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281 видео
Design Matrices For Linear Models, Clearly Explained!!!
Tensors for Neural Networks, Clearly Explained!!!
p-values: What they are and how to interpret them
The Normal Distribution, Clearly Explained!!!
StatQuest: Decision Trees, Part 2 - Feature Selection and Missing Data
Support Vector Machines in Python from Start to Finish.
The Essential Main Ideas of Neural Networks
Logs (logarithms), Clearly Explained!!!
The Golden Play Button, Clearly Explained!!!’
What is AutoML? A conversation with Gnosis Data Analysis
Linear Regression, Clearly Explained!!!
Neural Networks Part 8: Image Classification with Convolutional Neural Networks (CNNs)
The AI Buzz, Episode #5: A new wave of AI-based products and the resurgence of personal applications
The Binomial Distribution and Test, Clearly Explained!!!
R-squared, Clearly Explained!!!
Word Embedding and Word2Vec, Clearly Explained!!!
AdaBoost, Clearly Explained
The Central Limit Theorem, Clearly Explained!!!
Multiple Regression in R, Step-by-Step!!!
Support Vector Machines Part 3: The Radial (RBF) Kernel (Part 3 of 3)
StatQuest: K-nearest neighbors, Clearly Explained
Human Stories in AI: Tommy Tang
Regularization Part 2: Lasso (L1) Regression
Human Stories in AI: Achal Dixit
What is a Logit?
The Main Ideas behind Probability Distributions
Odds and Log(Odds), Clearly Explained!!!
Long Short-Term Memory (LSTM), Clearly Explained
Logistic vs Logit Functions
Human Stories in AI: Khushi Jain
Decision and Classification Trees, Clearly Explained!!!
Maximum Likelihood For the Normal Distribution, step-by-step!!!
Human Stories in AI: Rick Marks
Standardized Data
CatBoost Part 1: Ordered Target Encoding
Human Stories in AI: Fabio Urbina
Human Stories in AI: Simon Stochholm
Luis Serrano + Jay Alammar + Josh Starmer Q&A Livestream!!!
Human Stories in AI: Xavier Moyá
Essential Matrix Algebra for Neural Networks, Clearly Explained!!!
Design Matrix Examples in R, Clearly Explained!!!
Long Short-Term Memory with PyTorch + Lightning
CatBoost Part 2: Building and Using Trees
Likelihood vs Probability
p-values
Matrix Multiplication
Type 2 Errors
One-Hot, Label, Target and K-Fold Target Encoding, Clearly Explained!!!
The AI Buzz, Episode #1: ChatGPT, Transformers and Attention
Type 1 Errors
