你将学到什么
Using Spark to explore data and prepare for modeling
Build supervised machine learning models
Evaluate and optimize models
Build recommenders and unsupervised machine learning models
课程概况
Are you ready for big data science? In this course, learn how to implement predictive analytics solutions for big data using Apache Spark in Microsoft Azure HDInsight. See how to work with Scala or Python to cleanse and transform data and build machine learning models with Spark ML (the machine learning library in Spark).
Note: To complete the hands-on elements in this course, you will require an Azure subscription and a Windows client computer. You can sign up for a free Azure trial subscription (a valid credit card is required for verification, but you will not be charged for Azure services). Note that the free trial is not available in all regions.
edX offers financial assistance for learners who want to earn Verified Certificates but who may not be able to pay the fee. To apply for financial assistance, enroll in the course, then follow this link to complete an application for assistance.
课程大纲
Introduction to Data Science with Spark
Get started with Spark clusters in Azure HDInsight, and use Spark to run Python or Scala code to work with data.
Getting Started with Machine Learning
Learn how to build classification and regression models using the Spark ML library.
Evaluating Machine Learning Models
Learn how to evaluate supervised learning models, and how to optimize model parameters.
Recommenders and Unsupervised Models
Learn how to build recommenders and clustering models using Spark ML.
预备知识
Familiarity with Azure HDInsight.
Familiarity with databases and SQL.
Some programming experience.
A willingness to learn actively in a self-paced manner.
