This talk will introduce k-nearest neighbours, describe its performance characteristics, and discuss some tricks to speed it up on differentkinds of data -- and how to apply them in a production setting.
YOU MAY ALSO LIKE:
- Modern Application Development with C# and .NET Core (in London on 1st - 4th April 2019)
- Python for Programmers (in London on 24th - 26th June 2019)
Scaling up k-nearest neighbours classification
Andrew is Director of Learner Analytics & Data Science at Pearson, where he applies machine learning, statistical analysis and data visualization techniques to the challenges of 21st century education.