東京のMathematicaトレーニング

Mathematica consists of 20 years of creating the most powerful specialized mathematical software engine in the world.    Its versatility makes it useful not only for doing basic academic calculations but also completing complicated calculations, like programming or numerical data presentations.  Mathematica integrates software engines doing numerical and symbolic computation, as well as graph analysis software, programming language, document formats and the possibility of publishing your work results.  Thanks to multiplicity of its functions it’s a priceless tool for mathematicians, physicists, biologists, chemists, financial analysts, sociologists and many more professions that deal with data. Participants will gain skills to

• perform calculations efficiently
• understanding program commands
• creating text documents
• building charts and graphs
• data presentations

Mathematica is a modern computing system for data analytics. Mathematica offers built in machine learning capabilities for data analysis. This instructor-led, live training (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.

Format of the Course

• Interactive lecture and discussion.
• Lots of exercises and practice.
• Hands-on implementation in a live-lab environment.

Course Customization Options

• To request a customized training for this course, please contact us to arrange.

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.