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
Coding Word2Vec : Natural Language Processing
ML Fundamentals
Coding Word2Vec : Natural Language Processing
ritvikmath Beginner 4y ago
Three reasons not to use drop='first' with OneHotEncoder
ML Fundamentals
Three reasons not to use drop='first' with OneHotEncoder
Data School Beginner 4y ago
The Molecular Basis of Life
ML Fundamentals ⚡ AI Lesson
The Molecular Basis of Life
arXiv Insights Beginner 4y ago
Engineering MLOps // Emmanuel Raj // MLOps Meetup #69
ML Fundamentals ⚡ AI Lesson
Engineering MLOps // Emmanuel Raj // MLOps Meetup #69
MLOps.community Beginner 4y ago
Maximizing Performance for Distributed Deep Learning with NVIDIA SHARP (HGX)
ML Fundamentals
Maximizing Performance for Distributed Deep Learning with NVIDIA SHARP (HGX)
NVIDIA Developer Beginner 4y ago
Build a ML Classification Model in 12 Lines with PyCaret
ML Fundamentals ⚡ AI Lesson
Build a ML Classification Model in 12 Lines with PyCaret
Nicholas Renotte Beginner 4y ago
What is the Jax Deep Learning Framework?
ML Fundamentals ⚡ AI Lesson
What is the Jax Deep Learning Framework?
Roboflow Beginner 4y ago
Panels # 1: What it takes to become a Quadruple Kaggle Grandmaster?
ML Fundamentals
Panels # 1: What it takes to become a Quadruple Kaggle Grandmaster?
Abhishek Thakur Beginner 4y ago
W&B Fastbook Reading Group — 3. DL Models in Production & Ethical Considerations
ML Fundamentals
W&B Fastbook Reading Group — 3. DL Models in Production & Ethical Considerations
Weights & Biases Beginner 4y ago
Build A Machine Learning iOS App | PyTorch Mobile Deployment
ML Fundamentals
Build A Machine Learning iOS App | PyTorch Mobile Deployment
Patrick Loeber Beginner 4y ago
L3.4 Feynman Calculus: Higher-Order Diagrams
ML Fundamentals
L3.4 Feynman Calculus: Higher-Order Diagrams
MIT OpenCourseWare Beginner 4y ago
L3.5 Feynman Calculus: Divergency
ML Fundamentals
L3.5 Feynman Calculus: Divergency
MIT OpenCourseWare Beginner 4y ago
Building AI models for healthcare (ML Tech Talks)
ML Fundamentals ⚡ AI Lesson
Building AI models for healthcare (ML Tech Talks)
TensorFlow Beginner 4y ago
HistGradientBoostingClassifier natively supports missing values
ML Fundamentals
HistGradientBoostingClassifier natively supports missing values
Data School Beginner 4y ago
W&B Fastbook Reading Group — 2.  DL Models in Production & Validation Sets
ML Fundamentals
W&B Fastbook Reading Group — 2. DL Models in Production & Validation Sets
Weights & Biases Beginner 4y ago
SGT Model Deployment Working Group June 22, 2021 Meeting
ML Fundamentals
SGT Model Deployment Working Group June 22, 2021 Meeting
MLOps.community Beginner 4y ago
Expected Values for Continuous Variables!!!
ML Fundamentals ⚡ AI Lesson
Expected Values for Continuous Variables!!!
StatQuest with Josh Starmer Beginner 4y ago
Sign Language Detection using ACTION RECOGNITION with Python | LSTM Deep Learning Model
ML Fundamentals
Sign Language Detection using ACTION RECOGNITION with Python | LSTM Deep Learning Model
Nicholas Renotte Beginner 4y ago
An Overview of the PyTorch Mobile Demo Apps
ML Fundamentals ⚡ AI Lesson
An Overview of the PyTorch Mobile Demo Apps
PyTorch Beginner 4y ago
Data Scientist vs. Machine Learning Engineer
ML Fundamentals
Data Scientist vs. Machine Learning Engineer
DeepLearningAI Beginner 4y ago
Intro to graph neural networks (ML Tech Talks)
ML Fundamentals ⚡ AI Lesson
Intro to graph neural networks (ML Tech Talks)
TensorFlow Beginner 4y ago
Azure AI Fundamentals Certification (AI-900) - Full Course to PASS the Exam
ML Fundamentals
Azure AI Fundamentals Certification (AI-900) - Full Course to PASS the Exam
freeCodeCamp.org Beginner 4y ago
Video tutorial demonstrating SOLOIST: building task bots at scale
ML Fundamentals
Video tutorial demonstrating SOLOIST: building task bots at scale
Microsoft Research Beginner 4y ago
9. Understanding torch.nn
ML Fundamentals ⚡ AI Lesson
9. Understanding torch.nn
Abhishek Thakur Beginner 4y ago
The Jacobian : Data Science Basics
ML Fundamentals ⚡ AI Lesson
The Jacobian : Data Science Basics
ritvikmath Beginner 4y ago
Optimize Tensorflow Pipeline Performance: prefetch & cache | Deep Learning Tutorial 45 (Tensorflow)
ML Fundamentals ⚡ AI Lesson
Optimize Tensorflow Pipeline Performance: prefetch & cache | Deep Learning Tutorial 45 (Tensorflow)
codebasics Beginner 4y ago
Should You Learn Machine Learning?
ML Fundamentals
Should You Learn Machine Learning?
Tech With Tim Beginner 4y ago
Do We Need Deep Learning in Time Series
ML Fundamentals ⚡ AI Lesson
Do We Need Deep Learning in Time Series
Data Skeptic Beginner 4y ago
Coursera Conference Highlight: Mastering For-Credit Online Learning
ML Fundamentals
Coursera Conference Highlight: Mastering For-Credit Online Learning
Coursera Beginner 4y ago
Tensorflow Input Pipeline | tf Dataset | Deep Learning Tutorial 44 (Tensorflow, Keras & Python)
ML Fundamentals
Tensorflow Input Pipeline | tf Dataset | Deep Learning Tutorial 44 (Tensorflow, Keras & Python)
codebasics Beginner 4y ago
10 Deep Learning Projects (Beginner & Advanced)
ML Fundamentals
10 Deep Learning Projects (Beginner & Advanced)
Patrick Loeber Beginner 4y ago
Non-Parametric Transformers | Paper explained
ML Fundamentals
Non-Parametric Transformers | Paper explained
Aleksa Gordić - The AI Epiphany Beginner 4y ago
PyTorch Community Voices | TorchIO | Fernando Pérez-García
ML Fundamentals
PyTorch Community Voices | TorchIO | Fernando Pérez-García
PyTorch Beginner 4y ago
L3.2 Feynman Calculus: Fermi's Golden Rule
ML Fundamentals
L3.2 Feynman Calculus: Fermi's Golden Rule
MIT OpenCourseWare Beginner 4y ago
L3.3 Feynman Calculus: Toy Theory
ML Fundamentals
L3.3 Feynman Calculus: Toy Theory
MIT OpenCourseWare Beginner 4y ago
L3.1 Feynman Calculus: Introduction
ML Fundamentals ⚡ AI Lesson
L3.1 Feynman Calculus: Introduction
MIT OpenCourseWare Beginner 4y ago
Examine the intermediate steps in a Pipeline
ML Fundamentals ⚡ AI Lesson
Examine the intermediate steps in a Pipeline
Data School Beginner 4y ago
Matthew Davis — Bringing Genetic Insights to Everyone
ML Fundamentals
Matthew Davis — Bringing Genetic Insights to Everyone
Weights & Biases Beginner 4y ago
Twitch Affecting Felipe's Career // Felipe Campos Penha// Meetup #63 short clip
ML Fundamentals
Twitch Affecting Felipe's Career // Felipe Campos Penha// Meetup #63 short clip
MLOps.community Beginner 4y ago
8. Training and validation loops in PyTorch
ML Fundamentals ⚡ AI Lesson
8. Training and validation loops in PyTorch
Abhishek Thakur Beginner 4y ago
Machine Learning Explainability & Bias Detection with Watson OpenScale
ML Fundamentals
Machine Learning Explainability & Bias Detection with Watson OpenScale
Nicholas Renotte Beginner 4y ago
fast.ai's Jeremy Howard on Why Python is not the future of machine learning  - Gradient Dissent Clip
ML Fundamentals
fast.ai's Jeremy Howard on Why Python is not the future of machine learning - Gradient Dissent Clip
Weights & Biases Beginner 4y ago
W&B Fastbook Reading Group — 1. Your Deep Learning Journey
ML Fundamentals ⚡ AI Lesson
W&B Fastbook Reading Group — 1. Your Deep Learning Journey
Weights & Biases Beginner 4y ago
Building an ML Platform from Scratch: Live Coding Session // Alon Gubkin // MLOps Meetup #67
ML Fundamentals
Building an ML Platform from Scratch: Live Coding Session // Alon Gubkin // MLOps Meetup #67
MLOps.community Beginner 4y ago
Being Focused on the Business Problems // Luigi Patruno // MLOps Coffee Sessions #36 short clip
ML Fundamentals ⚡ AI Lesson
Being Focused on the Business Problems // Luigi Patruno // MLOps Coffee Sessions #36 short clip
MLOps.community Beginner 4y ago
A friendly introduction to linear algebra for ML (ML Tech Talks)
ML Fundamentals ⚡ AI Lesson
A friendly introduction to linear algebra for ML (ML Tech Talks)
TensorFlow Beginner 4y ago
Exploratory Data Analysis with the Binance API using Python and Pandas | MLTrader EP1
ML Fundamentals
Exploratory Data Analysis with the Binance API using Python and Pandas | MLTrader EP1
Nicholas Renotte Beginner 4y ago
What are microfluidic devices? — Polly Fordyce
ML Fundamentals
What are microfluidic devices? — Polly Fordyce
Weights & Biases Beginner 4y ago
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Data Science Fundamentals Part 2: Unit 3
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Geometric Algorithms
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AI-900 - Azure AI Fundamentals and Two Practice Tests
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AI-900 - Azure AI Fundamentals and Two Practice Tests
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Data Engineering & Pipeline Reliability for Machine Learning
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