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145,318 results
There's one specific role that builds a bridge between data science and its practical counterpart, machine learning. Meet the ...
103,483 views
4 years ago
Data is one of the main factors determining whether machine learning projects will succeed or fail. That's why it is necessary to ...
114,864 views
Part of the End-to-End Machine Learning School course library at http://e2eml.school See these concepts used in an End to End ...
39,688 views
7 years ago
In this video, Antonio Alonso-Stepanov, an NCSSM Online AI teaching assistant, explains the three types of machine learning: ...
1,729 views
A quick introduction to PAC Learning and VC Dimension.
26,398 views
5 years ago
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 ...
2,686 views
http://www.weforum.org/ Tom Mitchell introduces us to Carnegie Mellon's Never Ending learning machines: intelligent computers ...
12,677 views
10 years ago
to get started with AI engineering, check out this Scrimba course: ...
7,678 views
1 year ago
This formula saves MILLIONS with Machine Learning SPONSOR Kite is a free AI-powered coding assistant that will help you code ...
3,758 views
Follow me on M E D I U M: https://towardsdatascience.com/likelihood-probability-and-the-math-you-should-know-9bf66db5241b ...
42,158 views
Please subscribe to keep me alive: https://www.youtube.com/c/CodeEmporium?sub_confirmation=1 BLOG: ...
875,614 views
6 years ago
Many animations used in this video came from Jonathan Barron [1, 2]. Give this researcher a like for his hard work! SUBSCRIBE ...
162,713 views
Some parametric methods, like polynomial regression and Support Vector Machines stand out as being very versatile. This is due ...
204,398 views
Let's see model interpretation with Shapely Values Follow me on M E D I U M: ...
32,187 views
An overview of artificial intelligence (AI) and its core subfields, machine learning (ML) and deep learning (DL), often using Venn ...
117 views
2 months ago
We start with the whats/whys/hows. Then delve into details (math) with examples. Follow me on M E D I U M: ...
153,207 views
... Probability Theory for Machine Learning: https://youtube.com/playlist?list=PLTl9hO2Oobd9bPcq0fj91Jgk_-h1H_W3V ⭕ Coding ...
66,611 views
2 years ago
Let's talk about one of the more important concepts in reinforcement learning: q-learning ABOUT ME ⭕ Subscribe: ...
84,146 views
An introduction to supervised machine learning. In this presentation, I first define the machine learning task known as supervised ...
876 views
3 years ago
INVESTING [1] Webull (You can get 3 free stocks setting up a webull account today): https://a.webull.com/8XVa1znjYxio6ESdff ...
186,168 views
From Gradient Descent to Adam. Here are some optimizers you should know. And an easy way to remember them. SUBSCRIBE ...
146,331 views
What drives most modern machine learning algorithms? In this video, we break down Empirical Risk Minimization (ERM) — the ...
42,741 views
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 ...
11,892 views
483,167 views
... Machine Learning: https://youtube.com/playlist?list=PLTl9hO2Oobd9bPcq0fj91Jgk_-h1H_W3V ⭕ Coding Machine Learning: ...
25,150 views