Online or onsite, instructor-led live F# training courses cover various real-world applications for the F# language. Courses cover areas such as software testing, machine learning and reactive programming.
F# 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 F# training can be carried out locally on customer premises in Brugge or in NobleProg corporate training centers in Brugge.
NobleProg -- Your Local Training Provider
Bruges
NH Hotel Bruges, Boeveriestraat 2, Bruges, Belgium, 8000
Bruges became a central port, commercial and financial hub in medieval Europe, linking the countries of the North Sea and ...
Bruges became a central port, commercial and financial hub in medieval Europe, linking the countries of the North Sea and the Baltic to the Mediterranean. Wealthy merchants from Bruges traded with those from all over Europe. The first stock exchange in history was born in Bruges in the 13th century. In the 15th century it was the leading financial center in Europe. This economic boom also leads to a cultural and artistic flowering that has left an abundant heritage. It was the most important center for the Flemish primitive painters, who revolutionized Western painting. It has been a member of the Organization of World Heritage Cities since the year 2000. The city even has the distinction of appearing three times on the UNESCO World Heritage List. For its historic center, for its beguinage which is part of the Flemish Beguinages and for its belfry included among the Belfries of Belgium and France. In addition, it is also listed as Intangible Cultural Heritage of Humanity by UNESCO for its Procession of the Holy Blood.
Data science is the application of statistical analysis, machine learning, data visualization and programming for the purpose of understanding and interpreting real-world data. F# is a well suited programming language for data science as it combines efficient execution, REPL-scripting, powerful libraries and scalable data integration.
In this instructor-led, live training, participants will learn how to use F# to solve a series of real-world data science problems.
By the end of this training, participants will be able to:
Use F#'s integrated data science packages
Use F# to interoperate with other languages and platforms, including Excel, R, Matlab, and Python
Use the Deedle package to solve time series problems
Carry out advanced analysis with minimal lines of production-quality code
Understand how functional programming is a natural fit for scientific and big data computations
Access and visualize data with F#
Apply F# for machine learning
Explore solutions for problems in domains such as business intelligence and social gaming
Audience
Developers
Data scientists
Format of the course
Part lecture, part discussion, exercises and heavy hands-on practice
In this instructor-led, live training in Brugge, participants will learn functional programming as they step through the creation of a series of sample applications and utilities.
By the end of this training, participants will be able to:
Understand the principles of functional programming.
Write elegant, maintainable code for solving complex computing problems.
Use F# with Javascript and C# to create asynchronous web applications.
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