<aside> 📢 This phase is different from books that are available on the internet. I included all the topics required to understand the whole architecture of Machine Learning algorithms.

Examples on how and where these mathematical equations are used, and Interview Questions can be asked to a ML Engineer while hiring.

We will learn different concepts individually, converting mathematical equations into python programming expressions along with there examples in the real world.

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You need a Mathematics Degree, Right? Wrong!

Machine Learning is a skill now, you can learn it without a degree.

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Focus on the applications and how to implement them in Python in the form of short functions.

FREE Resources

Mathematics for AI

Mathematics for Machine Learning

Mathematics for Machine Learning

Algebra, Topology, Differential Calculus, and Optimization Theory For Computer Science and Machine Learning