基于大数据的机器学习

你将学到什么

课程概况

Want to make sense of the volumes of data you have collected? Need to incorporate data-driven decisions into your process? This course provides an overview of machine learning techniques to explore, analyze, and leverage data. You will be introduced to tools and algorithms you can use to create machine learning models that learn from data, and to scale those models up to big data problems.

At the end of the course, you will be able to:
• Design an approach to leverage data using the steps in the machine learning process.
• Apply machine learning techniques to explore and prepare data for modeling.
• Identify the type of machine learning problem in order to apply the appropriate set of techniques.
• Construct models that learn from data using widely available open source tools.
• Analyze big data problems using scalable machine learning algorithms on Spark.

Software Requirements:
Cloudera VM, KNIME, Spark

课程大纲

周1
完成时间为 24 分钟
Welcome
2 个视频 （总计 14 分钟）
完成时间为 3 小时
Introduction to Machine Learning with Big Data
7 个视频 （总计 45 分钟）, 7 个阅读材料, 1 个测验

周2
完成时间为 3 小时
Data Exploration
6 个视频 （总计 39 分钟）, 5 个阅读材料, 2 个测验
完成时间为 3 小时
Data Preparation
8 个视频 （总计 42 分钟）, 4 个阅读材料, 2 个测验

周3
完成时间为 4 小时
Classification
8 个视频 （总计 60 分钟）, 7 个阅读材料, 2 个测验

周4
完成时间为 3 小时
Evaluation of Machine Learning Models
7 个视频 （总计 42 分钟）, 7 个阅读材料, 2 个测验

周5
完成时间为 4 小时
Regression, Cluster Analysis, and Association Analysis