Although we've seen how to code a simple neural network with PyTorch, we can make our lives a lot easier if we add Lightning to the mix. It makes writing the...

This PDF study guide contains everything you need to know about t-SNE and UMAP. It contains 14 pages jam packed with pictures that walk you through each step of the processes and points out the sim...

Transformers, the neural network architecture behind ChatGPT, do a lot of math. However, this math can be done quickly using matrix math because GPUs are opt...

Although you don't need to know matrix algebra to understand the ideas behind neural networks, if you want to code them or read the latest manuscripts about ...

PyTorch is one of the most popular tools for making Neural Networks. This StatQuest walks you through a simple example of how to use PyTorch one step at a ti...

PyTorch is one of the most popular tools for making Neural Networks. This Studio walks you through a simple example of how to use PyTorch one step at a time. By the end of this Studio, you'll know …

In this StatQuest we'll learn how to code an LSTM unit from scratch and then train it. Then we'll do the same thing with the PyTorch function nn.LSMT(). Along the way we'll learn two cool tricks th…

Word embedding is the first step in lots of neural networks, including Transformers (like ChatGPT) and other state of the art models. Here we learn how to code a stand alone word embedding network …

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

UMAP is one of the most popular dimension-reductions algorithms and this StatQuest walks you through UMAP, one step at a time, so that you will have a solid ...

If you understand the main ideas of how UMAP works and want to dive in deeper, this 'Quest is for you!!! It also highlights some of the more subtle differenc...

Seamlessly train hundreds of Machine Learning models on the cloud from your laptop

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

When you don't always have the same amount of data, like when translating different sentences from one language to another, or making stock market prediction...

Word embedding is the first step in lots of neural networks, including Transformers (like ChatGPT) and other state of the art models. Here we learn how to co...

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

Although although we can code neural networks in raw PyTorch, we can make our lives a lot easier if we add Lightning to the mix. It makes writing the code easier, makes it portable to different com…

Before we get to the main question – the real interesting part – let’s take a look at some of the (classification) decision tree basics to make sure that we ...

Basic recurrent neural networks are great, because they can handle different amounts of sequential data, but even relatively small sequences of data can make...

I always had trouble remembering exactly what sensitivity, specificity, precision and recall all meant, so I wrote this song to help me out. And it worked!!!...

Becoming a Data Head: How to Think, Speak and Understand Data Science, Statistics and Machine Learning

When you don't always have the same amount of data, like when translating different sentences from one language to another, or making stock market prediction...

The very first webinar in our new talk series Eruditus by Dr. Joshua Starmer.Dr. Joshua Starmer is founder and CEO of StatQuest, a youtube channel that teach...

The Cosine Similarity is a useful metric for determining, among other things, how similar or different two text phrases are. I'll be honest, the first time I...

Over the years a lot of people have asked me to talk about a machine learning method called CatBoost. One CatBoot's things is to use a unique approach to Tar...

The Golden Play Button is usually super confusing. In this video, we break it down and walk you through it one-step-at-a-time. By the end of this StatQuest, ...

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

Mutual Information is metric that quantifies how similar or different two variables are. This is a lot like R-squared, but R-squared only works for continuou...

Statistics, Machine Learning and Data Science can sometimes seem like very scary topics, but since each technique is really just a combination of small and simple steps, they are actually quite...

Transformers are taking over AI right now, and quite possibly their most famous use is in ChatGPT. ChatGPT uses a specific type of Transformer called a Decod...

A StatQuest http://statquest.org/ about RPKM, FPKM and TPM. These terms are for high-throughput RNA-seq experiments.For a complete index of all the StatQuest...

Josh is founder and CEO of StatQuest (https://www.youtube.com/user/joshstarmer), a youtube channel that teaches Data Science topics like Statistics and Machi...

Here is a step-by-step guide that shows you how to take the derivative of the Cross Entropy function for Neural Networks and then shows you how to use that d...

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

In this StatQuest we'll learn how to code an LSTM unit from scratch and then train it. Then we'll do the same thing with the PyTorch function nn.LSMT(). Alon...