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. Mandalay onsite live Wolfram trainings can be carried out locally on customer premises or in NobleProg corporate training centers.
NobleProg -- Your Local Training Provider
Mandalay Classroom
77th x 78th Street, MaHarAungMyay Township, Mandalay, mm, 11101
The Centre located within 2 km of Sri Ganesh Temple and 2.1 km of Ma Soe Yein Nu Kyaung Monastery, 2.3 km from Mahar Thatkyar...
The Centre located within 2 km of Sri Ganesh Temple and 2.1 km of Ma Soe Yein Nu Kyaung Monastery, 2.3 km from Mahar Thatkyarthiha Pagoda. Cultural Museum & Library is 2.4 km from the hotel and Mandalay University is 2.4 km away, Jade Market is 2.6 km from the accommodation. The nearest airport is Mandalay International Airport, 38 km from Gold Leaf Hotel. Please contact us by e-mail or phone at least one day earlier to make an appointment with one of our consultants at our corporate offices.
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 Mandalay (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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