Distributed Machine Learning with Spark - University of California
Course
Online
Description
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Type
Course
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Methodology
Online
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Duration
4 Weeks
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Start date
Different dates available
Learn the underlying principles required to develop scalable machine learning pipelines and gain hands-on experience using Spark.With this course you earn while you learn, you gain recognized qualifications, job specific skills and knowledge and this helps you stand out in the job market.
Facilities
Location
Start date
Start date
About this course
Python programming background; experience with PySpark equivalent to CS105x: Introduction to Spark; comfort with mathematical and algorithmic reasoning; familiarity with basic machine learning concepts; exposure to algorithms, probability, linear algebra and calculus.
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More than 50 reviews in the last 12 months
This centre has featured on Emagister for 8 years
Subjects
- Spark
- Machine Learning
- Data analysis
- Statistics
Course programme
Distributed Machine Learning with Spark - University of California