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56,953 results

StatQuest with Josh Starmer
A Gentle Introduction to Machine Learning

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

12:45
A Gentle Introduction to Machine Learning

1,621,430 views

7 years ago

StatQuest with Josh Starmer
Machine Learning Fundamentals: Bias and Variance

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

6:36
Machine Learning Fundamentals: Bias and Variance

1,742,541 views

7 years ago

StatQuest with Josh Starmer
Decision and Classification Trees, Clearly Explained!!!

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

18:08
Decision and Classification Trees, Clearly Explained!!!

1,277,533 views

5 years ago

StatQuest with Josh Starmer
Machine Learning Fundamentals: Cross Validation

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

6:05
Machine Learning Fundamentals: Cross Validation

1,484,258 views

8 years ago

StatQuest with Josh Starmer
Machine Learning Fundamentals: The Confusion Matrix

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

7:13
Machine Learning Fundamentals: The Confusion Matrix

969,089 views

7 years ago

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

1,402,874 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

1,835,381 views

7 years ago

StatQuest with Josh Starmer
StatQuest: Logistic Regression

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

8:48
StatQuest: Logistic Regression

2,779,837 views

8 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

12,517 views

Streamed 6 years ago

StatQuest with Josh Starmer
The Essential Main Ideas of Neural Networks

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

18:54
The Essential Main Ideas of Neural Networks

1,402,686 views

5 years ago

StatQuest with Josh Starmer
Machine Learning Fundamentals: Sensitivity and Specificity

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

11:47
Machine Learning Fundamentals: Sensitivity and Specificity

494,410 views

6 years ago

Infinite Codes
All Machine Learning algorithms explained in 17 min

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

16:30
All Machine Learning algorithms explained in 17 min

2,149,812 views

1 year ago

StatQuest with Josh Starmer
ROC and AUC, Clearly Explained!

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

16:17
ROC and AUC, Clearly Explained!

1,962,082 views

7 years ago

StatQuest with Josh Starmer
Neural Networks Pt. 2: Backpropagation Main Ideas

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

17:34
Neural Networks Pt. 2: Backpropagation Main Ideas

795,886 views

5 years ago

StatQuest with Josh Starmer
Regularization Part 2: Lasso (L1) Regression

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

8:19
Regularization Part 2: Lasso (L1) Regression

717,836 views

7 years ago

StatQuest with Josh Starmer
StatQuest: K-means clustering

K-means clustering is used in all kinds of situations and it's crazy simple. The R code is on the StatQuest GitHub: ...

8:30
StatQuest: K-means clustering

2,204,295 views

8 years ago

StatQuest with Josh Starmer
StatQuest: K-nearest neighbors, Clearly Explained

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

5:30
StatQuest: K-nearest neighbors, Clearly Explained

808,827 views

9 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

894,156 views

6 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!!!

1,778,419 views

6 years ago

StatQuest with Josh Starmer
The StatQuest Illustrated Guide To Machine Learning, Theme Song!!!

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

0:15
The StatQuest Illustrated Guide To Machine Learning, Theme Song!!!

34,509 views

4 years ago