Apache Spark MLlib Training Courses

Apache Spark MLlib Training Courses

Local, instructor-led live Apache Spark MLlib training courses demonstrate through interactive discussion and hands-on practice the fundamentals and advanced topics of Apache Spark MLlib.

Apache Spark MLlib training is available as "onsite live training" or "remote live training". Onsite live Apache Spark MLlib training can be carried out locally on customer premises in Canada or in NobleProg corporate training centers in Canada. Remote live training is carried out by way of an interactive, remote desktop.

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Spark MLlib Course Outlines

Course Name
Duration
Overview
Course Name
Duration
Overview
21 hours
Overview
This course is aimed at developers and data scientists who wish to understand and implement AI within their applications. Special focus is given to Data Analysis, Distributed AI and NLP.
35 hours
Overview
MLlib is Spark’s machine learning (ML) library. Its goal is to make practical machine learning scalable and easy. It consists of common learning algorithms and utilities, including classification, regression, clustering, collaborative filtering, dimensionality reduction, as well as lower-level optimization primitives and higher-level pipeline APIs.

It divides into two packages:

-

spark.mllib contains the original API built on top of RDDs.

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spark.ml provides higher-level API built on top of DataFrames for constructing ML pipelines.

Audience

This course is directed at engineers and developers seeking to utilize a built in Machine Library for Apache Spark

Upcoming Apache Spark MLlib Courses

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