Foundations

ML Fundamentals

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

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ML Maths Basics
beginner
Manipulate vectors and matrices
Supervised Learning
beginner
Train decision trees, random forests, and neural nets
Unsupervised Learning
intermediate
Apply k-means and DBSCAN clustering
ML Pipelines
intermediate
Engineer features and handle missing data
Machine learning assisted hyper-heuristics for online combinatorial optimization problems
ML Fundamentals
Machine learning assisted hyper-heuristics for online combinatorial optimization problems
Microsoft Research Advanced 3y ago
Accelerate PyTorch Training on Mac Platforms Using MPS Backend: Partner Talk at PT Conf. 2022
ML Fundamentals
Accelerate PyTorch Training on Mac Platforms Using MPS Backend: Partner Talk at PT Conf. 2022
PyTorch Advanced 3y ago
Model Preparation Federated Learning and Device Computation
ML Fundamentals
Model Preparation Federated Learning and Device Computation
PyTorch Advanced 3y ago
Maintaining a supportive developer community: Ahmed’s story as a GDSC Lead in Egypt
ML Fundamentals
Maintaining a supportive developer community: Ahmed’s story as a GDSC Lead in Egypt
Google for Developers Advanced 3y ago
Curse of Dimensionality - EXPLAINED!
ML Fundamentals ⚡ AI Lesson
Curse of Dimensionality - EXPLAINED!
CodeEmporium Advanced 3y ago
An Interview With D. Sculley For Gradient Dissent
ML Fundamentals
An Interview With D. Sculley For Gradient Dissent
Weights & Biases Advanced 3y ago
10 Years of Impact - Oxford Impact Investing Programme
ML Fundamentals
10 Years of Impact - Oxford Impact Investing Programme
Saïd Business School, University of Oxford Advanced 3y ago
Regularization - Explained!
ML Fundamentals ⚡ AI Lesson
Regularization - Explained!
CodeEmporium Advanced 3y ago
Google A.I. Diffusion Image Editing w/ Prompt to Prompt
ML Fundamentals ⚡ AI Lesson
Google A.I. Diffusion Image Editing w/ Prompt to Prompt
sentdex Advanced 3y ago
Panel discussion and research talk: Computational advances in climate risk assessment
ML Fundamentals
Panel discussion and research talk: Computational advances in climate risk assessment
Microsoft Research Advanced 3y ago
The Wrong Batch Size Will Ruin Your Model
ML Fundamentals
The Wrong Batch Size Will Ruin Your Model
Underfitted Advanced 3y ago
Contrastive Learning in PyTorch - Part 2: CL on Point Clouds
ML Fundamentals ⚡ AI Lesson
Contrastive Learning in PyTorch - Part 2: CL on Point Clouds
DeepFindr Advanced 3y ago
If You Give a Mouse (two) Loss Functions : Multi Objective Optimization
ML Fundamentals
If You Give a Mouse (two) Loss Functions : Multi Objective Optimization
ritvikmath Advanced 3y ago
The Future of User Interfaces with A.I.
ML Fundamentals
The Future of User Interfaces with A.I.
sentdex Advanced 3y ago
NVIDIA GET3D: AI Model to Populate Virtual Worlds with 3D Objects and Characters
ML Fundamentals
NVIDIA GET3D: AI Model to Populate Virtual Worlds with 3D Objects and Characters
NVIDIA Developer Advanced 3y ago
Variational Autoencoder from scratch in PyTorch
ML Fundamentals
Variational Autoencoder from scratch in PyTorch
Aladdin Persson Advanced 3y ago
The Road Ahead: Google's Comprehensive Platform for Open Source Machine Learning
ML Fundamentals ⚡ AI Lesson
The Road Ahead: Google's Comprehensive Platform for Open Source Machine Learning
TensorFlow Advanced 3y ago
Productionizing Machine Learning Models at Scale with Kubernetes
ML Fundamentals ⚡ AI Lesson
Productionizing Machine Learning Models at Scale with Kubernetes
The TWIML AI Podcast with Sam Charrington Advanced 3y ago
NVIDIA RecSys Summit 2022 - China Day
ML Fundamentals
NVIDIA RecSys Summit 2022 - China Day
NVIDIA Developer Advanced 3y ago
Model Quantization for Edge Devices with AIMET
ML Fundamentals ⚡ AI Lesson
Model Quantization for Edge Devices with AIMET
The TWIML AI Podcast with Sam Charrington Advanced 3y ago
Active Learning. The Secret of Training Models Without Labels.
ML Fundamentals
Active Learning. The Secret of Training Models Without Labels.
Underfitted Advanced 3y ago
Designing Machine Learning Systems | book summary | Read a book with me
ML Fundamentals
Designing Machine Learning Systems | book summary | Read a book with me
Sophia Yang Advanced 3y ago
Deploy a custom Machine Learning model to mobile
ML Fundamentals ⚡ AI Lesson
Deploy a custom Machine Learning model to mobile
TensorFlow Advanced 3y ago
Why leaders come on the Oxford High Performance Leadership Programme
ML Fundamentals
Why leaders come on the Oxford High Performance Leadership Programme
Saïd Business School, University of Oxford Advanced 3y ago
Andrew Brock on Generative Models and His Journey to AI Research
ML Fundamentals
Andrew Brock on Generative Models and His Journey to AI Research
HuggingFace Advanced 4y ago
Machine Learning bias example
ML Fundamentals
Machine Learning bias example
HuggingFace Advanced 4y ago
Coding PCA from Scratch : Data Science Code
ML Fundamentals
Coding PCA from Scratch : Data Science Code
ritvikmath Advanced 4y ago
Breaking Linear Regression
ML Fundamentals ⚡ AI Lesson
Breaking Linear Regression
CodeEmporium Advanced 3y ago
Plenary: The fifth paradigm of scientific discovery [ASL version]
ML Fundamentals ⚡ AI Lesson
Plenary: The fifth paradigm of scientific discovery [ASL version]
Microsoft Research Advanced 3y ago
Plenary: The fifth paradigm of scientific discovery
ML Fundamentals ⚡ AI Lesson
Plenary: The fifth paradigm of scientific discovery
Microsoft Research Advanced 3y ago
Probability for Machine Learning!
ML Fundamentals ⚡ AI Lesson
Probability for Machine Learning!
CodeEmporium Advanced 3y ago
Discrete & Continuous random variables
ML Fundamentals ⚡ AI Lesson
Discrete & Continuous random variables
CodeEmporium Advanced 3y ago
Creating Stable Diffusion Interpolation Videos
ML Fundamentals
Creating Stable Diffusion Interpolation Videos
sentdex Advanced 3y ago
Equivariant Priors for Compressed Sensing with Arash Behboodi - #584
ML Fundamentals ⚡ AI Lesson
Equivariant Priors for Compressed Sensing with Arash Behboodi - #584
The TWIML AI Podcast with Sam Charrington Advanced 3y ago
At the Frontiers of Science: Exciting Advances in Protein Design
ML Fundamentals
At the Frontiers of Science: Exciting Advances in Protein Design
Microsoft Research Advanced 3y ago
The Rise of DeBERTa for NLP Downstream Tasks | Grandmaster Series E7
ML Fundamentals
The Rise of DeBERTa for NLP Downstream Tasks | Grandmaster Series E7
NVIDIA Developer Advanced 3y ago
An introduction to MLOps with TensorFlow Extended (TFX)
ML Fundamentals ⚡ AI Lesson
An introduction to MLOps with TensorFlow Extended (TFX)
TensorFlow Advanced 3y ago
Oxford High Performance Leadership Programme - Karen Chan
ML Fundamentals
Oxford High Performance Leadership Programme - Karen Chan
Saïd Business School, University of Oxford Advanced 3y ago
Oxford High Performance Leadership - Susanna Pertl
ML Fundamentals
Oxford High Performance Leadership - Susanna Pertl
Saïd Business School, University of Oxford Advanced 3y ago
Oxford High Performance Leadership - Chris Hill
ML Fundamentals
Oxford High Performance Leadership - Chris Hill
Saïd Business School, University of Oxford Advanced 3y ago
Python Plays GTA V: Reboot - Announcement
ML Fundamentals
Python Plays GTA V: Reboot - Announcement
sentdex Advanced 3y ago
Modern Medical Image Segmentation, AutoML, and Beyond
ML Fundamentals ⚡ AI Lesson
Modern Medical Image Segmentation, AutoML, and Beyond
NVIDIA Developer Advanced 4y ago
Meg's realization of the importance of Ethical AI
ML Fundamentals
Meg's realization of the importance of Ethical AI
HuggingFace Advanced 4y ago
Advice for Women in AI/Machine Learning
ML Fundamentals
Advice for Women in AI/Machine Learning
HuggingFace Advanced 4y ago
Hello Sionna! A Demo of The First Open Source Library for Physical Layer Research
ML Fundamentals
Hello Sionna! A Demo of The First Open Source Library for Physical Layer Research
NVIDIA Developer Advanced 4y ago
Full-Stack AI Systems Development with Murali Akula - #563
ML Fundamentals ⚡ AI Lesson
Full-Stack AI Systems Development with Murali Akula - #563
The TWIML AI Podcast with Sam Charrington Advanced 4y ago
Research talk: Maia Chess: A human-like neural network chess engine
ML Fundamentals ⚡ AI Lesson
Research talk: Maia Chess: A human-like neural network chess engine
Microsoft Research Advanced 4y ago
Research talk: Torchy: A tracing JIT compiler for PyTorch
ML Fundamentals
Research talk: Torchy: A tracing JIT compiler for PyTorch
Microsoft Research Advanced 4y ago
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Infraestrutura de IA: Cloud TPUs
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Infraestrutura de IA: Cloud TPUs
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Image Classification with Keras: Build & Optimize
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Image Classification with Keras: Build & Optimize
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Algorithm Alchemy: Unlocking the Secrets of Machine Learning
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Algorithm Alchemy: Unlocking the Secrets of Machine Learning
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Machine Learning for Computer Vision
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Machine Learning for Computer Vision
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Image Captioning with TensorFlow & Streamlit
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Self-paced
Image Captioning with TensorFlow & Streamlit
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Deep Learning for Real Estate Price Prediction
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Deep Learning for Real Estate Price Prediction
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