Local, instructorled live Apache Spark MLlib training courses demonstrate through interactive discussion and handson 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 training can be carried out locally on customer premises in Japan or in NobleProg corporate training centers in Japan Remote live training is carried out by way of an interactive, remote desktop

NobleProg Your Local Training Provider.

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Testimonials

★★★★★

This is one of the best hands-on with exercises programming courses I have ever taken.

Laura Kahn

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

Richard is very calm and methodical, with an analytic insight - exactly the qualities needed to present this sort of course.

Kieran Mac Kenna

Course: Spark for Developers

We know a lot more about the whole environment.

John Kidd

Course: Spark for Developers

The trainer made the class interesting and entertaining which helps quite a bit with all day training.

Ryan Speelman

Course: Spark for Developers

I think the trainer had an excellent style of combining humor and real life stories to make the subjects at hand very approachable. I would highly recommend this professor in the future.

Course: Spark for Developers

Ernesto did a great job explaining the high level concepts of using Spark and its various modules.

Michael Nemerouf

Course: Spark for Developers

Richard was very willing to digress when we wanted to ask semi-related questions about things not on the syllabus. Explanations were clear and he was up front about caveats in any advice he gave us.

ARM Limited

Course: Spark for Developers

The VM I liked very much The Teacher was very knowledgeable regarding the topic as well as other topics, he was very nice and friendly I liked the facility in Dubai.

Safar Alqahtani - Elm Information Security

Course: Big Data Analytics in Health

Small group (4 trainees) and we could progress together. Also the trainer could so help everybody.

ICE International Copyright Enterprise Germany GmbH

Course: Spark for Developers

Ajay was very friendly, helpful and also knowledgable about the topic he was discussing.

Biniam Guulay - ICE International Copyright Enterprise Germany GmbH

Course: Spark for Developers

The lab exercises. Applying the theory from the first day in subsequent days.

Dell

Course: A Practical Introduction to Stream Processing

The trainer was passionate and well-known what he said I appreciate his help and answers all our questions and suggested cases.

Course: A Practical Introduction to Stream Processing

Applicable scenarios and cases

zhaopeng liu - Fmr

Course: Spark for Developers

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case analysis

国栋张

Course: Spark for Developers

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all parts of this session

Eric Han - Fmr

Course: Spark for Developers

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I liked the methodology expected by Jorge

Experian Colombia S.A

Course: Spark for Developers

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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

I think the trainer had an excellent style of combining humor and real life stories to make the subjects at hand very approachable. I would highly recommend this professor in the future.

Course: Spark for Developers

The trainer was passionate and well-known what he said I appreciate his help and answers all our questions and suggested cases.

Course: A Practical Introduction to Stream Processing

Apache Spark MLlib Course Outlines in Japan

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:

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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 regions in Japan

Tokyo Osaka Yokohama Nagoya

Other countries

These courses are also available in other countries ››

Consulting in Japan

Apache Spark MLlib Consulting

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