A-Ahmed-I/ML-Math
Essential ML math concepts and code.
This resource provides clear explanations and code examples for the core mathematical ideas behind machine learning. It takes complex concepts from linear algebra, calculus, and statistics, breaking them down so you can understand how they power different algorithms. It's ideal for anyone looking to deepen their grasp of the fundamental math underpinning AI and data science.
No commits in the last 6 months.
Use this if you are a data scientist, machine learning engineer, or student who wants to understand the mathematical 'why' behind the algorithms you use or are learning.
Not ideal if you are looking for a pre-built machine learning model or a high-level library to apply without understanding its inner workings.
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Language
Python
License
MIT
Category
Last pushed
Jul 13, 2024
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