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53,462 results

StatQuest with Josh Starmer
Regularization Part 1: Ridge (L2) Regression

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

20:27
Regularization Part 1: Ridge (L2) Regression

1,410,276 views

7 years ago

StatQuest with Josh Starmer
Gradient Descent, Step-by-Step

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

23:54
Gradient Descent, Step-by-Step

1,845,538 views

7 years ago

StatQuest with Josh Starmer
Support Vector Machines Part 1 (of 3): Main Ideas!!!

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

20:32
Support Vector Machines Part 1 (of 3): Main Ideas!!!

1,787,955 views

6 years ago

StatQuest with Josh Starmer
Live 2020-01-20!!! Favorite ML, Data Leakage, How to Learn ML

... Comment #1 - What is your favorite machine learning algorithm 4:40 Comment #2 - What is data leakage in machine learning?

25:42
Live 2020-01-20!!! Favorite ML, Data Leakage, How to Learn ML

12,573 views

Streamed 6 years ago

StatQuest with Josh Starmer
XGBoost Part 1 (of 4): Regression

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

25:46
XGBoost Part 1 (of 4): Regression

901,734 views

6 years ago

StatQuest with Josh Starmer
Linear Regression, Clearly Explained!!!

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

27:27
Linear Regression, Clearly Explained!!!

700,772 views

3 years ago

StatQuest with Josh Starmer
Transformer Neural Networks, ChatGPT's foundation, Clearly Explained!!!

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

36:15
Transformer Neural Networks, ChatGPT's foundation, Clearly Explained!!!

1,177,710 views

3 years ago

freeCodeCamp.org and Kylie Ying
Machine Learning for Everybody – Full Course

Learn Machine Learning in a way that is accessible to absolute beginners. You will learn the basics of Machine Learning and how ...

3:53:53
Machine Learning for Everybody – Full Course

10,417,496 views

3 years ago

StatQuest with Josh Starmer
StatQuest: Principal Component Analysis (PCA), Step-by-Step

Principal Component Analysis, is one of the most useful data analysis and machine learning methods out there. It can be used to ...

21:58
StatQuest: Principal Component Analysis (PCA), Step-by-Step

3,692,218 views

8 years ago

StatQuest with Josh Starmer
The Essence of Linear Regression!!!

This StatQuest takes you through basic linear regression, step-by-step, explaining both the method and the motivation behind the ...

32:01
The Essence of Linear Regression!!!

45,948 views

3 months ago

StatQuest with Josh Starmer
AdaBoost, Clearly Explained

AdaBoost is one of those machine learning methods that seems so much more confusing than it really is. It's really just a simple ...

20:54
AdaBoost, Clearly Explained

955,851 views

7 years ago

StatQuest with Josh Starmer
Regression Trees, Clearly Explained!!!

Regression Trees are one of the fundamental machine learning techniques that more complicated methods, like Gradient Boost, ...

22:33
Regression Trees, Clearly Explained!!!

835,551 views

7 years ago

AI For Beginners
All Machine Learning Models Clearly Explained!

ml #machinelearning #ai #artificialintelligence #datascience #regression #classification In this video, we explain every major ...

22:23
All Machine Learning Models Clearly Explained!

503,104 views

1 year ago

Krish Naik
Complete Machine Learning In 6 Hours| Krish Naik

All the materials are available in the below link ...

6:37:52
Complete Machine Learning In 6 Hours| Krish Naik

2,160,163 views

4 years ago

StatQuest with Josh Starmer
How AI works in Super Simple Terms!!!

In this StatQuest we explain how AI, like ChatGPT, works. However, instead of using lots of complicated math, we're going to use a ...

22:51
How AI works in Super Simple Terms!!!

37,422 views

7 months ago

StatQuest with Josh Starmer
Linear Regression, Clearly Explained!!!

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

27:27
Linear Regression, Clearly Explained!!!

1,581,798 views

9 years ago

StatQuest with Josh Starmer
Gradient Boost Part 2 (of 4): Regression Details

Gradient Boost is one of the most popular Machine Learning algorithms in use. And get this, it's not that complicated! This video is ...

26:46
Gradient Boost Part 2 (of 4): Regression Details

373,791 views

7 years ago

3Blue1Brown
Gradient descent, how neural networks learn | Deep Learning Chapter 2

... Welch Labs also has some great series on machine learning: https://youtu.be/i8D90DkCLhI https://youtu.be/bxe2T-V8XRs "But ...

20:33
Gradient descent, how neural networks learn | Deep Learning Chapter 2

9,503,265 views

8 years ago

StatQuest with Josh Starmer
Gradient Boost Part 4 (of 4): Classification Details

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, ...

37:00
Gradient Boost Part 4 (of 4): Classification Details

159,805 views

7 years ago

StatQuest with Josh Starmer
Long Short-Term Memory (LSTM), Clearly Explained

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

20:45
Long Short-Term Memory (LSTM), Clearly Explained

1,026,239 views

3 years ago