Podknife - Apache Spark (Pt. 2): MLlib - ML 074 by Adventures in Machine Learning

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Apache Spark (Pt. 2): MLlib - ML 074

Podcast |: Adventures in Machine Learning
Publisher |: Top End Devs
Media Type |: audio
Podknife tags |: Artificial Intelligence,; Business,; Careers,; Interview,; Machine Learning,; Technology
Categories Via RSS |: Business,; Careers,; Education,; How To,; Technology
Publication Date |: Jun 02, 2022
Episode Duration |: 00:52:29

MLlib is Apache Spark's scalable machine learning library. Today, Ben and Michael discuss the ease of use, performance, algorithms, and utilities included in this library and how to execute the best ML workflow with MLlib.

In this episode...

Why stick with Spark libraries vs. a single node operation?
What algorithms are not in Spark Lib?
What is the min. package set to use for supervised learning?
Modeling and validation
Down-sampling your data
MLlib vs. scikit-learn
Resources

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