Machine learning the F# way
Please log in to watch this conference skillscast.
Data science and machine learning are rapidly growing fields that focus on extracting insights from data. But what actually hides behind the buzz words? In this talk I'll use data science tools in F# to analyse live information from social media. You'll see how F# simplifies data processing tasks and seamlessly integrates different steps of the analysis, and you'll also learn about ideas behind interesting machine learning algorithms, including deep neural networks.
YOU MAY ALSO LIKE:
- Keynote: The Bottom of the Iceberg: Enabling Data Science Research with F# (SkillsCast recorded in April 2019)
- Functional Concurrency in .NET with C# and F# with Riccardo Terrell (Online Course on 8th - 11th March 2021)
- F# for a Real World E-commerce Project (SkillsCast recorded in October 2020)
- Rethinking Bioinformatic Algorithms Using F# (SkillsCast recorded in October 2020)
Thank you to our sponsors and partners
Platinum
Silver
Machine learning the F# way
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.