Data Science and Engineering with Spark XSeries

What you will learn:

  • How to use Spark and its libraries to solve big data problems
  • How to approach large scale data science and engineering problems
  • Spark's APIs, architecture, and many internal details
  • The trade-offs between communication and computation in a distributed environment
  • Use cases for Spark
Filter Courses within "Data Science and Engineering with Spark XSeries" (Click to filter)
Reset Filters | Advanced Global Search
Distributed Machine Learning with Apache Spark (edX) EdX
University of California, Berkeley,BerkeleyX

Distributed Machine Learning with Apache Spark (edX)

CS: Software Engineering Statistics & Data Analysis

Embark on a journey into the world of Distributed Machine Learning with our expert-led course, designed for those eager to harness the power of Apache Spark. This course will equip you with the essential principles needed to develop robust machine learning (ML) pipelines that can scale effortlessly with your data. Dive deep into understanding how ML extracts valuable insights from vast datasets and gain practical experience using Apache Spark's powerful capabilities.

No sessions available
4 Weeks
Algorithms Machine Learning Exploratory Data Analysis
Details
Page 1