The F#orce Awakens
Please log in to watch this conference skillscast.
Let's dive together into the the world of Star Wars! This talk will use the force of F# to process publicly available datasets relating to the Star Wars movies to find out who's the most important character in the stories and why were the prequels so unsuccessful. On the way, you'll see why F# is a great language for data science - from preprocessing the data to visualizing them - and you'll also learn how you can use similar data processing pipelines to get interesting insights from your own data.
The Call for Papers is now open for F# eXchange 2017! Submit your talk for the chance to join a stellar line-up of experts on stage. Find out more.
Get your tickets for F# eXchange 2017!
YOU MAY ALSO LIKE:
- Keynote: The Bottom of the Iceberg: Enabling Data Science Research with F# (SkillsCast recorded in April 2019)
- Modern Application Development with C# and .NET Core (in London on 16th - 19th December 2019)
- F# eXchange 2020 (in London on 2nd - 3rd April 2020)
- ProgNET London 2020 (in London on 16th - 18th September 2020)
- PowerBI The Must-Know Speed Up Tricks (in London on 17th October 2019)
- Security in the Age of Big Data (Data Anonymisation & Encryption) (in London on 21st October 2019)
- Automating Elaborate-Transform-Load for Busy Data Scientists (SkillsCast recorded in October 2019)
- Apache Druid: the fast, real-time, open-source analytics data store (SkillsCast recorded in September 2019)
Thanks to our sponsors
The F#orce Awakens
Evelina Gabasova
Evelina is a Senior Research Data Scientist at The Alan Turing Institute, the UK's national centre for data science and artificial intelligence. She is passionate about making data science understandable and accessible to everyone. She originally started as a programmer but got interested in machine learning early on and did a mathematics PhD at the University of Cambridge. During her PhD, she worked on Bayesian models for unsupervised learning that integrate heterogeneous biomedical datasets. After that, she worked in cancer research at the MRC Cancer unit in Cambridge, where she focused on helping biologists analyse genomic data.