In many different web services, we hear about machine learning for recommendation systems that help users tackle information overload – … Continue reading “Neal Lathia: Bootstrapping a Destination Recommendation Engine”
Author: DataScienceFestival
Marios Michailidis: How to become a Kaggle #1: An introduction to model stacking
Ever wondered how Kaggle masters combine hundreds of different machine learning models to win modelling competitions? Ever wondered how to … Continue reading “Marios Michailidis: How to become a Kaggle #1: An introduction to model stacking”
The elements of a Data Science career
Panel discussion on how to successfully build a Data Science career, featuring Gianluca Campenella (Founder Estimand Consulting / Research Fellow … Continue reading “The elements of a Data Science career”
That fake news business – by Kaiser Fung
When Hillary Clinton unexpectedly lost the election in November 2016, it was high time for pundits to espouse their pet … Continue reading “That fake news business – by Kaiser Fung”
How to learn any data science technique
So you’ve downloaded Tensorflow and want to learn how to use it. Where do you start? Probably here: Whilst that’s … Continue reading “How to learn any data science technique”
Use Import.io + Tableau to Analyze Extracted Web Data
The web is an amazing source of data. It’s big, free, and constantly being updated. But data on the web … Continue reading “Use Import.io + Tableau to Analyze Extracted Web Data”
Sophie Sparkes: Telling stories with data: how do you do it and why is it important?
Summary: People don’t remember numbers, they remember stories. If you want to communicate your data-driven findings to an audience, and … Continue reading “Sophie Sparkes: Telling stories with data: how do you do it and why is it important?”
Ryan Moriarty: Using data to help create impossibly personalised storytelling.
Summary: At Lost My Name, we make impossibly personalised products for children using our unique blend of creative storytelling, design … Continue reading “Ryan Moriarty: Using data to help create impossibly personalised storytelling.”
Margriet Groenendijk: Your own weather forecast in a Python notebook
Have you ever wondered where the data in your weather app comes from? There is a lot of science behind … Continue reading “Margriet Groenendijk: Your own weather forecast in a Python notebook”
Phil Howard : Data Science for Game Analytics at King
Part of the Data Science for Game Analytics event. How do we apply Data Science to King’s portfolio of games? … Continue reading “Phil Howard : Data Science for Game Analytics at King”
Ansgar Wenzel: Challenges & Opportunities with Data Science in Insurance
Ansgar Wenzel: Challenges & Opportunities with Data Science in Insurance (Moving Actuaries into the 21st Century) Summary: Technology is changing … Continue reading “Ansgar Wenzel: Challenges & Opportunities with Data Science in Insurance”
Gavin Payne: How SQL Server works and how to make your queries faster.
Summary: This session is for data scientists and analytics developers who work with SQL Server as a data source and … Continue reading “Gavin Payne: How SQL Server works and how to make your queries faster.”
Oliver Frost: Data Science with SQL Server 2016 and R.
Summary: One of the most notable additions to the Microsoft BI stack is the addition of Microsoft R Server inside … Continue reading “Oliver Frost: Data Science with SQL Server 2016 and R.”
