AI Informatics Master UPSaclay
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First name (given name) *
Last name (family name) *
In machine learning, what could be more problematic: too much data or too little data? Justify your answer. *
What is cross-validation? *
What is overfitting? *
What is the difference between unsupervised learning and supervised learning? *
What is the difference between regression and classification? *
What is reinforcement learning? *
What is your favorite machine learning toolkit and why? *
Explain in your own words how to compute an error bar with the bootstrap method (see e.g. https://tinyurl.com/y4hx2zk8)? *
Have you participated in a data science or machine learning challenge or in a hackathon? If yes, describe your experience. *
Are you using Github (or another online Git deposit), if so give us the URL. *
REMEMBER TO PRINT YOUR ANSWERS AS PDF BEFORE YOU HIT THE SUBMIT BUTTON, then attach the PDF to your application. Thank you!
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