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 Frankfurt can be carried out locally on customer premises or in NobleProg corporate training centers.
NobleProg -- Your Local Training Provider
Frankfurt am Main
NobleProg Frankfurt, Domstraße 5, Frankfurt am Main, germany, 60528
Overview
Our training facilities are located at Domstrasse 5 in Frankfurt am Main. Located in t...
Overview
Our training facilities are located at Domstrasse 5 in Frankfurt am Main. Located in the old town of the Main metropolis, our premises offer enough space for successful training courses in the heart of the city, within walking distance of the Dom/Römer underground station.
Arrival
The NobleProg training facilities are located in the heart of Frankfurt's Old Town, near the Imperial Cathedral. With the Dom/Römer subway station, there is a central subway stop in the immediate vicinity.
Parking
Parking is allowed in the vicinity of our training rooms, even if the search for a parking space can be a bit more time-consuming depending on the date. Next door there is also the Dom/Römer multi-storey car park.
Local Services
Not far from the cathedral, in the direction of downtown Frankfurt, there are numerous restaurants and bars and within a 5 minute radius there are several hotels.
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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