GreenGilad/IML.HUJI
GitHub repository of the Introduction to Machine Learning course in the Hebrew University of Jerusalem. Includes code examples, labs, and exercise templates
This resource provides a comprehensive learning path into machine and statistical learning. It combines a detailed course book with practical code examples, guided labs, and exercise templates for building machine learning software. It's designed for undergraduate computer science students and aspiring machine learning experts who want to understand both the theory and practical application of these models.
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Use this if you are a computer science student or aspiring machine learning expert looking for a structured approach to learn machine learning, integrating theory with hands-on coding practice.
Not ideal if you are looking for a plug-and-play machine learning tool or an advanced resource without foundational mathematical prerequisites.
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50
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527
Language
Jupyter Notebook
License
MIT
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Last pushed
Jan 24, 2025
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