Category: Machine Learning

Training future Data Scientists - Part 5: To lead, embrace conflict

Keep your nose out the sky, keep your heart to God And keep your face to the risin' sun - Kanye West, Family Business In the previous posts I have covered a number of items, the last being particularly focused on growth.

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Training future Data Scientists - Part 4: Growth - it's a process

Sun don't shine in the shade - Kanye West, Waves Growth is not only for the students, but for the program itself and all those involved. In 2017, growth was definitely on the cards for all involved. It was a

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Training future Data Scientists - Part 3: Breaking down the process

Nothing's ever promised tomorrow today, But we'll a find a way - Kanye West, Heard 'Em Say In this post I want to break down how we tackle the challenges that are chosen for the DSIDE program. As such lets

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Training future Data Scientists - Part 1: What's in a DSIDE season?

Our work is never over - Kanye West, Stronger We just finished another season of the Data Science for Insight and Decision Enablement (DSIDE). DSIDE is a Data Science training program that recruits 50 undergraduates (3rd & 4th years) and

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SOCML: Self-Organizing Conference on Machine Learning 2017

I was invited to the Self-Organizing Conference on Machine Learning (SOCML) and attended at the end of November 2017. As per the name, the conference did not have a preset schedule but the participants themselves would put together the agenda on

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