You're reading from Machine Learning with Spark. - Second Edition

Product typeBook

Published inApr 2017

Reading LevelIntermediate

PublisherPackt

ISBN-139781785889936

Edition2nd Edition

Languages

Scala

Tools

Apache Spark

Concepts

Machine Learning

Authors (2):

Rajdeep Dua

Manpreet Singh Ghotra

View More author details

Spark MLlib

Apache Spark is an open-source platform for large dataset processing. It is well suited for iterative machine learning tasks as it leverages in-memory data structures such as RDDs. MLlib is Spark's machine learning library. MLlib provides functionality for various learning algorithms-supervised and unsupervised. It includes various statistical and linear algebra optimizations. It is shipped along with Apache Spark and hence saves on installation headaches like some other libraries. MLlib supports several higher languages such as Scala, Java, Python and R. It also provides a high-level API to build machine-learning pipelines.

MLlib's integration with Spark has quite a few benefits. Spark is designed for iterative computation cycles; it enables efficient implementation platform for large machine learning algorithms, as these algorithms are themselves iterative.

Any improvement in Spark's...

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Machine Learning with Spark. - Second Edition

Published in: Apr 2017Publisher: PacktISBN-13: 9781785889936

Authors (2)

Rajdeep Dua

Rajdeep Dua has over 18 years experience in the cloud and big data space. He has taught Spark and big data at some of the most prestigious tech schools in India: IIIT Hyderabad, ISB, IIIT Delhi, and Pune College of Engineering. He currently leads the developer relations team at Salesforce India. He has also presented BigQuery and Google App Engine at the W3C conference in Hyderabad. He led the developer relations teams at Google, VMware, and Microsoft, and has spoken at hundreds of other conferences on the cloud. Some of the other references to his work can be seen at Your Story and on ACM digital library. His contributions to the open source community relate to Docker, Kubernetes, Android, OpenStack, and Cloud Foundry.
Read more about Rajdeep Dua

Manpreet Singh Ghotra

Manpreet Singh Ghotra has more than 15 years experience in software development for both enterprise and big data software. He is currently working at Salesforce on developing a machine learning platform/APIs using open source libraries and frameworks such as Keras, Apache Spark, and TensorFlow. He has worked on various machine learning systems, including sentiment analysis, spam detection, and anomaly detection. He was part of the machine learning group at one of the largest online retailers in the world, working on transit time calculations using Apache Mahout, and the R recommendation system, again using Apache Mahout. With a master's and postgraduate degree in machine learning, he has contributed to, and worked for, the machine learning community.
Read more about Manpreet Singh Ghotra

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