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There's one specific role that builds a bridge between data science and its practical counterpart, machine learning. Meet the ...

Data is one of the main factors determining whether machine learning projects will succeed or fail. That's why it is necessary to ...

Part of the End-to-End Machine Learning School course library at http://e2eml.school See these concepts used in an End to End ...

In this video, Antonio Alonso-Stepanov, an NCSSM Online AI teaching assistant, explains the three types of machine learning: ...

to get started with AI engineering, check out this Scrimba course: ...

Follow me on M E D I U M: https://towardsdatascience.com/likelihood-probability-and-the-math-you-should-know-9bf66db5241b ...

Note:Mind the spelling error at 6:02 I know it's supposed to say sigmoid ...my bad and thanks to my good friend Steven Yao for ...

Some parametric methods, like polynomial regression and Support Vector Machines stand out as being very versatile. This is due ...

Let's talk about one of the more important concepts in reinforcement learning: q-learning ABOUT ME ⭕ Subscribe: ...

Many animations used in this video came from Jonathan Barron [1, 2]. Give this researcher a like for his hard work! SUBSCRIBE ...

Let's see model interpretation with Shapely Values Follow me on M E D I U M: ...

INVESTING [1] Webull (You can get 3 free stocks setting up a webull account today): https://a.webull.com/8XVa1znjYxio6ESdff ...

... Probability Theory for Machine Learning: https://youtube.com/playlist?list=PLTl9hO2Oobd9bPcq0fj91Jgk_-h1H_W3V ⭕ Coding ...

This has been my favorite video so far to make! I think interpretability is so important both in terms of ensuring safe AI and also ...

We start with the whats/whys/hows. Then delve into details (math) with examples. Follow me on M E D I U M: ...

A quick introduction to PAC Learning and VC Dimension.

From Gradient Descent to Adam. Here are some optimizers you should know. And an easy way to remember them. SUBSCRIBE ...

Please subscribe to keep me alive: https://www.youtube.com/c/CodeEmporium?sub_confirmation=1 BLOG: ...

An introduction to supervised machine learning. In this presentation, I first define the machine learning task known as supervised ...

What drives most modern machine learning algorithms? In this video, we break down Empirical Risk Minimization (ERM) — the ...