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352 results
Transformer Neural Networks are the heart of pretty much everything exciting in AI right now. ChatGPT, Google Translate and ...
600,501 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 ...
44,979 views
6 months ago
Attention is one of the most important concepts behind Transformers and Large Language Models, like ChatGPT. However, it's not ...
232,689 views
1 year ago
This StatQuest is all about interpreting p-values. You've seen them online or in publications, or heard about them, whispered in ...
1,087,839 views
4 years ago
Gradient Descent is the workhorse behind most of Machine Learning. When you fit a machine learning method to a training ...
1,298,692 views
5 years ago
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 ...
267,271 views
One of the fundamental concepts in machine learning is the Confusion Matrix. Combined with Cross Validation, it's how we decide ...
665,005 views
One of the most basic concepts in statistics is hypothesis testing and something called The Null Hypothesis. This video breaks ...
517,920 views
3 years ago
If you hang out around statisticians long enough, sooner or later someone is going to mumble "maximum likelihood" and everyone ...
1,390,044 views
6 years ago
The normal, or Gaussian, distribution is the most common distribution in all of statistics. Here I explain the basics of how these ...
1,369,520 views
In this video, we introduce the basics of how Neural Networks translate one language, like English, to another, like Spanish.
165,624 views
Support Vector Machines are one of the most mysterious methods in Machine Learning. This StatQuest sweeps away the mystery ...
1,326,821 views
ROC (Receiver Operator Characteristic) graphs and AUC (the area under the curve), are useful for consolidating the information ...
1,462,721 views
Basic recurrent neural networks are great, because they can handle different amounts of sequential data, but even relatively small ...
494,519 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 ...
739,273 views
One of the fundamental concepts in machine learning is Cross Validation. It's how we decide which machine learning method ...
1,076,828 views
Random Forests make a simple, yet effective, machine learning method. They are made out of decision trees, but don't have the ...
1,117,346 views
Bias and Variance are two fundamental concepts for Machine Learning, and their intuition is just a little different from what you ...
1,269,567 views
Principal Component Analysis, is one of the most useful data analysis and machine learning methods out there. It can be used to ...
2,823,065 views
Here's one of those tricky little things, Probability vs. Likelihood. In common conversation we use these words interchangeably.
1,163,316 views