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You're reading from Apache Spark 2.x Machine Learning Cookbook

Product typeBook

Published inSep 2017

Reading LevelIntermediate

PublisherPackt

ISBN-139781783551606

Edition1st Edition

Languages

Scala

Tools

Apache Spark

Concepts

Machine Learning

Authors (5):

Mohammed Guller

Siamak Amirghodsi

Shuen Mei

Meenakshi Rajendran

Broderick Hall

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Credits

Authors

Siamak Amirghodsi

Meenakshi Rajendran

Broderick Hall

Shuen Mei

Copy Editor

Safis Editing

Reviewers

Sumit Pal

Mohammad Guller

Project Coordinator

Sheejal Shah

Commissioning Editor

Ashwin Nair

Proofreader

Safis Editing

Acquisition Editor

Vinay Argekar

Indexer

Rekha Nair

ContentDevelopmentEditor

Nikhil Borkar

Graphics

Kirk D'Penha

Technical Editor

Madhunikita Sunil Chindarkar

Production Coordinator

Melwyn Dsa

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Authors (5)

Mohammed Guller

Author of Big Data Analytics with Spark - http://www.apress.com/9781484209653
Read more about Mohammed Guller

Siamak Amirghodsi

Siamak Amirghodsi (Sammy) is interested in building advanced technical teams, executive management, Spark, Hadoop, big data analytics, AI, deep learning nets, TensorFlow, cognitive models, swarm algorithms, real-time streaming systems, quantum computing, financial risk management, trading signal discovery, econometrics, long-term financial cycles, IoT, blockchain, probabilistic graphical models, cryptography, and NLP.
Read more about Siamak Amirghodsi

Shuen Mei

Shuen Mei is a big data analytic platforms expert with 15+ years of experience in designing, building, and executing large-scale, enterprise-distributed financial systems with mission-critical low-latency requirements. He is certified in the Apache Spark, Cloudera Big Data platform, including Developer, Admin, and HBase. He is also a certified AWS solutions architect with emphasis on peta-byte range real-time data platform systems.
Read more about Shuen Mei

Meenakshi Rajendran

Meenakshi Rajendran is experienced in the end-to-end delivery of data analytics and data science products for leading financial institutions. Meenakshi holds a master's degree in business administration and is a certified PMP with over 13 years of experience in global software delivery environments. Her areas of research and interest are Apache Spark, cloud, regulatory data governance, machine learning, Cassandra, and managing global data teams at scale.
Read more about Meenakshi Rajendran

Broderick Hall

Broderick Hall is a hands-on big data analytics expert and holds a masters degree in computer science with 20 years of experience in designing and developing complex enterprise-wide software applications with real-time and regulatory requirements at a global scale. He is a deep learning early adopter and is currently working on a large-scale cloud-based data platform with deep learning net augmentation.
Read more about Broderick Hall

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