F# via Machine Learning
A SkillsCast for this session is not available.
In this workshop, we'll implement a machine learning algorithm for automatically detecting the language of text, using pages downloaded from Wikipedia (using an F# web crawler) as a training data set. Along the way you'll learn about machine learning concepts, the F# language and the functional approach to data processing.
What you can expect to learn:
- How to use F# to implement machine learning algorithms
- Writing simple code using functional style
- The core ideas behind artificial neural networks
No prior machine learning or F# knowledge is needed.
YOU MAY ALSO LIKE:
F# via Machine Learning
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.