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315 results
Transformer Neural Networks are the heart of pretty much everything exciting in AI right now. ChatGPT, Google Translate and ...
600,636 views
11 months ago
This StatQuest is all about interpreting p-values. You've seen them online or in publications, or heard about them, whispered in ...
1,087,914 views
4 years ago
Attention is one of the most important concepts behind Transformers and Large Language Models, like ChatGPT. However, it's not ...
232,716 views
1 year ago
One of the fundamental concepts in machine learning is the Confusion Matrix. Combined with Cross Validation, it's how we decide ...
665,102 views
5 years ago
One of the most basic concepts in statistics is hypothesis testing and something called The Null Hypothesis. This video breaks ...
517,955 views
3 years ago
One of the fundamental concepts in machine learning is Cross Validation. It's how we decide which machine learning method ...
1,076,882 views
6 years ago
Statistical Power is one of those things that sounds so fancy and, well, "Powerful", but it's actually a really simple concept and this ...
283,009 views
Bias and Variance are two fundamental concepts for Machine Learning, and their intuition is just a little different from what you ...
1,269,656 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 ...
267,340 views
ROC (Receiver Operator Characteristic) graphs and AUC (the area under the curve), are useful for consolidating the information ...
1,462,784 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 ...
1,235,669 views
Here's one of those tricky little things, Probability vs. Likelihood. In common conversation we use these words interchangeably.
1,163,347 views
Although you don't need to know matrix algebra to understand the ideas behind neural networks, if you want to code them or read ...
44,987 views
6 months ago
Support Vector Machines are one of the most mysterious methods in Machine Learning. This StatQuest sweeps away the mystery ...
1,326,902 views
Gradient Descent is the workhorse behind most of Machine Learning. When you fit a machine learning method to a training ...
1,298,793 views
If you hang out around statisticians long enough, sooner or later someone is going to mumble "maximum likelihood" and everyone ...
1,390,044 views
Principal Component Analysis, is one of the most useful data analysis and machine learning methods out there. It can be used to ...
2,823,213 views
Random Forests make a simple, yet effective, machine learning method. They are made out of decision trees, but don't have the ...
1,117,350 views
Neural Networks are one of the most popular Machine Learning algorithms, but they are also one of the most poorly understood.
889,904 views
Basic recurrent neural networks are great, because they can handle different amounts of sequential data, but even relatively small ...
494,634 views