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67 results
Attention is one of the most important concepts behind Transformers and Large Language Models, like ChatGPT. However, it's not ...
232,070 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 ...
1,086,760 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 ...
664,104 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 ...
266,269 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 ...
282,771 views
One of the fundamental concepts in machine learning is Cross Validation. It's how we decide which machine learning method ...
1,075,706 views
6 years ago
The Cosine Similarity is a useful metric for determining, among other things, how similar or different two text phrases are. I'll be ...
78,437 views
ROC (Receiver Operator Characteristic) graphs and AUC (the area under the curve), are useful for consolidating the information ...
1,461,278 views
In this video, we introduce the basics of how Neural Networks translate one language, like English, to another, like Spanish.
165,114 views
Random Forests make a simple, yet effective, machine learning method. They are made out of decision trees, but don't have the ...
1,116,406 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 ...
1,234,421 views
Bias and Variance are two fundamental concepts for Machine Learning, and their intuition is just a little different from what you ...
1,268,514 views
Logistic regression is a traditional statistics technique that is also very popular as a machine learning tool. In this StatQuest, I go ...
2,134,938 views
Neural Networks are one of the most popular Machine Learning algorithms, but they are also one of the most poorly understood.
888,261 views
3 years ago
So far, this series has explained how very simple Neural Networks, with only 1 input and 1 output, function. This video shows how ...
158,060 views
The ReLU activation function is one of the most popular activation functions for Deep Learning and Convolutional Neural ...
248,857 views
When you don't always have the same amount of data, like when translating different sentences from one language to another, ...
490,809 views
The normal, or Gaussian, distribution is the most common distribution in all of statistics. Here I explain the basics of how these ...
1,367,920 views
Backpropagation is the method we use to optimize parameters in a Neural Network. The ideas behind backpropagation are quite ...
488,268 views
One of the most basic concepts in statistics is hypothesis testing and something called The Null Hypothesis. This video breaks ...
517,134 views