StatQuest with Josh Starmer
Statistics, Machine Learning, Data Science, and AI seem like very scary topics, but since each technique is really just a combination of small and simple steps, they are actually quite simple. My goal with StatQuest is to break down the major methodologies into easy-to-understand pieces. That said, I don't dumb down the material. Instead, I build up your understanding so that you are smarter.
Contact, Video Index, Etc: https://statquest.org
StatQuest: Career Advice from Tech Industry Leaders
Reinforcement Learning with Human Feedback (RLHF), Clearly Explained!!!
Reinforcement Learning with Neural Networks: Mathematical Details
Reinforcement Learning with Neural Networks: Essential Concepts
Reinforcement Learning: Essential Concepts
Encoder-Only Transformers (like BERT) for RAG, Clearly Explained!!!
Human Stories in AI: Nana Janashia@TechWorld With Nana
A few more lessons from my Pop!
Human Stories in AI: Abbas Merchant@Matics Analytics
Coding a ChatGPT Like Transformer From Scratch in PyTorch
Human Stories in AI: Amy Finnegan
Human Stories in AI: Xavier Moyá
Human Stories in AI: Tommy Tang
Human Stories in AI: Simon Stochholm
Log_e Song - Official Lyric Video
Human Stories in AI: Brian [email protected]
The matrix math behind transformer neural networks, one step at a time!!!
Human Stories in AI: Fabio Urbina
Human Stories in AI: Khushi Jain
Human Stories in AI: Achal Dixit
Human Stories in AI: Rick Marks
Essential Matrix Algebra for Neural Networks, Clearly Explained!!!
Word Embedding in PyTorch + Lightning
The Golden Play Button, Clearly Explained!!!’
Another 3 lessons from my Pop!!!
Decoder-Only Transformers, ChatGPTs specific Transformer, Clearly Explained!!!
Transformer Neural Networks, ChatGPT's foundation, Clearly Explained!!!
Attention for Neural Networks, Clearly Explained!!!
Sequence-to-Sequence (seq2seq) Encoder-Decoder Neural Networks, Clearly Explained!!!
The Ukulele: Clearly Explained!!!