Key Information
About the content
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
Syllabus
- Week 1 - Welcome
- Week 1 - Introduction to Machine Learning with Big Data
- Week 2 - Data Exploration
- Week 2 - Data Preparation
- Week 3 - Classification
- Week 4 - Evaluation of Machine Learning Models
- Week 5 - Regression, Cluster Analysis, and Association Analysis
Instructors
Mai Nguyen
Lead for Data Analytics
San Diego Supercomputer Center
Ilkay Altintas
Chief Data Science Officer
San Diego Supercomputer Center
Content Designer
Platform
Coursera is a digital company offering massive open online course founded by computer teachers Andrew Ng and Daphne Koller Stanford University, located in Mountain View, California.
Coursera works with top universities and organizations to make some of their courses available online, and offers courses in many subjects, including: physics, engineering, humanities, medicine, biology, social sciences, mathematics, business, computer science, digital marketing, data science, and other subjects.
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