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. Poitiers onsite live F# trainings can be carried out locally on customer premises or in NobleProg corporate training centers.
NobleProg -- Your Local Training Provider
Poitiers
NobleProg Poitiers, 21 rue Gaston Hulin, Poitiers, france, 86000
Training courses can be organised at our premises in Poitiers, at your premises, or remotely.
Training courses are given in...
Training courses can be organised at our premises in Poitiers, at your premises, or remotely.
Training courses are given in English or French. We organise a coordination meeting with the trainer and the participants to adapt the training program to your expectations. The courses consist of interactive discussions, theoretical parts and practical exercises.
The training is available as "live on-site training" or "live remote training". Live on-site training can be conducted locally at the client's premises in Poitiers or at the NobleProg corporate training centers in Poitiers.
Remote e-learning is conducted using an interactive desktop computer. NobleProg is the publisher of the DaDesktop software, which is presented in a video at https://www.dadesktop.com/
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 Poitiers, 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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