ML Fundamentals

In this Mass Layoff Becoming Recession proof-Is it Possible??

I waterproofed myself with aerogel!

Kernel Density Estimation : Data Science Concepts

Loss functions in Neural Networks - EXPLAINED!

Google Machine Learning Bootcamp Korea 2023 Recap

Nightshade: Data Poisoning to Fight Generative AI with Ben Zhao - 668

Optimizers in Neural Networks - EXPLAINED!

The Myth of AI Breakthroughs // Jonathan Frankle // MLOps Podcast #205

Definition of a "bit", in information theory

The limit of limiting arguments

Different Text Summarization Techniques Using Langchain #generativeai

INFINITE Inference Power for AI

Shreya Shankar: Continual training pipeline

Detecting Fraud in Financial Services Using AI Inference

Scaling MLOps for Computer Vision // MLOps Mini Summit Meetup #4

Stanford - How Do We Make Human-Centered AI for Mental Health Prediction in Social Media Data?

Metaflow for distributed high-performance computing and large-scale AI training

Build high performance & cost-effective ML apps using Amazon SageMaker- AWS Virtual Workshop

Algorithmic Trading – Machine Learning & Quant Strategies Course with Python

Lightning Talk: Uplink Interference Optimizer, How to Optimize a Cellular Network...- Oscar Gonzalez

Why Deep Networks and Brains Learn Similar Features with Sophia Sanborn - 644

Stanford XCS224U I Analysis NLU, Pt 4: Casual Abstraction & Interchange Intervention Training (IIT)

How to Hack an AI

The secret to Accelerate #ML and #GenerativeAI: ML Developer Tools from Weights & Biases.

Day in the life of Oxford Advanced Management & Leadership Programme - June 2023

In-Context Learning Over Graphs for LLMs: PRODIGY (Stanford)

PyTorch New York Meetup - June 2023

Hugging Face: Fine-Tune NLP Pipeline for Question Answering | Transformers & Attention Mechanism

Activation functions in neural networks

Backpropagation in Neural Networks - EXPLAINED!

Building your first Neural Network

Reinforcement Learning through Human Feedback - EXPLAINED! | RLHF

Proximal Policy Optimization | ChatGPT uses this

Deep Q-Networks Explained!

Monte Carlo in Reinforcement Learning

Reinforcement Learning: on-policy vs off-policy algorithms

Q-learning - Explained!

Foundation of Q-learning | Temporal Difference Learning explained!

Bellman Equation - Explained!

How to solve problems with Reinforcement Learning | Markov Decision Process

Multi Armed Bandits - Reinforcement Learning Explained!

Elements of Reinforcement Learning

ChatGPT: Zero to Hero

Sentence Embeddings - EXPLAINED!

Designing Human in the Loop Experiences for LLMs // Alberto Rizzoli // LLMs in Prod Con Part 2

A pretty reason why Gaussian + Gaussian = Gaussian

Stanford Seminar - Control-Oriented Learning for Dynamical Systems

Word2Vec, GloVe, FastText- EXPLAINED!