version of Apache Spark
Utilize Spark's machine learning library to implement predictive analytics
Leverage Spark's powerful tools to load, analyze, clean, and transform your data
Who This Book Is For
If you have a basic knowledge of machine learning and want ...
You easily download any file type for your gadget.Machine Learning with Spark - Second Edition | Rajdeep Dua, Manpreet Singh Ghotra, Nick Pentreath. A good, fresh read, highly recommended.