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. Milan onsite live Apache Spark MLlib trainings can be carried out locally on customer premises or in NobleProg corporate training centers.
NobleProg -- Your Local Training Provider
Milan
NobleProg Milan, Via Scarlatti 4, Milan, italy, 20124
The meeting center is close to central part of the city and near the central station. It is easy to rech the place with the underground. In that neighbourhood there are many shops and restaurants.
This course is intended for developers and data scientists who want to understand and implement artificial intelligence in their applications. Special focus is placed on data analytics, distributed AI, and natural language processing.
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
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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
Rafal - 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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