- From www.edx.org
Scalable Machine Learning
- 5 Sequences
- Introductive Level
- Starts on June 28, 2015
Course details
Syllabus
- The underlying statistical and algorithmic principles required to develop scalable real-world machine learning pipelines
- Exploratory data analysis, feature extraction, supervised learning, and model evaluation
- Application of these principles using Apache Spark
- How to implement scalable algorithms for fundamental statistical models
Prerequisite
Instructors
- Ameet Talwalkar
Platform
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