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ML: Formula1 Data Analysis. Balasa Adelina. Overview. Why I want this project Why I am suitable for this project Background Research What the project implies and how to approach it Ideal Team Summary. Why I picked this project. Affinity for Machine Learning
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ML: Formula1 Data Analysis Balasa Adelina
Overview • Why I want this project • Why I am suitable for this project • Background Research • What the project implies and how to approach it • Ideal Team • Summary
Why I picked this project • Affinity for Machine Learning • Genuine interest for research • Enthusiastic about understanding how things work • Preference to understand and improve rather than develop
Why I am suitable for this project • Artificial Intelligence • Machine Learning • Previous experience with data analysis • Very good mathematical basis • Very good programming skills • Excellent communication skills
Background Research • Formula1 Racing is an IT driven industry • 20 races per year • The focus is on improving the systems • During the race: one way data communication – from car to pits, but not from pits to car • Formula1 racing has been going on for over 50 years, way ahead of IT • Along with the technological evolution came the demand for F1 improvement References: http://www.bbc.co.uk/news/technology-19623281 http://www.pistonheads.com/gassing/topic.asp?t=1002985
What the project implies and how to approach it • Analyzing the gathered data • Create simulation strategies • Observe data and make predictions • Apply data analysis approaches • Use ML techniques • Compare estimates with statistics • Communicate and display the algorithms/results in a friendly and efficient way for other non-computer scientists to understand
Ideal team • Similar aptitudes • Interest in AI & ML • Hard working • Good mathematical & programming skills • Complementary aptitudes • Interest in Formula1 • Previous experience with Python
Summary • I chose this project because it is something I am genuinely interested in • I have both the skills and the motivation to carry it through • The ideal team to work with would be made of people who are like me in some respects, and complementary in others.