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Author: DataScienceFestival

33:08

Dean Morin: One by one is no fun, lessons learned writing Kafka ETL jobs.

Posted by DataScienceFestival

Tom Ewing : The Data Science journey in DfT.

Tom Ewing is Principal Data Scientist for DfT. He has 20 years’ experience in government in a variety of data, … Continue reading “Tom Ewing : The Data Science journey in DfT.”

  Website
  May 22, 2017
9:52

Ruth Garcia: Modern Advertising, assessing the quality of Ads beyond only clicks

Posted by DataScienceFestival

Gianluca Campenella: From PhD to life, using science to get a job in data.

Demand for quantitative research skills is at an all-time high, while at the same time academic careers are becoming less … Continue reading “Gianluca Campenella: From PhD to life, using science to get a job in data.”

  Website
  May 22, 2017

Data Science Festival – Mainstage Day, April 29th 2017

The Data Science Festival is a free, week long, annual, celebration of all things data science. The festival consists of … Continue reading “Data Science Festival – Mainstage Day, April 29th 2017”

  Website
  May 12, 2017

Neal Lathia: Bootstrapping a Destination Recommendation Engine

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”

  Website
  May 12, 2017

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”

  Website
  May 12, 2017

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”

  Website
  May 12, 2017

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”

  Website
  May 10, 2017

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”

  Website
  Apr 27, 2017

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”

  Website
  Mar 27, 2017

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?”

  Website
  Mar 24, 2017

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.”

  Website
  Mar 24, 2017

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”

  Website
  Feb 27, 2017

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