Overwatch strategies revealed with data science

Ram de Guzman presented this analysis of Overwatch team strategies using scraped data from Winston’s Lab (which gathers it directly from game videos). His insight revealed how the best teams in South Korea arranged their teams and fought.

In the video he describes the process of gathering his data, then shows in impressive visualisations how that data relates to actual game strategy.

Watch his talk at our 6th unhackathon in March here:

 

And you can follow his project here.

Data science news round up

Our tight-knit community of data scientist have shared a wealth of news and inspiring projects from around the web over the past couple of months. Here is a brief round up of the more interesting articles, and remember, you can join in on our slack group.

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Millions of Chinese farmers reap benefits of huge crop experiment

An article that demonstrates the world changing potential of evidence based approaches to the world’s problems. For me, it’s also a reminder that it’s often not the latest buzzword or most glamourous topics that have the most impact.

Winning with Data Science

Next is an article examining the business and organisational side of data science. This is a topic that probably doesn’t get enough attention compared to the latest and coolest algorithm. It’s important for data scientists to take an interest in how organisations should adapt, if they don’t it will probably be decided by someone not qualified to make the decision!

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What Comes After Deep Learning?

This article examines whether deep learning is actually a blind alley and considers what new approaches might be next for data science. Also a brief examination of the question of US vs China in the AI “arms race”.

‘Who’s Leading AI’ Isn’t the Intelligent Question

Our final article explores the much talked about question of whether the US or China is winning and why it’s not the right question to ask.

If you found any of these articles interesting then do come and join the discussion on our Slack group, where you will also find details of meetups. https://datasciencehk.slack.com/

Women in data science – WiDS 2018

The Stanford Women in Data Science conference 2018  is starting on March 6th at 1am Hong-Kong time

Live Broadcast

We encourage everyone to follow the broadcast here 

You can tweet using the hashtag #WiDS2018Q

Program

The program can be found here, we reproduce it here for convenience in HK time zone

1:00-1:10am: Opening Remarks: Margot Gerritsen, Senior Associate Dean and Director of ICME, Stanford University
1:10-1:30am: Welcome Address: Maria Klawe, President, Harvey Mudd College
1:30-2:05am: Keynote Address: Leda Braga, CEO, Systematica Investments
2:05-2:10am Regional Event Check-in
2:10-2:50am: Technical Vision Talks:
     2:10-2:30am Mala Anand, EVP, President, SAP Leonardo Data Analytics
     2:30-2:50am Lada Adamic, Research Scientist Manager, Facebook
2:50-3:10am: Morning break
3:10-3:15am: WiDS Datathon Winners Announced
3:15-3:55am: Technical Vision Talks:
     3:15-3:35am: Nathalie Henry Riche, Researcher, Microsoft Research
     3:35-3:55am: Daniela Witten, Associate Professor of Statistics and Biostatistics, University of Washington
3:55am-4:30am: Keynote Address: Latanya Sweeney, Professor of Government and Technology in Residence, Harvard University
4:30-6:00am:  Lunch and Breakouts (NO LIVESTREAM)
6:00-6:35am: Keynote Address: Jia Li, Head of Cloud R&D, Cloud AI, Google
6:35-7:15am Technical Vision Talks:
     6:35-6:55am: Bhavani Thuraisingham,
Professor of Computer Science and Executive
Director of Cyber Research and Education Institute, University of Texas at Dallas
     6:55-7:15am: Elena Grewal, Head of Data Science, Airbnb
7:15-7:30am  Afternoon break 

7:30-7:35am Regional event check-in
7:35-8:15am Career Panel moderated by Margot Gerritsen
Bhavani Thuraisingham 
 Professor of Computer Science and Executive
Director of Cyber Research and Education Institute, University of Texas at Dallas
     Ziya Ma,  Vice President of Software and Services Group and Director of Big Data Technologies, Intel Corporation
     Elena Grewal Head of Data Science, Airbnb
     Jennifer Prendki, Head of Data Science, Atlassian
8:15-8:55am: Technical Vision Talks
     8:15-8:35am: Risa Wechsler, Associate Professor of Physics, Stanford University
     8:35-8:55am: Dawn Woodard, Senior Data Science Manager of Maps, Uber
8:55-9:00am: Closing Remarks