All episodes

The Main Ideas of Fitting a Line to Data (The Main Ideas of Least Squares and Linear Regression.)

RPKM, FPKM and TPM, Clearly Explained!!!

Optimization with Linear Programming (and the Simplex Algorithm), Main Ideas!!!

Boxplots are Awesome!!!

Confidence Intervals, Clearly Explained!!!

The AI Buzz, Episode #4: ChatGPT + Bing and How to start an AI company in 3 easy steps.

The Simplex Algorithm, Mathematical Details!!!

That Dude (in the movies)

The standard error, Clearly Explained!!!

The AI Buzz, Episode #3: Constitutional AI, Emergent Abilities and Foundation Models

Another three (3) more lessons from my Pop!

The GELU, SiLU and SwiGLU activation functions, clearly explained!!!

Lowess and Loess, Clearly Explained!!!

The Main Ideas behind Probability Distributions

Human Stories in AI: Rick Marks

StatQuest: edgeR, part 1, Library Normalization

Human Stories in AI: Achal Dixit

The Rainbow

Human Stories in AI: Khushi Jain

StatQuest: DESeq2, part 1, Library Normalization

Human Stories in AI: Fabio Urbina

Linear Regression, Clearly Explained!!!

Evil Genius

Standard Deviation vs Standard Error, Clearly Explained!!!

Maximum Likelihood, clearly explained!!!

The matrix math behind transformer neural networks, one step at a time!!!

Fisher's Exact Test and the Hypergeometric Distribution

Human Stories in AI: Brian [email protected]

StatQuickie: Which t test to use

Word Embedding in PyTorch + Lightning

Log_e Song - Official Lyric Video

Attention for Neural Networks, Clearly Explained!!!

The Coldest Day of the Year

Mr Hattie

I Love You

StatQuickie: Thresholds for Significance

CatBoost Part 1: Ordered Target Encoding

Word Embedding and Word2Vec, Clearly Explained!!!

StatQuest: edgeR and DESeq2, part 2 - Independent Filtering

Reinforcement Learning: Essential Concepts

Human Stories in AI: Abbas Merchant@Matics Analytics

StatQuickie: Thresholds for Significance

StatQuest: One or Two Tailed P-Values

p-hacking and power calculations

Say Your Goodbyes

A New Song

Human Stories in AI: Xavier Moyá

Reinforcement Learning with Neural Networks: Essential Concepts

The Sum of Regrets

Deal With It

Human Stories in AI: Amy Finnegan

A few more lessons from my Pop!

Reinforcement Learning with Neural Networks: Mathematical Details

Psycho Killer

CatBoost Part 2: Building and Using Trees

Coding a ChatGPT Like Transformer From Scratch in PyTorch

Roses

Rachel's Song (the ballad of Hazel Motes)

Human Stories in AI: Nana Janashia@TechWorld With Nana

Reinforcement Learning with Human Feedback (RLHF), Clearly Explained!!!

What is a (mathematical) model?

Another 3 lessons from my Pop!!!

Sampling from a Distribution, Clearly Explained!!!

Nasty Weather

Drawing and Interpreting Heatmaps

Maybe It'll Go Away

Encoder-Only Transformers (like BERT) for RAG, Clearly Explained!!!

StatQuest: Career Advice from Tech Industry Leaders

StatQuest: Linear Discriminant Analysis (LDA) clearly explained.

Christmas In Rio! (now on iTunes!)

StatQuest with Josh Starmer is live!

StatQuest: Hierarchical Clustering

The Ukulele: Clearly Explained!!!

Another Day

Linear Regression in R, Step-by-Step

How AI works in Super Simple Terms!!!

That's Alright

The Essence of Linear Regression!!!

Sequence-to-Sequence (seq2seq) Encoder-Decoder Neural Networks, Clearly Explained!!!

StatQuest: RNA-seq - the problem with technical replicates

Essential Matrix Algebra for Neural Networks, Clearly Explained!!!

False Discovery Rates, FDR, clearly explained

Principal Component Analysis (PCA) clearly explained (2015)

StatQuest: Random Forests Part 2: Missing data and clustering