An Introduction to Machine Learning using Functional Programming Principles

Machine learning is gaining momentum with the increase of necessity to understand data much more efficiently, to predict better for competitive profit and research. In this talk, we'll run over various machine learning algorithms available in the Accord.NET - a framework for machine learning and scientific computing in .NET. We'll also have a look at sample tasks to see how we can apply machine learning algorithms using Accord.NET framework with F# functional approach.

Speaker Profile

Jeremiah Jeschke is the Founder & CEO of officeAutomata, which works with BPO's to reduce errors & lower costs through AI-based automation. He has designed the software from the ground-up and utilizes AI techniques in 7 different areas of the program. Prior to founding officeAutomata, Jeremiah worked for the US Air Force in R&D for Satellite systems, Special Ops and the B2 Bomber. He has since become a nomad & been travelling for 4 1/2 years.

Agenda

6:00pm - Networking
6:30pm - Presentation
7:00pm - Hands-on workshop
8:30pm - Wrapped Up

What to bring

Participants are expected to bring their own laptops with F# installed. Refer the below links for installation instructions

http://fsharp.org/use/windows/
http://fsharp.org/use/linux/
http://fsharp.org/use/mac/

If you have any problems with installation, drop a message