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

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

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

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

All Machine Learning algorithms intuitively explained in 17 min ######################################### I just started ...

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

... machine learning model for you - supervised or Unsupervised learning? In this video, Martin Keen explains what the difference ...

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

In theory, discrete variables, or features, are easy to use with machine learning algorithms. However, in practice, it's not always so ...

Backpropagation is the method we use to optimize parameters in a Neural Network. The ideas behind backpropagation are quite ...

One of the coolest things that Neural Networks can do is classify images, and this is often done with a type of Neural Network ...

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

ROC (Receiver Operator Characteristic) graphs and AUC (the area under the curve), are useful for consolidating the information ...

Tensors are super important for neural networks, but can be confusing because different people use the word "Tensor" differently.

Machine learning and Data Mining sure sound like complicated things, but that isn't always the case. Here we talk about the ...

Learn Machine Learning Like a GENIUS and Not Waste Time ######################################### I just started ...

In this StatQuest we talk about Sensitivity and Specificity - to key concepts for evaluating Machine Learning methods. These make ...

Lasso Regression is super similar to Ridge Regression, but there is one big, huge difference between the two. In this video, I start ...

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

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