📐 ML Fundamentals

Neural networks, backpropagation, gradient descent — the maths behind AI

ML Fundamentals

Multi Armed Bandits - Reinforcement Learning Explained!

CodeEmporium Advanced 2y ago

ML Fundamentals

Elements of Reinforcement Learning

CodeEmporium Advanced 2y ago

ML Fundamentals

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

The TWIML AI Podcast with Sam Charrington Advanced 2y ago

ML Fundamentals

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

Stanford Online Advanced 2y ago

ML Fundamentals

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

MLOps.community Advanced 2y ago

ML Fundamentals

How to Hack an AI

SANS Institute Advanced 2y ago

ML Fundamentals

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

Google Cloud Advanced 2y ago

ML Fundamentals

A pretty reason why Gaussian + Gaussian = Gaussian

3Blue1Brown Advanced 2y ago

ML Fundamentals

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

Saïd Business School, University of Oxford Advanced 2y ago

ML Fundamentals

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

Discover AI Advanced 2y ago

ML Fundamentals

Stanford Seminar - Control-Oriented Learning for Dynamical Systems

Stanford Online Advanced 2y ago

ML Fundamentals

PyTorch New York Meetup - June 2023

PyTorch Advanced 2y ago

ML Fundamentals

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

Analytics Vidhya Advanced 2y ago

ML Fundamentals

Deep Learning for Computer Vision with Python and TensorFlow – Complete Course

freeCodeCamp.org Advanced 2y ago

ML Fundamentals

Sloth or Pastry? Using PyTorch and Deep Learning for Image Classification

DataCamp Advanced 2y ago

ML Fundamentals

The importance of hyperparameter optimization

The TWIML AI Podcast with Sam Charrington Advanced 2y ago

ML Fundamentals

ML Evolution & Recurring Themes // Waleed Kadous // MLOps Podcast # 155 short clip

MLOps.community Advanced 2y ago

ML Fundamentals

The secret sauce to creating amazing ML experiences for developers

TensorFlow Advanced 3y ago

ML Fundamentals

Image Editing A.I.

sentdex Advanced 3y ago

ML Fundamentals

6.1: Using models from Python in the web browser with TensorFlow.js

Google for Developers Advanced 3y ago

ML Fundamentals

Ready for the Mathematics for Machine Learning and Data Science Specialization? 🚀

DeepLearningAI Advanced 3y ago

ML Fundamentals

3.6.2: Using advanced pre-trained Web ML models - Part 2: Use MoveNet for pose estimation in browser

Google for Developers Advanced 3y ago

ML Fundamentals

MSR-IISc AI Seminar Series: On Learning-Aware Mechanism Design - Michael I. Jordan

Microsoft Research Advanced 3y ago

ML Fundamentals

Food for Diffusion

HuggingFace Advanced 3y ago

ML Fundamentals

Understanding and Avoiding Data Leakage with Hamel Husain

Weights & Biases Advanced 3y ago

ML Fundamentals

Pythae: Unifying Generative Autoencoder Implementations in PyTorch

PyTorch Advanced 3y ago

ML Fundamentals

Machine Learning for Combinatorial Optimization: Some Empirical Studies

Microsoft Research Advanced 3y ago

ML Fundamentals

ChatGPT: Zero to Hero

CodeEmporium Advanced 2y ago

ML Fundamentals

Sentence Embeddings - EXPLAINED!

CodeEmporium Advanced 2y ago

ML Fundamentals

Word2Vec, GloVe, FastText- EXPLAINED!

CodeEmporium Advanced 2y ago

ML Fundamentals

Stanford Seminar - A Picture of the Prediction Space of Deep Networks

Stanford Online Advanced 2y ago

ML Fundamentals

Stanford Seminar - Human-AI Interaction Under Societal Disagreement

Stanford Online Advanced 2y ago

ML Fundamentals

Stanford Seminar - Connecting Robotics and Foundation Models, Brian Ichter of Google DeepMind

Stanford Online Advanced 2y ago

ML Fundamentals

Stanford CS330 I Advanced Meta-Learning 2: Large-Scale Meta-Optimization l 2022 I Lecture 10

Stanford Online Advanced 3y ago

ML Fundamentals

Sentence Tokenization in Transformer Code from scratch!

CodeEmporium Advanced 3y ago

ML Fundamentals

Blowing up Transformer Decoder architecture

CodeEmporium Advanced 3y ago

ML Fundamentals

Blowing up the Transformer Encoder!

CodeEmporium Advanced 3y ago

ML Fundamentals

Layer Normalization - EXPLAINED (in Transformer Neural Networks)

CodeEmporium Advanced 3y ago

ML Fundamentals

Positional Encoding in Transformer Neural Networks Explained

CodeEmporium Advanced 3y ago

ML Fundamentals

GPT - Explained!

CodeEmporium Advanced 3y ago

ML Fundamentals

What does GPT in ChatGPT do?

CodeEmporium Advanced 3y ago

ML Fundamentals

1.3: Breakdown of WebML course

Google for Developers Advanced 3y ago

ML Fundamentals

How web developers can use machine learning

Google for Developers Advanced 3y ago

ML Fundamentals

ChatGPT and Reinforcement Learning

CodeEmporium Advanced 3y ago

ML Fundamentals

Chat GPT Rewards Model Explained!

CodeEmporium Advanced 3y ago

ML Fundamentals

Machine learning assisted hyper-heuristics for online combinatorial optimization problems

Microsoft Research Advanced 3y ago

ML Fundamentals

Accelerate PyTorch Training on Mac Platforms Using MPS Backend: Partner Talk at PT Conf. 2022

PyTorch Advanced 3y ago

ML Fundamentals

Model Preparation Federated Learning and Device Computation

PyTorch Advanced 3y ago

📚 Coursera Courses Opens on Coursera · Free to audit

← 1 / 3 → View all →

📚 Coursera Course ↗

Self-paced

Modeling in AWS

Opens on Coursera ↗

📚 Coursera Course ↗

Self-paced

Unsupervised Machine Learning

Opens on Coursera ↗

📚 Coursera Course ↗

Self-paced

Harden AI: Secure Your ML Pipelines

Opens on Coursera ↗

📚 Coursera Course ↗

Self-paced

Custom and Distributed Training with TensorFlow

Opens on Coursera ↗

📚 Coursera Course ↗

Self-paced

Differential Equations Part I Basic Theory

Opens on Coursera ↗

📚 Coursera Course ↗

Self-paced

Apache Spark with Scala – Hands-On with Big Data!

Opens on Coursera ↗

📚 Coursera Course ↗

Self-paced

AWS Artificial Intelligence Practitioner

Opens on Coursera ↗

📚 Coursera Course ↗

Self-paced

Neural Networks and Deep Learning

Opens on Coursera ↗

📚 Coursera Course ↗

Self-paced

Algorithmic Thinking (Part 1)

Opens on Coursera ↗

📚 Coursera Course ↗

Self-paced

Essential Causal Inference Techniques for Data Science

Opens on Coursera ↗

📚 Coursera Course ↗

Self-paced

Introduction to Portfolio Construction and Analysis with Python

Opens on Coursera ↗

📚 Coursera Course ↗

Self-paced

Artificial Intelligence Privacy and Convenience

Opens on Coursera ↗

📚 Coursera Course ↗

Self-paced

Advanced ML Algorithms & Unsupervised Learning

Opens on Coursera ↗

📚 Coursera Course ↗

Self-paced

AI Workflow: Business Priorities and Data Ingestion

Opens on Coursera ↗

📚 Coursera Course ↗

Self-paced

NVIDIA: Fundamentals of Machine Learning

Opens on Coursera ↗

📚 Coursera Course ↗

Self-paced

Automate, Validate, and Promote ML Models Safely

Opens on Coursera ↗

📚 Coursera Course ↗

Self-paced

Advanced PyTorch Techniques and Applications

Opens on Coursera ↗

📚 Coursera Course ↗

Self-paced

Calculus through Data & Modelling: Integration Applications

Opens on Coursera ↗