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Machine Learning, from the ground up.

A study companion covering theory, hands-on practice, code, and the principles behind modern ML.

ML Theory

Dive into the fundamental concepts and mathematical foundations of machine learning.

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ML Practice

Get hands-on experience with practical exercises and real-world projects.

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Code Examples

Explore ready-to-use code snippets and implementations.

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Best Practices

Learn industry standards and guidelines for ML development.

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Contact

Have questions or suggestions? Get in touch!

liv.helen.vage@cern.ch