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Awesome GitHub RepositoriesOptimization Theory
Educational content on gradient descent and model training optimization.
Distinguishing note: Focuses on the learning process of models.
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- Avik-Jain/100-Days-Of-ML-Code
Avik-Jain/100-Days-Of-ML-Code
49,683View on GitHubThis project is a structured educational curriculum designed to guide developers through the fundamentals of machine learning. It functions as a technical skill builder, offering a curated roadmap of progressive coding challenges that cover core algorithms, statistical concepts, and essential data science libraries. The repository distinguishes itself through an iterative sequencing of content, organizing complex technical topics into a daily progression that facilitates incremental mastery. It integrates third-party academic lectures and educational resources to provide necessary theoretical
Explains gradient descent and how neural networks learn.
100-days-of-code-log100daysofcodedeep-learning
