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281 видео
Design Matrices For Linear Models, Clearly Explained!!!
Quantile-Quantile Plots (QQ plots), Clearly Explained!!!
Three more lessons from my Pop!!!
ROC and AUC in R
Sequence-to-Sequence (seq2seq) Encoder-Decoder Neural Networks, Clearly Explained!!!
Standard Deviation vs Standard Error, Clearly Explained!!!
Word Embedding in PyTorch + Lightning
StatQuest: RNA-seq - the problem with technical replicates
The standard error, Clearly Explained!!!
What is a (mathematical) model?
StatQuest: Logistic Regression
Calculating the Mean, Variance and Standard Deviation, Clearly Explained!!!
The Chain Rule
Hypothesis Testing and The Null Hypothesis, Clearly Explained!!!
Ridge vs Lasso Regression, Visualized!!!
Attention for Neural Networks, Clearly Explained!!!
Multiple Regression, Clearly Explained!!!
Another 3 lessons from my Pop!!!
Bootstrapping Main Ideas!!!
Human Stories in AI: Abbas Merchant@Matics Analytics
The mean, the median, and the mode.
Multiple Regression in R, Step by Step!!!
Live Stream - More details about Target Encoding/AMA/Silly Songs
A Gentle Introduction to Machine Learning
Log_e Song - Official Lyric Video
Neural Networks Pt. 2: Backpropagation Main Ideas
Human Stories in AI: Amy Finnegan
Coding a ChatGPT Like Transformer From Scratch in PyTorch
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
