Machine Learning

Welcome to the cutting edge of computer programming. A great place to start? Our Machine Learning Crash Course (MLCC). Once you have the basics down, ramp up your skills by applying ML techniques to big datasets in real-world competitions. Other paths take you further into data science, and innovative ML approaches like deep learning and neural networks.

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Explore Data Science

Want to learn some best practices for ML engineering? How about 43 of them? Google Research Scientist Martin Zinkevich sums up advice for developers in this article. Prerequisite: basic knowledge of ML.

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