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null | null | null | null | null | Naive Bayes, Clearly Explained!!! | 2020-06-03 | When most people want to learn about Naive Bayes, they want to learn about the Multinomial Naive Bayes Classifier - which sounds really fancy, but is actually quite simple. This video walks you through it one step at a time and by the end, you'll no longer be naive about Naive Bayes!!!
Get the StatQuest Study Guide he... | 1,028,811 | 26,973 | 1,572 | null | Provide a summary for the following playlist | null | Views: nan, Likes: nan, Comments: nan, Videos: nan | |
null | null | null | null | null | Gaussian Naive Bayes, Clearly Explained!!! | 2020-06-03 | Gaussian Naive Bayes takes are of all your Naive Bayes needs when your training data are continuous. If that sounds fancy, don't sweat it! This StatQuest will clear up all your doubts in a jiffy!
NOTE: This StatQuest assumes that you are already familiar with...
Multinomial Naive Bayes: https://youtu.be/O2L2Uv9pdDA
Th... | 330,670 | 7,700 | 470 | null | Provide a summary for the following playlist | null | Views: nan, Likes: nan, Comments: nan, Videos: nan | |
null | null | null | null | null | Decision and Classification Trees, Clearly Explained!!! | 2021-04-26 | Decision trees are part of the foundation for Machine Learning. Although they are quite simple, they are very flexible and pop up in a very wide variety of situations. This StatQuest covers all the basics and shows you how to create a new tree from scratch, one step at a time.
NOTE: This is an updated and revised vers... | 702,580 | 14,921 | 741 | null | Provide a summary for the following playlist | null | Views: nan, Likes: nan, Comments: nan, Videos: nan | |
null | null | null | null | null | StatQuest: Decision Trees, Part 2 - Feature Selection and Missing Data | 2018-01-29 | This is just a short follow up to last week's StatQuest where we introduced decision trees. Here we show how decision trees deal with variables that don't improve the tree (feature selection) and how they deal with missing data.
To learn the basics about Decision Trees, see: https://youtu.be/_L39rN6gz7Y
For a complet... | 172,632 | 3,118 | 162 | null | Provide a summary for the following playlist | null | Views: nan, Likes: nan, Comments: nan, Videos: nan | |
null | null | null | null | null | Regression Trees, Clearly Explained!!! | 2019-08-20 | Regression Trees are one of the fundamental machine learning techniques that more complicated methods, like Gradient Boost, are based on. They are useful for times when there isn't an obviously linear relationship between what you want to predict, and the things you are using to make the predictions. This StatQuest wal... | 619,726 | 14,733 | 1,254 | null | Provide a summary for the following playlist | null | Views: nan, Likes: nan, Comments: nan, Videos: nan | |
null | null | null | null | null | How to Prune Regression Trees, Clearly Explained!!! | 2019-11-25 | Pruning Regression Trees is one the most important ways we can prevent them from overfitting the Training Data. This video walks you through Cost Complexity Pruning, aka Weakest Link Pruning, step-by-step so that you can learn how it works and see it in action.
NOTE: This StatQuest assumes you already know about...
Reg... | 218,934 | 4,630 | 530 | null | Provide a summary for the following playlist | null | Views: nan, Likes: nan, Comments: nan, Videos: nan | |
null | null | null | null | null | One-Hot, Label, Target and K-Fold Target Encoding, Clearly Explained!!! | 2023-02-13 | In theory, discrete variables, or features, are easy to use with machine learning algorithms. However, in practice, it's not always so easy and we often have to transform discrete values, like favorite colors, into numbers. There are lots of ways to do this, and this video walks you through 3 of the most popular method... | 46,231 | 1,573 | 162 | AUieDaZYXIvX_4Qv5N3e4ZNMAF6R9_8pXRsX41J9Xe-tL-eC | Provide a summary for the following playlist | null | Views: nan, Likes: nan, Comments: nan, Videos: nan | |
null | null | null | null | null | Classification Trees in Python from Start to Finish | 2020-06-07 | NOTE: You can support StatQuest by purchasing the Jupyter Notebook and Python code seen in this video here: https://statquest.gumroad.com/l/tzxoh
This webinar was recorded 20200528 at 11:00am (New York time).
NOTE: This StatQuest assumes are already familiar with:
Decision Trees: https://youtu.be/7VeUPuFGJHk
Cross Va... | 183,662 | 4,100 | 582 | null | Provide a summary for the following playlist | null | Views: nan, Likes: nan, Comments: nan, Videos: nan | |
null | null | null | null | null | StatQuest: Random Forests Part 1 - Building, Using and Evaluating | 2018-02-05 | Random Forests make a simple, yet effective, machine learning method. They are made out of decision trees, but don't have the same problems with accuracy. In this video, I walk you through the steps to build, use and evaluate a random forest.
NOTE: Random Forests are made from Decision Trees, so if you don't know abou... | 1,127,683 | 18,943 | 1,317 | AUieDabzZkMaPteByBFXr5IQ_h1UYN2jEmFDQuvQVF20WoIx | Provide a summary for the following playlist | null | Views: nan, Likes: nan, Comments: nan, Videos: nan | |
null | null | null | null | null | StatQuest: Random Forests Part 2: Missing data and clustering | 2020-01-15 | NOTE: This StatQuest is the updated version of the original Random Forests Part 2 and includes two minor corrections.
Last time we talked about how to create, use and evaluate random forests. Now it's time to see how they can deal with missing data and how they can be used to cluster samples, even when the data comes ... | 237,090 | 5,382 | 431 | null | Provide a summary for the following playlist | null | Views: nan, Likes: nan, Comments: nan, Videos: nan | |
null | null | null | null | null | StatQuest: Random Forests in R | 2018-02-26 | Random Forests are an easy to understand and easy to use machine learning technique that is surprisingly powerful. Here I show you, step by step, how to use them in R.
NOTE: There is an error at 13:26. I meant to call "as.dist()" instead of "dist()".
The code that I used in this video can be found on the StatQuest Gi... | 153,451 | 2,931 | 402 | null | Provide a summary for the following playlist | null | Views: nan, Likes: nan, Comments: nan, Videos: nan | |
null | null | null | null | null | The Chain Rule | 2020-07-13 | The Chain Rule is a method for finding complex derivatives and is used all the time in Statistics and Machine Learning. This video breaks it down into its two simple pieces and shows you how they easily come together. We then use the Chain Rule to solve a common Machine Learning problem - optimizing the Residual Square... | 242,540 | 6,428 | 450 | AUieDaZ1IlfR8cu1azzP_POSB90EZDkCvvveAVvuloLG0-ipwV0 | Provide a summary for the following playlist | null | Views: nan, Likes: nan, Comments: nan, Videos: nan | |
null | null | null | null | null | Gradient Descent, Step-by-Step | 2019-02-05 | Gradient Descent is the workhorse behind most of Machine Learning. When you fit a machine learning method to a training dataset, you're probably using Gradient Descent. It can optimize parameters in a wide variety of settings. Since it's so fundamental to Machine Learning, I decided to make a "step-by-step" video that ... | 1,313,310 | 33,004 | 2,674 | AUieDaZg-0mglp9LtLiKUjl6esbpobIvfYAS_6cyxVKfj_0U | Provide a summary for the following playlist | null | Views: nan, Likes: nan, Comments: nan, Videos: nan | |
null | null | null | null | null | Stochastic Gradient Descent, Clearly Explained!!! | 2019-05-13 | Even though Stochastic Gradient Descent sounds fancy, it is just a simple addition to "regular" Gradient Descent. This video sets up the problem that Stochastic Gradient Descent solves and then shows how it does it. Along the way, we discuss situations where Stochastic Gradient Descent is most useful, and some cool fea... | 455,295 | 10,770 | 540 | null | Provide a summary for the following playlist | null | Views: nan, Likes: nan, Comments: nan, Videos: nan | |
null | null | null | null | null | AdaBoost, Clearly Explained | 2019-01-14 | AdaBoost is one of those machine learning methods that seems so much more confusing than it really is. It's really just a simple twist on decision trees and random forests.
NOTE: This video assumes you already know about Decision Trees...
https://youtu.be/_L39rN6gz7Y
...and Random Forests....
https://youtu.be/J4Wdy0Wc... | 738,476 | 15,251 | 1,736 | null | Provide a summary for the following playlist | null | Views: nan, Likes: nan, Comments: nan, Videos: nan | |
null | null | null | null | null | Gradient Boost Part 1 (of 4): Regression Main Ideas | 2019-03-25 | Gradient Boost is one of the most popular Machine Learning algorithms in use. And get this, it's not that complicated! This video is the first part in a series that walks through it one step at a time. This video focuses on the main ideas behind using Gradient Boost to predict a continuous value, like someone's weight.... | 789,515 | 12,362 | 875 | null | Provide a summary for the following playlist | null | Views: nan, Likes: nan, Comments: nan, Videos: nan | |
null | null | null | null | null | Gradient Boost Part 2 (of 4): Regression Details | 2019-04-01 | Gradient Boost is one of the most popular Machine Learning algorithms in use. And get this, it's not that complicated! This video is the second part in a series that walks through it one step at a time. This video focuses on the original Gradient Boost algorithm used to predict a continuous value, like someone's weight... | 284,288 | 6,314 | 881 | null | Provide a summary for the following playlist | null | Views: nan, Likes: nan, Comments: nan, Videos: nan | |
null | null | null | null | null | Gradient Boost Part 3 (of 4): Classification | 2019-04-08 | This is Part 3 in our series on Gradient Boost. At long last, we are showing how it can be used for classification. This video gives focuses on the main ideas behind this technique. The next video in this series will focus more on the math and how it works with the underlying algorithm.
This StatQuest assumes that you... | 257,543 | 4,920 | 525 | null | Provide a summary for the following playlist | null | Views: nan, Likes: nan, Comments: nan, Videos: nan | |
null | null | null | null | null | Gradient Boost Part 4 (of 4): Classification Details | 2019-04-22 | At last, part 4 in our series of videos on Gradient Boost. This time we dive deep into the details of how it is used for classification, going through algorithm, and the math behind it, one step at a time. Specifically, we derive the loss function from the log(likelihood) of the data and we derive the functions used to... | 124,387 | 2,455 | 512 | null | Provide a summary for the following playlist | null | Views: nan, Likes: nan, Comments: nan, Videos: nan | |
null | null | null | null | null | Troll 2, Clearly Explained!!! | 2022-04-01 | This year's April Fools' (April 1st) StatQuest demystifies one of the most poorly understood datasets in StatQuest videos: The movie Troll 2. Tin this StatQuest, we break down the movie it easy to understand pieces and then walk you through it, one step at a time. BAM!
NOTE: This StatQuest assumes you are familiar wit... | 16,422 | 512 | 85 | null | Provide a summary for the following playlist | null | Views: nan, Likes: nan, Comments: nan, Videos: nan | |
null | null | null | null | null | XGBoost Part 1 (of 4): Regression | 2019-12-16 | XGBoost is an extreme machine learning algorithm, and that means it's got lots of parts. In this video, we focus on the unique regression trees that XGBoost uses when applied to Regression problems.
NOTE: This StatQuest assumes that you are already familiar with...
The main ideas behind Gradient Boost for Regression: ... | 621,913 | 8,566 | 805 | null | Provide a summary for the following playlist | null | Views: nan, Likes: nan, Comments: nan, Videos: nan | |
null | null | null | null | null | XGBoost Part 2 (of 4): Classification | 2020-01-13 | In this video we pick up where we left off in part 1 and cover how XGBoost trees are built for Classification.
NOTE: This StatQuest assumes that you are already familiar with...
XGBoost Part 1: XGBoost Trees for Regression: https://youtu.be/OtD8wVaFm6E
...the main ideas behind Gradient Boost for Classification: https... | 222,641 | 3,359 | 405 | null | Provide a summary for the following playlist | null | Views: nan, Likes: nan, Comments: nan, Videos: nan | |
null | null | null | null | null | XGBoost Part 3 (of 4): Mathematical Details | 2020-02-10 | In this video we dive into the nitty-gritty details of the math behind XGBoost trees. We derive the equations for the Output Values from the leaves as well as the Similarity Score. Then we show how these general equations are customized for Regression or Classification by their respective Loss Functions. If you make i... | 122,442 | 1,937 | 284 | null | Provide a summary for the following playlist | null | Views: nan, Likes: nan, Comments: nan, Videos: nan | |
null | null | null | null | null | XGBoost Part 4 (of 4): Crazy Cool Optimizations | 2020-03-02 | This video covers all kinds of extra optimizations that XGBoost uses when the training dataset is huge. So we'll talk about the Approximate Greedy Algorithm, Parallel Learning, The Weighted Quantile Sketch, Sparsity-Aware Split Finding (i.e. how XGBoost deals with missing data and uses default paths), Cache-Aware Acces... | 88,780 | 2,087 | 217 | null | Provide a summary for the following playlist | null | Views: nan, Likes: nan, Comments: nan, Videos: nan | |
null | null | null | null | null | XGBoost in Python from Start to Finish | 2020-08-01 | NOTE: You can support StatQuest by purchasing the Jupyter Notebook and Python code seen in this video here: https://statquest.gumroad.com/l/uroxo
NOTE: This StatQuest assumes that you are already familiar with:
XGBoost for Regression: https://youtu.be/OtD8wVaFm6E
XGBoost for Classification: https://youtu.be/8b1JEDvenQ... | 219,163 | 6,068 | 717 | null | Provide a summary for the following playlist | null | Views: nan, Likes: nan, Comments: nan, Videos: nan | |
null | null | null | null | null | Cosine Similarity, Clearly Explained!!! | 2023-01-30 | 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 saw the equation for The Cosine Similarity, I was scared. However, it turns out to be really quite simple, and this StatQuest walks you through it, one-step-at-a-... | 81,586 | 3,242 | 240 | AUieDaaOoWCPFvEE8D24j2x692W5mY1cDX5cZwub-nso1BdF | Provide a summary for the following playlist | null | Views: nan, Likes: nan, Comments: nan, Videos: nan | |
null | null | null | null | null | Support Vector Machines Part 1 (of 3): Main Ideas!!! | 2019-09-30 | Support Vector Machines are one of the most mysterious methods in Machine Learning. This StatQuest sweeps away the mystery to let know how they work.
Part 2: The Polynomial Kernel: https://youtu.be/Toet3EiSFcM
Part 3: The Radial (RBF) Kernel: https://youtu.be/Qc5IyLW_hns
NOTE: This StatQuest assumes you already know ... | 1,338,902 | 32,140 | 2,085 | AUieDabvJgFRs1tSTdqbGSsUE_1ydtVPdU4SVoWVi57f | Provide a summary for the following playlist | null | Views: nan, Likes: nan, Comments: nan, Videos: nan | |
null | null | null | null | null | Support Vector Machines Part 2: The Polynomial Kernel (Part 2 of 3) | 2019-11-04 | Support Vector Machines use kernel functions to do all the hard work and this StatQuest dives deep into one of the most popular: The Polynomial Kernel. We talk about the parameter values and how they calculate high-dimensional coordinates via the dot-product and high-dimensional relationships
NOTE: This StatQuest assu... | 331,499 | 6,763 | 424 | null | Provide a summary for the following playlist | null | Views: nan, Likes: nan, Comments: nan, Videos: nan | |
null | null | null | null | null | Support Vector Machines Part 3: The Radial (RBF) Kernel (Part 3 of 3) | 2019-11-04 | Support Vector Machines use kernel functions to do all the hard work and this StatQuest dives deep into one of the most popular: The Radial (RBF) Kernel. We talk about the parameter values, how they calculate high-dimensional coordinates and then we'll figure out, step-by-step, how the Radial Kernel works in infinite d... | 264,109 | 7,025 | 599 | null | Provide a summary for the following playlist | null | Views: nan, Likes: nan, Comments: nan, Videos: nan | |
null | null | null | null | null | Support Vector Machines in Python from Start to Finish. | 2020-06-30 | NOTE: You can support StatQuest by purchasing the Jupyter Notebook and Python code seen in this video here: http://statquest.gumroad.com/l/iulnea
This webinar was recorded 20200609 at 11:00am (New York Time)
NOTE: This StatQuest assumes that you are already familiar with:
Support Vector Machines: https://youtu.be/efR... | 131,948 | 3,675 | 373 | null | Provide a summary for the following playlist | null | Views: nan, Likes: nan, Comments: nan, Videos: nan | |
null | null | null | null | null | The Essential Main Ideas of Neural Networks | 2020-08-31 | 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 are "black boxes", but that's not true at all. In this video I break each piece down and show how it works, step-by-step, using simple mathematics that is still tru... | 904,590 | 24,705 | 1,989 | AUieDaYh_xyQwSapA7D9RgO90Oj3G_XRXpLjPJvIdbdUfnn0 | Provide a summary for the following playlist | null | Views: nan, Likes: nan, Comments: nan, Videos: nan | |
null | null | null | null | null | Neural Networks Pt. 2: Backpropagation Main Ideas | 2020-10-19 | Backpropagation is the method we use to optimize parameters in a Neural Network. The ideas behind backpropagation are quite simple, but there are tons of details. This StatQuest focuses on explaining the main ideas in a way that is easy to understand.
NOTE: This StatQuest assumes that you already know the main ideas b... | 498,141 | 10,278 | 531 | AUieDab8gsLb0CodH8GqaV8F5JsXDHfIKbcqCNDnGm63 | Provide a summary for the following playlist | null | Views: nan, Likes: nan, Comments: nan, Videos: nan | |
null | null | null | null | null | Backpropagation Details Pt. 1: Optimizing 3 parameters simultaneously. | 2020-11-02 | The main ideas behind Backpropagation are super simple, but there are tons of details when it comes time to implementing it. This video shows how to optimize three parameters in a Neural Network simultaneously and introduces some Fancy Notation.
NOTE: This StatQuest assumes that you already know the main ideas behind ... | 193,727 | 4,487 | 270 | null | Provide a summary for the following playlist | null | Views: nan, Likes: nan, Comments: nan, Videos: nan | |
null | null | null | null | null | Backpropagation Details Pt. 2: Going bonkers with The Chain Rule | 2020-11-02 | This StatQuest picks up right here Part 1 left off, and this time we're going to go totally bonkers with The Chain Rule and optimize every single parameter in this simple Neural Network. BAM!!!
NOTE: This StatQuest assumes that you already know the main ideas behind Backpropagation: https://youtu.be/IN2XmBhILt4
...and... | 124,713 | 3,839 | 478 | null | Provide a summary for the following playlist | null | Views: nan, Likes: nan, Comments: nan, Videos: nan | |
null | null | null | null | null | Neural Networks Pt. 3: ReLU In Action!!! | 2020-11-23 | The ReLU activation function is one of the most popular activation functions for Deep Learning and Convolutional Neural Networks. However, the function itself is deceptively simple. This StatQuest walks you through an example, step-by-step, that uses the ReLU activation function so you can see exactly what it does and ... | 253,977 | 5,772 | 300 | AUieDaamMynczhahTuimflvVlqFYRkpwDrilBTpAwW0N | Provide a summary for the following playlist | null | Views: nan, Likes: nan, Comments: nan, Videos: nan | |
null | null | null | null | null | Neural Networks Pt. 4: Multiple Inputs and Outputs | 2021-02-01 | So far, this series has explained how very simple Neural Networks, with only 1 input and 1 output, function. This video shows how these exact same concepts generalize to multiple inputs and outputs and provides a context within we can discuss SoftMax and ArgMax for modifying the output data.
NOTE: This StatQuest assum... | 160,877 | 4,079 | 262 | AUieDaYruRFyJo-z7I6WtYuY2_LjL49xvsykO-a3gN4N3ZRIbWQ | Provide a summary for the following playlist | null | Views: nan, Likes: nan, Comments: nan, Videos: nan | |
null | null | null | null | null | Neural Networks Part 5: ArgMax and SoftMax | 2021-02-08 | When your Neural Network has more than one output, then it is very common to train with SoftMax and, once trained, swap SoftMax out for ArgMax. This video give you all the details on these two methods so that you'll know when and why to use ArgMax or SoftMax.
NOTE: This StatQuest assumes that you already understand:
T... | 151,082 | 4,169 | 229 | AUieDaZvuEwOD0DfZKuh2dll3ZIABoaCs96D5nyHtqHwb8UlUGs | Provide a summary for the following playlist | null | Views: nan, Likes: nan, Comments: nan, Videos: nan | |
null | null | null | null | null | The SoftMax Derivative, Step-by-Step!!! | 2021-02-08 | Here's step-by-step guide that shows you how to take the derivatives of the SoftMax function, as used as a final output layer in a Neural Networks.
NOTE: This StatQuest assumes that you already understand the main ideas behind SoftMax. If not, check out the 'Quest: https://youtu.be/KpKog-L9veg
For a complete index of... | 73,819 | 1,704 | 91 | null | Provide a summary for the following playlist | null | Views: nan, Likes: nan, Comments: nan, Videos: nan | |
null | null | null | null | null | Neural Networks Part 6: Cross Entropy | 2021-03-01 | When a Neural Network is used for classification, we usually evaluate how well it fits the data with Cross Entropy. This StatQuest gives you and overview of how to calculate Cross Entropy and Total Cross Entropy.
NOTE: This StatQuest assumes that you are already familiar with...
The main ideas behind neural networks: ... | 229,720 | 5,912 | 258 | null | Provide a summary for the following playlist | null | Views: nan, Likes: nan, Comments: nan, Videos: nan | |
null | null | null | null | null | Neural Networks Part 7: Cross Entropy Derivatives and Backpropagation | 2021-03-01 | 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 derivative for Backpropagation.
NOTE: This StatQuest assumes that you are already familiar with...
The main ideas behind neural networks: https://youtu.be/CqOfi41L... | 122,501 | 2,946 | 309 | null | Provide a summary for the following playlist | null | Views: nan, Likes: nan, Comments: nan, Videos: nan | |
null | null | null | null | null | Neural Networks Part 8: Image Classification with Convolutional Neural Networks (CNNs) | 2021-03-08 | One of the coolest things that Neural Networks can do is classify images, and this is often done with a type of Neural Network called a Convolutional Neural Network (or CNN for short). In this StatQuest, we walk through how Convolutional Neural Networks work, one step at a time, and highlight the main ideas behind filt... | 228,437 | 7,233 | 743 | null | Provide a summary for the following playlist | null | Views: nan, Likes: nan, Comments: nan, Videos: nan | |
null | null | null | null | null | Recurrent Neural Networks (RNNs), Clearly Explained!!! | 2022-07-11 | 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 predictions from different companies, Recurrent Neural Networks come to the rescue. In this StatQuest, we'll show you how Recurrent Neural Networks work, one step at a time,... | 508,279 | 12,631 | 725 | AUieDaZRy-DaZRLiJtaRbDg66Pv02VOqzvjjkjPnpao0PwY-Co0 | Provide a summary for the following playlist | null | Views: nan, Likes: nan, Comments: nan, Videos: nan | |
null | null | null | null | null | Long Short-Term Memory (LSTM), Clearly Explained | 2022-11-07 | Basic recurrent neural networks are great, because they can handle different amounts of sequential data, but even relatively small sequences of data can make them difficult to train. This is where Long Short-Term Memory (LSTM) saves the day. Long Short-Term Memory is a type of recurrent neural network that can handle m... | 511,177 | 13,298 | 1,190 | AUieDabGyZNJ_zNUERq3BEMZnkysdQNoJ07xjAdpx5nHJCujfoA | Provide a summary for the following playlist | null | Views: nan, Likes: nan, Comments: nan, Videos: nan | |
null | null | null | null | null | Word Embedding and Word2Vec, Clearly Explained!!! | 2023-03-13 | 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 popular methods for assigning numbers to words is to use a Neural Network to create Word Embeddings. In this StatQuest, we go through the steps required to create Word Embeddings, and show how w... | 278,289 | 7,092 | 485 | AUieDaYmvfS3pC3E1Ri82VwTfQ4wwbzrhKCLi2JPg7HxM7sL | Provide a summary for the following playlist | null | Views: nan, Likes: nan, Comments: nan, Videos: nan | |
null | null | null | null | null | Sequence-to-Sequence (seq2seq) Encoder-Decoder Neural Networks, Clearly Explained!!! | 2023-05-08 | In this video, we introduce the basics of how Neural Networks translate one language, like English, to another, like Spanish. The ideas is to convert one sequence of things into another sequence of things, and thus, this type of neural network can be applied to all sort so of problems, including translating amino acids... | 172,489 | 3,581 | 321 | AUieDaa6cpu8TnxlTAw0Hbz7yiHQpGR5v7H7hP4M9mFf4tGiEu8 | Provide a summary for the following playlist | null | Views: nan, Likes: nan, Comments: nan, Videos: nan | |
null | null | null | null | null | Attention for Neural Networks, Clearly Explained!!! | 2023-06-05 | Attention is one of the most important concepts behind Transformers and Large Language Models, like ChatGPT. However, it's not that complicated. In this StatQuest, we add Attention to a basic Sequence-to-Sequence (Seq2Seq or Encoder-Decoder) model and walk through how it works and is calculated, one step at a time. BAM... | 240,640 | 5,079 | 397 | AUieDaYRmqWJFX4LaxFpCmVsW-40U6fsht1x4yKp5AECQOOQuhk | Provide a summary for the following playlist | null | Views: nan, Likes: nan, Comments: nan, Videos: nan | |
null | null | null | null | null | Transformer Neural Networks, ChatGPT's foundation, Clearly Explained!!! | 2023-07-24 | 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 on Transformers. This StatQuest cuts through all the hype and shows you how a Transformer works, one-step-at-a time.
NOTE: If you're interested in learning more ... | 624,913 | 15,897 | 1,221 | AUieDabG8b70r7bB5R8zPqB59Y09vAAEcroSuot6b2oeVNsAF4U | Provide a summary for the following playlist | null | Views: nan, Likes: nan, Comments: nan, Videos: nan | |
null | null | null | null | null | Decoder-Only Transformers, ChatGPTs specific Transformer, Clearly Explained!!! | 2023-08-28 | 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 Decoder-Only Transformer, and this StatQuest shows you how they work, one step at a time. And at the end (at 32:14), we talk about the differences between a Normal Tran... | 108,682 | 2,819 | 327 | null | Provide a summary for the following playlist | null | Views: nan, Likes: nan, Comments: nan, Videos: nan | |
null | null | null | null | null | Tensors for Neural Networks, Clearly Explained!!! | 2022-02-28 | Tensors are super important for neural networks, but can be confusing because different people use the word "Tensor" differently. In this StatQuest, we clear this up and tell you what the big deal is. BAM!
NOTE: If you are not already familiar with Neural Networks, check out the Neural Network playlist: https://www.yo... | 173,772 | 5,591 | 273 | null | Provide a summary for the following playlist | null | Views: nan, Likes: nan, Comments: nan, Videos: nan | |
null | null | null | null | null | Essential Matrix Algebra for Neural Networks, Clearly Explained!!! | 2023-12-11 | 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 the field, then you'll need to understand matrix algebra. This video teaches the essential topics in matrix algebra and shows how a neural network can be written a... | 46,675 | 1,428 | 138 | AUieDaam5fVo1xmSYqY9TCeHUTSN2_4vXI4mqo5SNSF3 | Provide a summary for the following playlist | null | Views: nan, Likes: nan, Comments: nan, Videos: nan | |
null | null | null | null | null | The matrix math behind transformer neural networks, one step at a time!!! | 2024-04-08 | 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 optimized for it. Matrix math is also used when we code neural networks, so learning how ChatGPT does it will help you code your own. Thus, in this video, we go throu... | 48,492 | 1,034 | 104 | AUieDaZLvm4cA5Igf6HmuRsSw11uIRL_9iK7jUZOQQ5-LX8o6FE | Provide a summary for the following playlist | null | Views: nan, Likes: nan, Comments: nan, Videos: nan | |
null | null | null | null | null | The StatQuest Introduction to PyTorch | 2022-04-25 | 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 time. By the end of this StatQuest, you'll know how to create a new neural network from scratch, make predictions and graph the output, and optimize a parameter usin... | 148,153 | 4,184 | 348 | null | Provide a summary for the following playlist | null | Views: nan, Likes: nan, Comments: nan, Videos: nan | |
null | null | null | null | null | Introduction to Coding Neural Networks with PyTorch and Lightning | 2022-09-19 | 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 code easier, makes it portable to different computing environments and can even find the learning rate for us! TRIPLE BAM!!!!
NOTE: You can download the code her... | 59,891 | 1,459 | 196 | AUieDaYdvnM9bCMy4c8Ux3YOCo_wkp3l_tIRdfY8YCLncdM4 | Provide a summary for the following playlist | null | Views: nan, Likes: nan, Comments: nan, Videos: nan | |
null | null | null | null | null | Long Short-Term Memory with PyTorch + Lightning | 2023-01-24 | 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 that Lightning gives us that make our lives easier: 1) How to add more training epochs without starting over and 2) How to ea... | 59,785 | 1,265 | 181 | AUieDabi52IMrFcVLOt-4qJIN2GmAs51ZyyUPJUQ4orjpbb8 | Provide a summary for the following playlist | null | Views: nan, Likes: nan, Comments: nan, Videos: nan | |
null | null | null | null | null | Word Embedding in PyTorch + Lightning | 2023-11-06 | 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 from scratch and with nn.Linear. We then learn how to load and use pre-trained word embedding values with nn.Embedding.
NO... | 32,388 | 687 | 77 | null | Provide a summary for the following playlist | null | Views: nan, Likes: nan, Comments: nan, Videos: nan | |
null | null | null | null | null | Decision and Classification Trees, Clearly Explained!!! | 2021-04-26 | Decision trees are part of the foundation for Machine Learning. Although they are quite simple, they are very flexible and pop up in a very wide variety of situations. This StatQuest covers all the basics and shows you how to create a new tree from scratch, one step at a time.
NOTE: This is an updated and revised vers... | 702,583 | 14,921 | 741 | null | Provide a summary for the following playlist | null | Views: nan, Likes: nan, Comments: nan, Videos: nan | |
null | null | null | null | null | StatQuest: Decision Trees, Part 2 - Feature Selection and Missing Data | 2018-01-29 | This is just a short follow up to last week's StatQuest where we introduced decision trees. Here we show how decision trees deal with variables that don't improve the tree (feature selection) and how they deal with missing data.
To learn the basics about Decision Trees, see: https://youtu.be/_L39rN6gz7Y
For a complet... | 172,632 | 3,118 | 162 | null | Provide a summary for the following playlist | null | Views: nan, Likes: nan, Comments: nan, Videos: nan | |
null | null | null | null | null | Regression Trees, Clearly Explained!!! | 2019-08-20 | Regression Trees are one of the fundamental machine learning techniques that more complicated methods, like Gradient Boost, are based on. They are useful for times when there isn't an obviously linear relationship between what you want to predict, and the things you are using to make the predictions. This StatQuest wal... | 619,726 | 14,733 | 1,254 | null | Provide a summary for the following playlist | null | Views: nan, Likes: nan, Comments: nan, Videos: nan | |
null | null | null | null | null | How to Prune Regression Trees, Clearly Explained!!! | 2019-11-25 | Pruning Regression Trees is one the most important ways we can prevent them from overfitting the Training Data. This video walks you through Cost Complexity Pruning, aka Weakest Link Pruning, step-by-step so that you can learn how it works and see it in action.
NOTE: This StatQuest assumes you already know about...
Reg... | 218,934 | 4,630 | 530 | null | Provide a summary for the following playlist | null | Views: nan, Likes: nan, Comments: nan, Videos: nan | |
null | null | null | null | null | Classification Trees in Python from Start to Finish | 2020-06-07 | NOTE: You can support StatQuest by purchasing the Jupyter Notebook and Python code seen in this video here: https://statquest.gumroad.com/l/tzxoh
This webinar was recorded 20200528 at 11:00am (New York time).
NOTE: This StatQuest assumes are already familiar with:
Decision Trees: https://youtu.be/7VeUPuFGJHk
Cross Va... | 183,662 | 4,100 | 582 | null | Provide a summary for the following playlist | null | Views: nan, Likes: nan, Comments: nan, Videos: nan |
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