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
Primary Visual Cortex: How brain processes what we see
ML Fundamentals ⚡ AI Lesson
Primary Visual Cortex: How brain processes what we see
CodeEmporium Advanced 1y ago
Jeremy Bernstein - Depths of First Order Optimization
ML Fundamentals
Jeremy Bernstein - Depths of First Order Optimization
Cohere Advanced 1y ago
Receptive Fields - Explained
ML Fundamentals ⚡ AI Lesson
Receptive Fields - Explained
CodeEmporium Advanced 1y ago
Unitree G1 LiDAR, SLAM, navigation and control. Dev w/ G1 Humanoid P.2
ML Fundamentals ⚡ AI Lesson
Unitree G1 LiDAR, SLAM, navigation and control. Dev w/ G1 Humanoid P.2
Sentdex Advanced 1y ago
A Fever Dream of Machine Learning Framework Composability
ML Fundamentals ⚡ AI Lesson
A Fever Dream of Machine Learning Framework Composability
Microsoft Research Advanced 1y ago
Unboxing the Unitree G1 Edu Humanoid
ML Fundamentals ⚡ AI Lesson
Unboxing the Unitree G1 Edu Humanoid
Sentdex Advanced 1y ago
Charles H  Martin  - WeightWatcher  DataFree Diagnostics for Deep Learning
ML Fundamentals
Charles H Martin - WeightWatcher DataFree Diagnostics for Deep Learning
Cohere Advanced 1y ago
#297 The Past and Future of Language Models | Andriy Burkov, Author of The Hundred-Page ML Book
ML Fundamentals ⚡ AI Lesson
#297 The Past and Future of Language Models | Andriy Burkov, Author of The Hundred-Page ML Book
DataCamp Advanced 1y ago
What Does Effective Checkpointing Mean for Streaming Workloads?
ML Fundamentals ⚡ AI Lesson
What Does Effective Checkpointing Mean for Streaming Workloads?
MLOps.community Advanced 1y ago
The Most Affordable Bootcamp On Computer Vision With Pytorch And Tensorflow
ML Fundamentals
The Most Affordable Bootcamp On Computer Vision With Pytorch And Tensorflow
Krish Naik Advanced 1y ago
Why choose the Oxford Real Estate Programme?
ML Fundamentals
Why choose the Oxford Real Estate Programme?
Saïd Business School, University of Oxford Advanced 1y ago
🚀 Ultimate AI GPU Comparison Tool - Which GPU is Right for You? 🔍
ML Fundamentals ⚡ AI Lesson
🚀 Ultimate AI GPU Comparison Tool - Which GPU is Right for You? 🔍
TheDataDaddi Advanced 1y ago
Accelerating Mixture of Experts Training With Rail Optimized InfiniBand Networking in Crusoe Cloud
ML Fundamentals ⚡ AI Lesson
Accelerating Mixture of Experts Training With Rail Optimized InfiniBand Networking in Crusoe Cloud
AI Engineer Advanced 1y ago
AI is Coming for Your Toaster
ML Fundamentals ⚡ AI Lesson
AI is Coming for Your Toaster
MLOps.community Advanced 1y ago
Activate GROKKING NOW - Performance Phase of LLMs (II)
ML Fundamentals
Activate GROKKING NOW - Performance Phase of LLMs (II)
Discover AI Advanced 1y ago
Gemma Scope demo with Neuronpedia
ML Fundamentals
Gemma Scope demo with Neuronpedia
Google for Developers Advanced 1y ago
Become a GENAI Expert and Get HIRED!! #generativeai
ML Fundamentals
Become a GENAI Expert and Get HIRED!! #generativeai
Analytics Vidhya Advanced 1y ago
Navigating the Data Science Job Market with the University of Leeds
ML Fundamentals
Navigating the Data Science Job Market with the University of Leeds
Coursera Advanced 1y ago
Neil Lawrence | The Atomic Human: What Makes Us Unique in the Age of AI | Talks at Google
ML Fundamentals
Neil Lawrence | The Atomic Human: What Makes Us Unique in the Age of AI | Talks at Google
Talks at Google Advanced 1y ago
Lightning Talk: Mobile Computational Photography with PyTorch: Low-Light Denoising - Alexis Baudron
ML Fundamentals
Lightning Talk: Mobile Computational Photography with PyTorch: Low-Light Denoising - Alexis Baudron
PyTorch Advanced 1y ago
[TRITON] Maximizing Kernel Development Productivity Under Performance Constraints - Philip Tillet
ML Fundamentals
[TRITON] Maximizing Kernel Development Productivity Under Performance Constraints - Philip Tillet
PyTorch Advanced 1y ago
Everything you need to know about Fine-tuning and Merging LLMs: Maxime Labonne
ML Fundamentals
Everything you need to know about Fine-tuning and Merging LLMs: Maxime Labonne
AI Engineer Advanced 1y ago
Stanford ECON295/CS323 I 2024 I AI and Creativity, Anima Anandkumar
ML Fundamentals
Stanford ECON295/CS323 I 2024 I AI and Creativity, Anima Anandkumar
Stanford Online Advanced 1y ago
Bring AI Education and Training to Your University with NVIDIA
ML Fundamentals ⚡ AI Lesson
Bring AI Education and Training to Your University with NVIDIA
NVIDIA Developer Advanced 1y ago
Hyperparameter Tuning for Improving Model Accuracy #ai #datascience #learnwithav #hyperparameter
ML Fundamentals
Hyperparameter Tuning for Improving Model Accuracy #ai #datascience #learnwithav #hyperparameter
Analytics Vidhya Advanced 1y ago
Amazon's New AI Chips vs. Nvidia's Blackwell: AI Race Heats Up! #amazon #nvidia #ai #chips #genai
ML Fundamentals
Amazon's New AI Chips vs. Nvidia's Blackwell: AI Race Heats Up! #amazon #nvidia #ai #chips #genai
Deepak Bhaskaran Advanced 1y ago
David Stork | When Computers Look at Art | Talks at Google
ML Fundamentals
David Stork | When Computers Look at Art | Talks at Google
Talks at Google Advanced 1y ago
Visual Pathway - Explained
ML Fundamentals ⚡ AI Lesson
Visual Pathway - Explained
CodeEmporium Advanced 1y ago
Vision: Structure of the eye - Explained!
ML Fundamentals ⚡ AI Lesson
Vision: Structure of the eye - Explained!
CodeEmporium Advanced 1y ago
Reinforcement Learning: Zero to Hero
ML Fundamentals ⚡ AI Lesson
Reinforcement Learning: Zero to Hero
CodeEmporium Advanced 1y ago
Thien Tran - Low bit training
ML Fundamentals
Thien Tran - Low bit training
Cohere Advanced 1y ago
Celia Rubio Madrigal - Rewiring Graph Neural Networks: When Less is More and Structure Matters
ML Fundamentals ⚡ AI Lesson
Celia Rubio Madrigal - Rewiring Graph Neural Networks: When Less is More and Structure Matters
Cohere Advanced 1y ago
Hopfield Networks - Explained!
ML Fundamentals ⚡ AI Lesson
Hopfield Networks - Explained!
CodeEmporium Advanced 1y ago
Rohan Jain - Sparse Training from Random Initialization: Aligning Lottery Ticket Masks using Weight
ML Fundamentals
Rohan Jain - Sparse Training from Random Initialization: Aligning Lottery Ticket Masks using Weight
Cohere Advanced 1y ago
Unlock Unreal Performance with Small Models!
ML Fundamentals
Unlock Unreal Performance with Small Models!
MLOps.community Advanced 1y ago
Mind Blowing Fact  More Docs Boosts Performance!
ML Fundamentals
Mind Blowing Fact More Docs Boosts Performance!
MLOps.community Advanced 1y ago
Avoiding the Premature Optimization Trap
ML Fundamentals
Avoiding the Premature Optimization Trap
MLOps.community Advanced 1y ago
Konstantin Klemmer - Learning Neural Representations of our Planet from Earth Observation Data
ML Fundamentals
Konstantin Klemmer - Learning Neural Representations of our Planet from Earth Observation Data
Cohere Advanced 1y ago
LoRA - Explained!
ML Fundamentals ⚡ AI Lesson
LoRA - Explained!
CodeEmporium Advanced 1y ago
Keynote: Ray: A Distributed Framework for Heterogeneous Computing - Ion Stoica, UC Berkeley
ML Fundamentals
Keynote: Ray: A Distributed Framework for Heterogeneous Computing - Ion Stoica, UC Berkeley
PyTorch Advanced 1y ago
Jeremy Bernstein - Metrized Deep Learning
ML Fundamentals
Jeremy Bernstein - Metrized Deep Learning
Cohere Advanced 1y ago
Informer: Training and Inference
ML Fundamentals ⚡ AI Lesson
Informer: Training and Inference
CodeEmporium Advanced 1y ago
Informer: Complete Code from scratch!
ML Fundamentals ⚡ AI Lesson
Informer: Complete Code from scratch!
CodeEmporium Advanced 1y ago
Informer: complete architecture EXPLAINED!
ML Fundamentals ⚡ AI Lesson
Informer: complete architecture EXPLAINED!
CodeEmporium Advanced 1y ago
Informer Encoder architecture - EXPLAINED!
ML Fundamentals ⚡ AI Lesson
Informer Encoder architecture - EXPLAINED!
CodeEmporium Advanced 1y ago
Alex Lewandowski - Learning Continually by Spectral Regularization
ML Fundamentals
Alex Lewandowski - Learning Continually by Spectral Regularization
Cohere Advanced 1y ago
Fireside Chat: Max Welling
ML Fundamentals
Fireside Chat: Max Welling
Cohere Advanced 1y ago
Informer embeddings - EXPLAINED!
ML Fundamentals ⚡ AI Lesson
Informer embeddings - EXPLAINED!
CodeEmporium Advanced 1y ago
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Calculus through Data & Modeling: Applying Differentiation
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Machine Learning Operations (MLOps): Getting Started - Français
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Machine Learning Operations (MLOps): Getting Started - Français
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Machine Learning with Small Data Part 2
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Machine Learning with Small Data Part 2
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Production Machine Learning Systems - Español
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Production Machine Learning Systems - Español
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Mathematics for Machine Learning: Linear Algebra
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Introduction to Artificial Intelligence
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