Chat

Computer Science Books

Spark for Data Science Pages : 196 - Edition : 0 - Type : pdf

(9 downloads)

Spark for Data Science (Bikramaditya Singhal, Srinivas Duvvuri)

Shared by le kaka on 2016-10-12

Spark for Data Science Author: Bikramaditya Singhal, Srinivas Duvvuri Pub Date: 2016 Publisher: Packt Publishing ISBN: 978-1-78588-565-5 Pages: 196 Language: English Format: PDF/EPUB Size: 15 Mb Analyze your data and delve deep into the world of machine learning with the latest Spark version, 2.0 This is the era of Big Data and Internet of Things! Big Data implies big innovation and enables a competitive advantage for businesses. Apache Spark was designed to perform Big Data analytics at scale, and so Spark is equipped with the necessary algorithms and supports multiple programming languages. Whether you are a technologist, a data scientist, or a beginner to Big Data analytics, this book will provide you with all the skills necessary to perform statistical data analysis, data visualization, predictive modeling, and build scalable data products or solutions using Python, Scala, and R. With ample case studies and real-world examples, Spark for Data Science will help you ensure the successful execution of your data science projects. What you will learn Consolidate, clean, and transform your data acquired from various data sources Perform statistical analysis of data to find hidden insights Explore graphical techniques to see what your data looks like Use machine learning techniques to build predictive models Build scalable data products and solutions Start programming using the RADD API Become an expert by improving your data analytical skills

tags  Tags:  Spark  , Data Science 

Vote (0)

Report Link

icon_top

Contact us through a traditional message

*Please input your name.
*Please input your email. *Your email is wrong format.
*Please input message.