Join us for a deep dive into machine learning and data analysis of finish time prediction.
CEO Co-Founder of Backtick Technologies Oskar Handmark shares his learnings from analysing 50 000 runners from the world largest half marathon, Göteborgsvarvet. An exciting & educational session in machine learning and data analysis with insights and trends for different age groups and genders, including pace and hubris analysis!
Ultimately, the talk showcases how machine learning can be used to predict half marathon runner’s finish times at different stages of the race, and gives tips on how you can become a better runner by comparing your own data point to the masses.
Speaker:
Oskar Handmark, Data Engineering & ML, Computer Science, LTH, Sweden.
Founder of Codecation (codecation.se)
CEO & Co-founder of Backtick Technologies (backtick.ai)
Backtick Technologies
Helps startups on their AI journey. Backtick provides services in machine learning, data analysis, data engineering, cloud services and data science pipelines.
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