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ML: Formula 1 Data Analysis

ML: Formula 1 Data Analysis. COM4250 Darwin Project Iacob -Sebastian Cozianu. The reason for my choice. I’ve been a lifelong fan of motorsports in general and Ferrari as a car manufacturer and a team in particular.

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ML: Formula 1 Data Analysis

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  1. ML: Formula 1 Data Analysis COM4250 Darwin Project Iacob-Sebastian Cozianu

  2. The reason for my choice I’ve been a lifelong fan of motorsports in general and Ferrari as a car manufacturer and a team in particular. I find the idea of using Machine Learning to improve car performance of utmost importance. By doing my dissertation on Video Fingerprinting, I have come to appreciate the uses of data analysis in a whole range of tasks.

  3. Background literature • A testimonial by the Toyota Racing Development team on using Matlab for analysing race data. • A brief on Data Analysis and its uses in motorsport and engineering education.

  4. The research question Given the very competitive nature of motorsports in general, the number of highly skilled drivers and the ever increasing quality of engineering that goes into race cars, there is a need to find a way to continuously improve performance by even the smallest of margins. Applying machine learning algorithms to the data provided by a race car can and should have impact on race strategies and further development.

  5. How would you solve it • Due to the understandably low number of available papers on the subject, it is unclear what is and what isn’t currently done in the field. • Predictions on how the car would behave should be made using Machine Learning techniques. • The results should be communicable to race teams in the most efficient way possible in order to ensure maximum results.

  6. Ideal team Common traits: • Interest in Artificial Intelligence and Machine Learning. • More than willing to devote time and effort for this project and the ultimate goal of improving car performance using ML. • Good programming skills. Extra assets: • Participation in this year’s Machine Learning course would help the team (as I am not enrolled in it).

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