Online or onsite, instructor-led live Wolfram training courses show participants how to program in Wolfram through interactive hands-on practice.
Wolfram 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 Wolfram training can be carried out locally on customer premises in Antwerp or in NobleProg corporate training centers in Antwerp.
NobleProg -- Your Local Training Provider
Antwerp
Hotel NH Collection Antwerp Centre, Pelikaanstraat 84, 2018 Antwerpen, Belgium, Antwerp, Belgium, 2018
The hotel has a conference capacity for up to 110 attendees, with 6 dedicated, flexible spaces available. A range of smaller...
The hotel has a conference capacity for up to 110 attendees, with 6 dedicated, flexible spaces available. A range of smaller boardrooms and a larger conference room is available for large and small meetings. The facilities include up-to-date audio-visual equipment, with refreshments available to order and an events planner on site for assistance. Unusually for a city center hotel, the hotel offers parking in its own garage.
The Wolfram System's integrated environment makes it an efficient tool for both analyzing and presenting data. This course covers aspects of the Wolfram Language relevant to analytics, including statistical computation, visualization, data import and export and automatic generation of reports.
The "Mathematica - wprowadzenie, wizualizacja i prezentacja danych" training is aimed at participants with basic mathematical knowledge. Mathematica, as a powerful mathematical engine, enables effective calculations, creating text documents, building charts and presenting data. Participants will gain practical skills in working with Mathematica, used, among others, in mathematics, physics, biology, financial analysis and other fields.
This instructor-led, live training in Antwerp (online or onsite) is aimed at data scientists who wish to use machine learning in Mathematica for data analysis.
By the end of this training, participants will be able to:
Build and train machine learning models.
Import and prepare data for machine learning.
Separate training data from test data.
Explore deep learning and neural network applications in data analysis.
Introduces the core technologies needed to become an adept user of Mathematica, including the Wolfram Language, the notebook interface, programming fundamentals, visualization and interactivity features, and mathematics and statistics functionality. Small class sizes allow for interaction with the instructor, and in-person courses allow additional time for discussion, exercises, and Q&A.
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