Online or onsite, 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 "online live training" or "onsite live training". Online live training (aka "remote live training") is carried out by way of an interactive, remote desktop. Onsite live Apache Spark MLlib trainings in Hamburg can be carried out locally on customer premises or in NobleProg corporate training centers.
Our training facilities are located in the Betahaus at Eifflerstraße 43 in Hamburg. E...
Overview
Our training facilities are located in the Betahaus at Eifflerstraße 43 in Hamburg. Easily accessible and centrally located in the Hanseatic city steeped in tradition, this is the ideal location for our participants.
Arrival
The NobleProg training facilities are located in the middle of the Schanzenviertel. The nearest bus stops are "Schulterblatt" for Metrobus line 15 and "Sternbrücke" for Metrobus line 3. The nearest S-Bahn and U-Bahn stations are Sternschanze.
Parking
In the area along the Eifflerstrasse and the nearby side streets, cars can be parked, even if you have to search for a moment. There is no charge for parking..
Local Services
The Schanzenviertel offers a wide range of gastronomic options and with Pyjama Park, Hotel Boston and other small and medium-sized hotels, local accommodation is also possible.
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.
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
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.
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Testimonials (2)
A lot of practical examples, different ways to approach the same problem, and sometimes not so obvious tricks how to improve the current solution
Rafał - Nordea
Course - Apache Spark MLlib
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
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