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 Hong Kong or in NobleProg corporate training centers in Hong Kong. Remote live training is carried out by way of an interactive, remote desktop.

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Course: Artificial Intelligence - the most applied stuff - Data Analysis + Distributed AI + NLP

This is one of the best quality online training I have ever taken in my 13 year career. Keep up the great work!.

Course: Artificial Intelligence - the most applied stuff - Data Analysis + Distributed AI + NLP

Apache Spark MLlib Course Outlines in Hong Kong

Course Name

Duration

Overview

Course Name

Duration

Overview

Artificial Intelligence - the most applied stuff - Data Analysis + Distributed AI + NLP

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.

Apache Spark MLlib

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

Other countries

These courses are also available in other countries ››

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