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 Maryland or in NobleProg corporate training centers in Maryland.
NobleProg -- Your Local Training Provider
MD, Baltimore - Legg Mason Tower
100 International Drive 23rd Floor, Baltimore, united states, 21202
A state-of-the-art, 24-story glass skyscraper that sits on the edge of Baltimore's Inner Harbor is the signature home ...
A state-of-the-art, 24-story glass skyscraper that sits on the edge of Baltimore's Inner Harbor is the signature home of the Legg Mason office. It's located on the 23rd floor of this class-A office development, which is designed by world-renowned architects and boasts panoramic views. The office space benefits from the tower's ‘green' LEED credentials, proximity to Interstate 83 and excellent onsite amenities. Inner Harbor is the chief commercial and tourist destination in Baltimore and part of the Downtown area - the base for many key businesses.
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 Maryland, 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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