Follow Gregory Piatetsky, No. 1 on LinkedIn Top Voices in Data Science & Analytics

KDnuggets Home » News » 2017 » Oct » News, Features » Data Scientist Guide to Apache Spark ( 17:n41 )

Data Scientist Guide to Apache Spark


 
 
Tags: , , , ,

Learn how data scientists can leverage Spark for advanced analytics with The Data Scientist’s Guide to Apache Spark, from Databricks!


Sponsored Post.

Looking to dive deeper into the more cutting edge machine learning use cases in Apache Spark? To successfully use Spark’s advanced analytics capabilities including large scale machine learning and graph analysis, check out The Data Scientist’s Guide to Apache Spark, from Databricks.

This eBook features key excerpts from the upcoming book Definitive Guide to Apache Spark by Matei Zaharia (creator of Apache Spark) and Bill Chambers.

Download this eBook to:

  • Learn the fundamentals of advanced analytics and receive a crash course in machine learning.
  • Get a deep dive on MLlib, the primary machine learning package in Spark’s advanced analytics toolkit.
  • Discover key use cases for implementing recommendation engines, deep learning algorithms, and more.

 

Download the eBook
The Data Scientist's Guide to Apache Spark

Get the eBook

Sincerely,
The Databricks Team



Top Stories Past 30 Days

Most Popular
  1. Why You Shouldn't be a Data Science Generalist
  2. 9 Must-have skills you need to become a Data Scientist, updated
  3. The cold start problem: how to build your machine learning portfolio
  4. Introduction to Statistics for Data Science
  5. The Essence of Machine Learning
  6. The Five Best Data Visualization Libraries
  7. 10 More Must-See Free Courses for Machine Learning and Data Science
Most Shared
  1. 10 More Must-See Free Courses for Machine Learning and Data Science
  2. The Essence of Machine Learning
  3. Introduction to Statistics for Data Science
  4. Papers with Code: A Fantastic GitHub Resource for Machine Learning
  5. A Guide to Decision Trees for Machine Learning and Data Science
  6. Top Python Libraries in 2018 in Data Science, Deep Learning, Machine Learning
  7. The cold start problem: how to build your machine learning portfolio

KDnuggets Home » News » 2017 » Oct » News, Features » Data Scientist Guide to Apache Spark ( 17:n41 )

Get KDnuggets, a leading newsletter on AI, Data Science, and Machine Learning
Sign Up