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Bias and Variance are two fundamental concepts for Machine Learning, and their intuition is just a little different from what you ...

Machine Learning is one of those things that is chock full of hype and confusion terminology. In this StatQuest, we cut through all ...

Neural Networks are one of the most popular Machine Learning algorithms, but they are also one of the most poorly understood.

The concepts behind linear regression, fitting a line to data with least squares and R-squared, are pretty darn simple, so let's get ...

Support Vector Machines are one of the most mysterious methods in Machine Learning. This StatQuest sweeps away the mystery ...

One of the fundamental concepts in machine learning is Cross Validation. It's how we decide which machine learning method ...

Random Forests make a simple, yet effective, machine learning method. They are made out of decision trees, but don't have the ...

One of the fundamental concepts in machine learning is the Confusion Matrix. Combined with Cross Validation, it's how we decide ...

XGBoost is an extreme machine learning algorithm, and that means it's got lots of parts. In this video, we focus on the unique ...

Because every StatQuest starts with a Silly Song, so does my book! For a complete index of all the StatQuest videos, check out: ...

Reinforcement Learning is one of the most useful methodologies for training AI systems right now, and, while it might seem ...

When most people want to learn about Naive Bayes, they want to learn about the Multinomial Naive Bayes Classifier - which ...

Decision trees are part of the foundation for Machine Learning. Although they are quite simple, they are very flexible and pop up in ...

The main ideas behind PCA are actually super simple and that means it's easy to interpret a PCA plot: Samples that are correlated ...

Is StatQuest book overrated?.. let's find out! 00:00 Intro 00:13 The Book! 00:37 The Content! 00:51The Surprise! 01:30 The Heart!

Gradient Descent is the workhorse behind most of Machine Learning. When you fit a machine learning method to a training ...

Transformer Neural Networks are the heart of pretty much everything exciting in AI right now. ChatGPT, Google Translate and ...

Ridge Regression is a neat little way to ensure you don't overfit your training data - essentially, you are desensitizing your model ...

Logistic regression is a traditional statistics technique that is also very popular as a machine learning tool. In this StatQuest, I go ...

NOTE: This video was originally made as a follow up to an overview of Maximum Likelihood https://youtu.be/XepXtl9YKwc .