The Hitchhiker’s Guide to A Kaggle Competition

Data: Roulette
Location: Oregon Ballroom 203
Average rating: ***..
(3.00, 3 ratings)

An introductory hands-on workshop, aimed at the Amateur Data Scientists among us, to the Heritage Health Prize competition. First, we will quickly look at the classes of algorithms & what they do through competition problems & datasets. Next we will dig deeper into one completion the Kaggle RTA Challenge(Ensemble/Random Forest). We will then dive into the Heritage Health Prize, work through the dataset & submit an entry!

Note: While there is not enough time for the participants to work through the different datasets, we will provide links to a hands-on tutorial which you’all can do after the workshop.

Outline:

  • Algorithms for the Amateur Data Scientist
    • A look at the broader algorithms leading to Trees & Random Forests
  • The Art of Analytics Competitions – The Kaggle challenges
  • Anatomy of a competition – How the RTA was won
    • Predicting traffic at RTA using Ensemble /Random Forest Trees
  • Competition in flight – The HHP
    • Dataset Organization
    • Analytics Walkthrough
    • Submit our entry
  • Conclusion
Photo of Krishna Sankar

Krishna Sankar

U.S.Bank

Krishna Sankar is a Distinguished Engineer − Artificial Intelligence & Machine Learning at U.S. Bank focusing on augmented intelligence, digital human as well as areas like AI explainability. Earlier stints include Senior Data Scientist with Volvo Cars, Chief Data Scientist at blackarrow.tv, Data Scientist/Tata America Intl, Director of Data Science/Bioinformatics startup & as a Distinguished Engineer/Cisco. He has been speaking at various conferences incl ML tutorials at Strata SJC & LONDON 2016, Spark Summit [goo.gl/ab30lD], Strata-Sparkcamp, OSCON, Pycon & Pydata, writes about Nash Equilibrium, Isaac Asimov and Robots Rules[goo.gl/5yyRv6 as well as has been guest lecturing at the Naval Postgraduate School. His occasional blogs can be found at https://medium.com/@ksankar
They include NeurIPS2018 — Conference Summary [https://goo.gl/VgeyDT], Deep Thinking by Garry Kasparov: The Education Of A Machine [https://goo.gl/9qv671] and Ask not if AlphaZero can beat humans in Go — Ask if AlphaZero can teach humans to be a Go champion [https://goo.gl/vPzN9B]. His other passions are semantic Go engines, flying Drones (working towards Drone Pilot License (FAA UAS Pilot) and Lego Robotics – you will find him at the Detroit FLL World Competition as Robots Design Judge

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Picture of Krishna Sankar
Krishna Sankar
07/27/2011 10:01am PDT
There was a question from today’s workshop about good books on algorithms. The best list I have seen are answers at Quora and one at Linkedin:
Picture of Krishna Sankar
Krishna Sankar
07/25/2011 8:59am PDT

I have downloaded a WIP snapshot at www.slideshare.net/ksankar/.... WOuld appreciate any comments. Beware – I have too many slides, it is intentional.