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
Graph Convolutional Operators in the PyTorch JIT | PyTorch Developer Day 2020
ML Fundamentals
Graph Convolutional Operators in the PyTorch JIT | PyTorch Developer Day 2020
PyTorch Advanced 5y ago
Collaborative Filtering : Data Science Concepts
ML Fundamentals ⚡ AI Lesson
Collaborative Filtering : Data Science Concepts
ritvikmath Intermediate 5y ago
Recent Efforts Towards Efficient And Scalable Neural Waveform Coding
ML Fundamentals
Recent Efforts Towards Efficient And Scalable Neural Waveform Coding
Microsoft Research Beginner 5y ago
Geometry-constrained Beamforming Network for end-to-end Farfield Sound Source Separation
ML Fundamentals ⚡ AI Lesson
Geometry-constrained Beamforming Network for end-to-end Farfield Sound Source Separation
Microsoft Research Advanced 5y ago
AlphaFold2 - Quick Thoughts on 3D Spatial Graphs and Graph Neural Networks
ML Fundamentals
AlphaFold2 - Quick Thoughts on 3D Spatial Graphs and Graph Neural Networks
Connor Shorten Beginner 5y ago
Manolis Kellis: Meaning of Life, the Universe, and Everything | Lex Fridman Podcast #142
ML Fundamentals ⚡ AI Lesson
Manolis Kellis: Meaning of Life, the Universe, and Everything | Lex Fridman Podcast #142
Lex Fridman Beginner 5y ago
NVAITC Webinar: Deploying Models with TensorRT
ML Fundamentals
NVAITC Webinar: Deploying Models with TensorRT
NVIDIA Developer Beginner 5y ago
NVAITC Webinar: Multi-GPU Training using Horovod
ML Fundamentals
NVAITC Webinar: Multi-GPU Training using Horovod
NVIDIA Developer Intermediate 5y ago
Soft Margin SVM : Data Science Concepts
ML Fundamentals
Soft Margin SVM : Data Science Concepts
ritvikmath Intermediate 5y ago
Big Data, Hadoop and Machine Learning Explained using Dams
ML Fundamentals ⚡ AI Lesson
Big Data, Hadoop and Machine Learning Explained using Dams
Imaad Mohamed Khan Beginner 5y ago
Predictive Coding Approximates Backprop along Arbitrary Computation Graphs (Paper Explained)
ML Fundamentals
Predictive Coding Approximates Backprop along Arbitrary Computation Graphs (Paper Explained)
Yannic Kilcher Beginner 5y ago
Getting ready to learn Python, Windows edition #7: git for repository management
ML Fundamentals
Getting ready to learn Python, Windows edition #7: git for repository management
Brandon Rohrer Beginner 5y ago
Getting ready to learn Python, Windows edition #6: pip for package management
ML Fundamentals
Getting ready to learn Python, Windows edition #6: pip for package management
Brandon Rohrer Beginner 5y ago
How to get software engineering internship | How to get programming Job
ML Fundamentals
How to get software engineering internship | How to get programming Job
codebasics Beginner 5y ago
Credit Risk Modeling in Python Course
ML Fundamentals
Credit Risk Modeling in Python Course
365 Data Science Beginner 5y ago
10 things I'm grateful for this Thanksgiving
ML Fundamentals
10 things I'm grateful for this Thanksgiving
Lex Fridman Beginner 5y ago
Solving Nintendo HireMe!!! with "Basic" Math
ML Fundamentals ⚡ AI Lesson
Solving Nintendo HireMe!!! with "Basic" Math
LiveOverflow Beginner 5y ago
Level Up Your Data Science Skills #shorts
ML Fundamentals ⚡ AI Lesson
Level Up Your Data Science Skills #shorts
Data Professor Beginner 5y ago
Investing in Procurement Builds Resilience
ML Fundamentals
Investing in Procurement Builds Resilience
Saïd Business School, University of Oxford Intermediate 5y ago
Machine Learning Tutorial Python - 17: L1 and L2 Regularization | Lasso, Ridge Regression
ML Fundamentals ⚡ AI Lesson
Machine Learning Tutorial Python - 17: L1 and L2 Regularization | Lasso, Ridge Regression
codebasics Beginner 5y ago
W&B Reports: Take notes, save snapshots, and collaborate on ML projects
ML Fundamentals
W&B Reports: Take notes, save snapshots, and collaborate on ML projects
Weights & Biases Beginner 5y ago
Ep#4 - Are Privacy-enchancing technologies a myth?
ML Fundamentals
Ep#4 - Are Privacy-enchancing technologies a myth?
MLOps.community Beginner 5y ago
Extracting information from political ad disclosures with the DeepForm team
ML Fundamentals
Extracting information from political ad disclosures with the DeepForm team
Weights & Biases Advanced 5y ago
Private AI Education Series Announcement | PyTorch Developer Day 2020
ML Fundamentals
Private AI Education Series Announcement | PyTorch Developer Day 2020
PyTorch Beginner 5y ago
11.6 Nested CV for Algorithm Selection Code Example (L11 Model Eval. Part 4)
ML Fundamentals
11.6 Nested CV for Algorithm Selection Code Example (L11 Model Eval. Part 4)
Sebastian Raschka Beginner 5y ago
11.5 Nested CV for Algorithm Selection (L11 Model Eval. Part 4)
ML Fundamentals
11.5 Nested CV for Algorithm Selection (L11 Model Eval. Part 4)
Sebastian Raschka Beginner 5y ago
NVAITC Webinar: Automatic Mixed Precision Training in PyTorch
ML Fundamentals
NVAITC Webinar: Automatic Mixed Precision Training in PyTorch
NVIDIA Developer Beginner 5y ago
NVAITC Webinar: Introduction to Convolutional Neural Networks
ML Fundamentals
NVAITC Webinar: Introduction to Convolutional Neural Networks
NVIDIA Developer Beginner 5y ago
NVAITC Webinar: Linear Regression in PyTorch
ML Fundamentals
NVAITC Webinar: Linear Regression in PyTorch
NVIDIA Developer Intermediate 5y ago
Getting ready to learn Python, Mac edition #7: Build repositories with git
ML Fundamentals
Getting ready to learn Python, Mac edition #7: Build repositories with git
Brandon Rohrer Beginner 5y ago
Getting ready to learn Python, Mac edition #6: Download packages with pip
ML Fundamentals
Getting ready to learn Python, Mac edition #6: Download packages with pip
Brandon Rohrer Beginner 5y ago
Look ma, no side effects! Collaborative Work on AI Safety with the SafeLife Team
ML Fundamentals ⚡ AI Lesson
Look ma, no side effects! Collaborative Work on AI Safety with the SafeLife Team
Weights & Biases Advanced 5y ago
PyTorch/XLA Internal | PyTorch Developer Day 2020
ML Fundamentals
PyTorch/XLA Internal | PyTorch Developer Day 2020
PyTorch Beginner 5y ago
MLPerf & PyTorch | PyTorch Developer Day 2020
ML Fundamentals
MLPerf & PyTorch | PyTorch Developer Day 2020
PyTorch Beginner 5y ago
DeepSpeed | PyTorch Developer Day 2020
ML Fundamentals ⚡ AI Lesson
DeepSpeed | PyTorch Developer Day 2020
PyTorch Advanced 5y ago
Model Interpretability | PyTorch Developer Day 2020
ML Fundamentals
Model Interpretability | PyTorch Developer Day 2020
PyTorch Beginner 5y ago
Torch for R & Hasktorch: Bringing Torch to New Programming Languages | PyTorch Developer Day 2020
ML Fundamentals ⚡ AI Lesson
Torch for R & Hasktorch: Bringing Torch to New Programming Languages | PyTorch Developer Day 2020
PyTorch Beginner 5y ago
PyTorch Mobile and Android Neural Networks API | PyTorch Developer Day 2020
ML Fundamentals
PyTorch Mobile and Android Neural Networks API | PyTorch Developer Day 2020
PyTorch Intermediate 5y ago
PyTorch on Windows | PyTorch Developer Day 2020
ML Fundamentals
PyTorch on Windows | PyTorch Developer Day 2020
PyTorch Beginner 5y ago
TorchAudio | PyTorch Developer Day 2020
ML Fundamentals ⚡ AI Lesson
TorchAudio | PyTorch Developer Day 2020
PyTorch Intermediate 5y ago
High-Level API for Autograd | PyTorch Developer Day 2020
ML Fundamentals ⚡ AI Lesson
High-Level API for Autograd | PyTorch Developer Day 2020
PyTorch Intermediate 5y ago
Complex Numbers in PyTorch | PyTorch Developer Day 2020
ML Fundamentals
Complex Numbers in PyTorch | PyTorch Developer Day 2020
PyTorch Intermediate 5y ago
Open Challenges in Deep Learning Systems | PyTorch Developer Day 2020
ML Fundamentals
Open Challenges in Deep Learning Systems | PyTorch Developer Day 2020
PyTorch Beginner 5y ago
SVM (The Math) : Data Science Concepts
ML Fundamentals
SVM (The Math) : Data Science Concepts
ritvikmath Intermediate 5y ago
W&B Deep Learning Salon - SafeLife & DeepForm
ML Fundamentals ⚡ AI Lesson
W&B Deep Learning Salon - SafeLife & DeepForm
Weights & Biases Beginner 5y ago
11.4 Statistical Tests for Algorithm Comparison (L11 Model Eval. Part 4)
ML Fundamentals
11.4 Statistical Tests for Algorithm Comparison (L11 Model Eval. Part 4)
Sebastian Raschka Beginner 5y ago
11.3 Multiple Pairwise Comparisons (L11 Model Eval. Part 4)
ML Fundamentals
11.3 Multiple Pairwise Comparisons (L11 Model Eval. Part 4)
Sebastian Raschka Beginner 5y ago
11.2 McNemar's Test for Pairwise Classifier Comparison (L11 Model Eval. Part 4)
ML Fundamentals
11.2 McNemar's Test for Pairwise Classifier Comparison (L11 Model Eval. Part 4)
Sebastian Raschka Beginner 5y ago
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