StatQuest with Josh Starmer
Statistics, Machine Learning, Data Science, and AI seem like very scary topics, but since each technique is really just a ...
@statquest subscribers
The Essential Main Ideas of Neural Networks
5 years ago - 18:54
StatQuest: Principal Component Analysis (PCA), Step-by-Step
8 years ago - 21:58
StatQuest: Logistic Regression
8 years ago - 8:48
ROC and AUC, Clearly Explained!
6 years ago - 16:17
StatQuest: K-means clustering
7 years ago - 8:31
StatQuest: Histograms, Clearly Explained
8 years ago - 3:42
Using Linear Models for t tests and ANOVA, Clearly Explained!!!
3 years ago - 11:38
In Statistics, Probability is not Likelihood.
8 years ago - 5:01
p-values: What they are and how to interpret them
6 years ago - 11:21
XGBoost Part 1 (of 4): Regression
6 years ago - 25:46
StatQuest: Random Forests Part 1 - Building, Using and Evaluating
8 years ago - 9:54
A Gentle Introduction to Machine Learning
7 years ago - 12:45
The StatQuest Introduction to PyTorch
4 years ago - 23:22
StatQuest: PCA main ideas in only 5 minutes!!!
8 years ago - 6:05
R-squared, Clearly Explained!!!
11 years ago - 11:01
Likelihood vs Probability
3 years ago - 0:30
Confidence Intervals, Clearly Explained!!!
10 years ago - 6:42
Bootstrapping Main Ideas!!!
4 years ago - 9:27
Reinforcement Learning: Essential Concepts
1 year ago - 18:13
Machine Learning Fundamentals: Cross Validation
Clustering with DBSCAN, Clearly Explained!!!
4 years ago - 9:30
Recurrent Neural Networks (RNNs), Clearly Explained!!!
3 years ago - 16:37
Machine Learning Fundamentals: Bias and Variance
7 years ago - 6:36
StatQuest: One or Two Tailed P-Values
9 years ago - 7:06
RPKM, FPKM and TPM, Clearly Explained!!!
10 years ago - 10:14
Linear Regression, Clearly Explained!!!
3 years ago - 27:27
Odds and Log(Odds), Clearly Explained!!!
8y ago - 11:31
Transformer Neural Networks, ChatGPT's foundation, Clearly Explained!!!
2y ago - 36:15
Bayes' Theorem, Clearly Explained!!!!
4y ago - 14:00
Hypothesis Testing and The Null Hypothesis, Clearly Explained!!!
5y ago - 14:41
StatQuest: K-nearest neighbors, Clearly Explained
8y ago - 5:30
The standard error, Clearly Explained!!!
11y ago - 11:44
StatQuest: PCA - Practical Tips
8y ago - 8:20
The Chain Rule, Clearly Explained!!!
5 years ago - 18:24
Expected Values, Main Ideas!!!
5 years ago - 13:39
Gradient Descent, Step-by-Step
7 years ago - 23:54
Decision and Classification Trees, Clearly Explained!!!
5 years ago - 18:08
Statistical Power, Clearly Explained!!!
6 years ago - 8:19
Attention for Neural Networks, Clearly Explained!!!
2 years ago - 15:51
Long Short-Term Memory (LSTM), Clearly Explained
3 years ago - 20:45
Tensors for Neural Networks, Clearly Explained!!!
4 years ago - 9:40
Quantile-Quantile Plots (QQ plots), Clearly Explained!!!
8 years ago - 6:56
StatQuest: Hierarchical Clustering
8 years ago - 11:19
Standardized Data
3 years ago - 0:29
Encoder-Only Transformers (like BERT) for RAG, Clearly Explained!!!
1 year ago - 18:52
The Main Ideas behind Probability Distributions
9 years ago - 5:15
Support Vector Machines Part 1 (of 3): Main Ideas!!!
6 years ago - 20:32
Naive Bayes, Clearly Explained!!!
5 years ago - 15:12
Neural Networks Pt. 2: Backpropagation Main Ideas
5 years ago - 17:34