Kaggle is a global community of data scientists founded in 2010 in Australia that hosts data science competitions to help solve data problems. It has grown significantly, with over 140,000 data scientists participating by 2014. Kaggle competitions offer the opportunity to gain knowledge and skills through open practice competitions, while other competitions offer cash prizes and potential job opportunities by partnering with companies like Facebook, Yelp, and Walmart on predictive modeling challenges using their real-world data.

1. Kaggle – the global community
of Data Science professionals
Anastasiia Kornilova

2. Who am I?

3. - MS in Applied Mathematics,
- 3 years as a Data Scientist

5. What is Data Science?

6. Scientific
Method
Math
Statistics
Data
Engineering
Domain
Expertise
Advanced
Visualization Computing
Hacker
Mindset
What
matters?

8. What is Kaggle?

9. 2010 - founded in Melbourne, Australia
by Antony Goldbloom

10. What problem they solve?
Data problems
Data solvers

13. In fact, a McKinsey Global Institute report
estimates that by 2018, “the United States
alone could face a shortage of 140,000 to
190,000 people with deep analytical skills as
well as 1.5 million managers and analysts
with the know-how to use the analysis of
big data to make effective decisions.”
!
!
!

14. Between 2010 and 2020, the data
scientist career path is projected to
increase by 18.7 percent, beat only by
video game designers. The big data
industry is expected to be a 53.4 billion
industry by 2016.

15. Anyone with "data science" in his or
her job title on a LinkedIn page is
going to get "100 recruiter emails a
day," said Josh Sullivan, who leads a
500-person data-science group at the
consulting firm Booz Allen Hamilton
Holding

16. Are you good enough?

17. First Competition:
Forecast Eurovision Song Contest Voting
!
!
- 1000 dollars prize
- 22 teams
Outperformed prediction markets:
predict 7 countries from Top10, prediction markets
only 5.

18. Short story of success
- 2011 - relocated to San Francisco
- November, 2011 - raise 11M dollars fundings
- July, 2013 - 100,000 data scientists involved
- February, 2014 - more than 140,000 data
scientists

20. How you can use Kaggle?

21. Rewarding types
- Knowledge
- Money
- Job interview

22. Competitions for knowledge
(always open)
!
- Digit recognizer, CIFAR-10, First steps with Julia
- Titanic: Machine Learning for Disaster
- Bike Sharing Demand
- Learning Social Circles in Networks

23. Competitions with prize:
Open:
- American Epilepsy Society Seizure Prediction
Challenge: 25, 000 prize
- Africa Soil Property Prediction Challenge: 8,000 prize
- Tradeshift Text Classification: 5,000 prize

24. Completed competitions (170+)
- Heritage Health Price: 500,000
- GE Flight Quest: 250,000
- GE Hospital Quest: 100,000
- Higgs Boson ML Challenge: 13,000 + invitation to
CERN
- Galaxy Zoo: 16,000
- KDD Author Paper Identification Challenge
- Job Recommendation Challenge

25. Job competitions (completed):
Facebook:
- recommend missing links in social graph (who to follow)
- optimal graph path
- predict text tags
Yelp:
- estimate the number of useful votes a review will receive
Wallmart:
- predict store sales
+ Job Board

26. How to win?

27. Dig into the data

29. Stay on track

30. !
Kaggle competition == Data science?

31. 1. Understand
2. Collect
3. Data exploration
4. Clean and
transform
6. Validate
5. Model
7. Communicating
results
Deploy

32. ?