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749 results
Attention is one of the most important concepts behind Transformers and Large Language Models, like ChatGPT. However, it's not ...
232,090 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 ...
1,086,776 views
4 years ago
Bootstrapping is one of the simplest, yet most powerful methods in all of statistics. It provides us an easy way to get a sense of ...
433,499 views
2 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 ...
266,327 views
One of the coolest things that Neural Networks can do is classify images, and this is often done with a type of Neural Network ...
222,739 views
3 years ago
One of the fundamental concepts in machine learning is the Confusion Matrix. Combined with Cross Validation, it's how we decide ...
664,123 views
5 years ago
When most people want to learn about Naive Bayes, they want to learn about the Multinomial Naive Bayes Classifier - which ...
1,017,253 views
R-squared is one of the most useful metrics for understanding how two quantitate things, like weight and height, are related.
166,653 views
Entropy is a fundamental concept in Data Science because it shows up all over the place - from Decision Trees, to similarity ...
578,846 views
In this video, we introduce the basics of how Neural Networks translate one language, like English, to another, like Spanish.
165,138 views
When a Neural Network is used for classification, we usually evaluate how well it fits the data with Cross Entropy. This StatQuest ...
224,865 views
The odds aren't as odd as you might think, and the log of the odds is even simpler! This StatQuest covers those subjects so that ...
340,143 views
6 years ago
Decision trees are part of the foundation for Machine Learning. Although they are quite simple, they are very flexible and pop up in ...
686,322 views
If you'd like to support StatQuest, please consider... Buying The StatQuest Illustrated Guide to Machine Learning!
738,627 views
7 years ago
The binomial distribution and the related statistical test look really complicated, but a actually quite simple. Here I walk you ...
266,507 views
Bias and Variance are two fundamental concepts for Machine Learning, and their intuition is just a little different from what you ...
1,268,570 views
Backpropagation is the method we use to optimize parameters in a Neural Network. The ideas behind backpropagation are quite ...
488,342 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 ...
282,797 views
The normal, or Gaussian, distribution is the most common distribution in all of statistics. Here I explain the basics of how these ...
1,367,997 views
When you don't always have the same amount of data, like when translating different sentences from one language to another, ...
490,893 views