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

06.02.2022 - By Adventures in Machine Learning

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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

Sponsors

Top End Devs
Coaching | Top End Devs

Links

MLlib | Apache Spark
What is PySpark? | Domino Data Science Dictionary
UCI Machine Learning Repository

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