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nibble.ai weekly - Issue #2

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Hi! This week we've got a mix of learning and doing. We'd love to hear your feedback on this issue, f
 

nibble dispatch

February 12 · Issue #2 · View online
Curated essays about the future of Data Science. Production Data Science and learning resources for continuous learning. Covers Data Science, Data Engineering, MLOps & DataOps. Curated by people at https://nibble.ai/

Hi! This week we’ve got a mix of learning and doing. We’d love to hear your feedback on this issue, feel free to share with us.

Learning
Machine Learning for Everyone: In simple words.
A Complete Guide to K-Nearest-Neighbors with Applications in Python and R
Docker — from the beginning, Part I
Introduction to Probability and Statistics | MIT OpenCourseWare
Doing
Kaggle launched 2 new competitions, mostly for Kaggle swag (e.g. no prize money), that’s still a perfect opportunity for training your skills.
TMDB Box Office Prediction | Kaggle
Don't Overfit! II | Kaggle
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