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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 ...

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

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

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

... 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: ...

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

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

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

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

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

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

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

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

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

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 ...

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

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 ...

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

Let's talk about a neural network concept called transfer learning. We use this in BERT, GPT and the large language models today ...

If you like this video and want to see more content on data Science, Machine learning, Deep Learning and AI, hit that SUBSCRIBE ...

A quick introduction to PAC Learning and VC Dimension.

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