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320 results
Transformer Neural Networks are the heart of pretty much everything exciting in AI right now. ChatGPT, Google Translate and ...
602,716 views
11 months ago
Although you don't need to know matrix algebra to understand the ideas behind neural networks, if you want to code them or read ...
45,153 views
6 months ago
This StatQuest is all about interpreting p-values. You've seen them online or in publications, or heard about them, whispered in ...
1,088,843 views
4 years ago
One of the fundamental concepts in machine learning is the Confusion Matrix. Combined with Cross Validation, it's how we decide ...
665,790 views
5 years ago
One of the most basic concepts in statistics is hypothesis testing and something called The Null Hypothesis. This video breaks ...
518,639 views
3 years ago
Attention is one of the most important concepts behind Transformers and Large Language Models, like ChatGPT. However, it's not ...
233,452 views
1 year ago
Gradient Descent is the workhorse behind most of Machine Learning. When you fit a machine learning method to a training ...
1,299,956 views
Statistical Power is one of those things that sounds so fancy and, well, "Powerful", but it's actually a really simple concept and this ...
283,227 views
Bias and Variance are two fundamental concepts for Machine Learning, and their intuition is just a little different from what you ...
1,270,725 views
Words are great, but if we want to use them as input to a neural network, we have to convert them to numbers. One of the most ...
268,302 views
The main ideas behind PCA are actually super simple and that means it's easy to interpret a PCA plot: Samples that are correlated ...
1,236,655 views
6 years ago
One of the fundamental concepts in machine learning is Cross Validation. It's how we decide which machine learning method ...
1,077,951 views
If you hang out around statisticians long enough, sooner or later someone is going to mumble "maximum likelihood" and everyone ...
1,390,797 views
Here's one of those tricky little things, Probability vs. Likelihood. In common conversation we use these words interchangeably.
1,163,626 views
Support Vector Machines are one of the most mysterious methods in Machine Learning. This StatQuest sweeps away the mystery ...
1,327,938 views
Random Forests make a simple, yet effective, machine learning method. They are made out of decision trees, but don't have the ...
1,118,261 views
Principal Component Analysis, is one of the most useful data analysis and machine learning methods out there. It can be used to ...
2,825,263 views
The Central Limit Theorem is a big deal, but it's easy to understand. Here I show you what it is, then I describe why this is useful ...
739,978 views
Transformers, the neural network architecture behind ChatGPT, do a lot of math. However, this math can be done quickly using ...
46,537 views
2 months ago
The normal, or Gaussian, distribution is the most common distribution in all of statistics. Here I explain the basics of how these ...
1,371,067 views