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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 ...

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

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: ...

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

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

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

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

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

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 ...

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

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 ...

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

REFERENCES [1] A Short Introduction to Boosting: https://cseweb.ucsd.edu/~yfreund/papers/IntroToBoosting.pdf [2] A Theory of ...

Let's talk about the foundation concept of Q-learning, SARSA called Temporal Difference Learning. ABOUT ME ⭕ Subscribe: ...

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

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

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

A quick introduction to PAC Learning and VC Dimension.

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

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

In this video, we tackle the basics of silhouette scores. The silhouette score reports on how central a data point is to its own cluster.