We are delighted to have Chris Simmons and Pedro Ferreira with us, and they're going to do a dry run of their ACCU conference talk on Machine Learning in Python.
And thanks to our sponsors JetBrains, there'll be a chance to win a single user licence for one of their products.
After the talk, we will be heading off to the Brewdog for a beer, so please do come and join us.
Synopsis:
This presentation is a case study taken from the travel and holiday industry. Paxport/Multicom, based in UK and Sweden, have recently adopted a recommendation system for holiday accommodation bookings. Machine learning techniques such as Collaborative Filtering have been applied using Python (3.5.1), with Jupyter (4.0.6) as the main framework.
Data scale and sparsity present significant challenges in the case study, and so the effectiveness of various techniques are described as well as the performance of Python-based libraries such as Python Data Analysis Library (Pandas), and Scikit-learn (built on NumPy, SciPy and matplotlib).
We will look at how a problem mainly based in analysis and data modeling can be alleviated by the notebook environment provided by Jupyter is also provided.
Bio - After graduating in software engineering Pedro’s interest in artificial intelligence led him to work in the video game industry for a year. That same interest has him now taking part of a Knowledge Transfer Partnership with Paxport(Multicom) and University of West of England working on a Machine Learning related problem.