2021 AI week 6 - neural networks

I Didn’t Believe that AI is the Future of Coding. I Was Right.

AI week 6 - neural networks - part 2

Week 5 - Quick recap ML - part 1

CDS 2021 - Week 5 - classification

Locally Weighted & Logistic Regression | Stanford CS229: Machine Learning - Lecture 3 (Autumn 2018)

CDS - Week 1 - part 2 Big data and Hadoop

CDS2021 - word embeddings

ELK Stack Tutorial For Beginners | Elastic Stack Tutorial | DevOps | Intellipaat

Reliability of the Maximum Likelihood (ML) Estimate – Number of Samples Required

Generative AI in a Nutshell - how to survive and thrive in the age of AI

How AI Image Generators Work (Stable Diffusion / Dall-E) - Computerphile

CDS Week 1 - Intro to data science 2021

How “Digital Twins” Could Help Us Predict the Future | Karen Willcox | TED

What is generative AI and how does it work? – The Turing Lectures with Mirella Lapata

State of GPT | BRK216HFS

If you can solve this, you can be an engineer.

Week 5 - intro: AI history

Stanford CS224N: NLP with Deep Learning | Winter 2021 | Lecture 1 - Intro & Word Vectors