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
Bias and Variance for Machine Learning | Deep Learning
ML Fundamentals
Bias and Variance for Machine Learning | Deep Learning
AssemblyAI Beginner 4y ago
Learn Code Python Data Science on iPad Free | TinkerStellar iOS App for Machine learning
ML Fundamentals
Learn Code Python Data Science on iPad Free | TinkerStellar iOS App for Machine learning
1littlecoder Beginner 4y ago
The Fundamental Problem with Neural Networks - Vanishing Gradients
ML Fundamentals
The Fundamental Problem with Neural Networks - Vanishing Gradients
ritvikmath Beginner 4y ago
The Only Data Science Explanation You Need
ML Fundamentals
The Only Data Science Explanation You Need
Ken Jee Beginner 4y ago
On Structuring an ML Platform 1 Pizza Team //Breno Costa & Matheus Frata //MLOps Coffee Sessions #73
ML Fundamentals ⚡ AI Lesson
On Structuring an ML Platform 1 Pizza Team //Breno Costa & Matheus Frata //MLOps Coffee Sessions #73
MLOps.community Beginner 4y ago
If you want to learn Machine Learning in 2022, start here. #technology #programming #software
ML Fundamentals
If you want to learn Machine Learning in 2022, start here. #technology #programming #software
Coding with Lewis Beginner 4y ago
NEW Deep Learning Courses - Early Access Available!
ML Fundamentals ⚡ AI Lesson
NEW Deep Learning Courses - Early Access Available!
deeplizard Beginner 4y ago
Layers of Full Stack Developement | Free programing Classes in Malayalam | Entri
ML Fundamentals
Layers of Full Stack Developement | Free programing Classes in Malayalam | Entri
Entri Coding മലയാളം Beginner 4y ago
13.4.5 Sequential Feature Selection -- Code Examples (L13: Feature Selection)
ML Fundamentals
13.4.5 Sequential Feature Selection -- Code Examples (L13: Feature Selection)
Sebastian Raschka Beginner 4y ago
Regularization - Data Augmentation
ML Fundamentals ⚡ AI Lesson
Regularization - Data Augmentation
AssemblyAI Beginner 4y ago
Full Self-Driving is HARD! Analyzing Elon Musk re: Tesla Autopilot on Lex Fridman's Podcast
ML Fundamentals
Full Self-Driving is HARD! Analyzing Elon Musk re: Tesla Autopilot on Lex Fridman's Podcast
Yannic Kilcher Beginner 4y ago
13.4.4 Sequential Feature Selection (L13: Feature Selection)
ML Fundamentals
13.4.4 Sequential Feature Selection (L13: Feature Selection)
Sebastian Raschka Beginner 4y ago
Learning Data Science In 2022- Step By Step Plan
ML Fundamentals
Learning Data Science In 2022- Step By Step Plan
Krish Naik Beginner 4y ago
Fourier Feature Networks and Neural Volume Rendering
ML Fundamentals
Fourier Feature Networks and Neural Volume Rendering
Microsoft Research Beginner 4y ago
Robot Dog Learns to Walk - Bittle Reinforcement Learning p.3
ML Fundamentals
Robot Dog Learns to Walk - Bittle Reinforcement Learning p.3
sentdex Beginner 4y ago
A friendly introduction to distributed training (ML Tech Talks)
ML Fundamentals ⚡ AI Lesson
A friendly introduction to distributed training (ML Tech Talks)
TensorFlow Beginner 4y ago
Learn How to Set Up Goals Like A Pro In 2022
ML Fundamentals
Learn How to Set Up Goals Like A Pro In 2022
Krish Naik Beginner 4y ago
Make object detection faster by using Coral
ML Fundamentals ⚡ AI Lesson
Make object detection faster by using Coral
TensorFlow Beginner 4y ago
Elon Musk: SpaceX, Mars, Tesla Autopilot, Self-Driving, Robotics, and AI | Lex Fridman Podcast #252
ML Fundamentals
Elon Musk: SpaceX, Mars, Tesla Autopilot, Self-Driving, Robotics, and AI | Lex Fridman Podcast #252
Lex Fridman Beginner 4y ago
Building an Image Classifier to Filter Out Unused Images From Your Photo Album with Machine Learning
ML Fundamentals
Building an Image Classifier to Filter Out Unused Images From Your Photo Album with Machine Learning
Automata Learning Lab Beginner 4y ago
Setting up an ML Platform on GCP: Lessons Learned // Mefta Sadat // MLOps #71
ML Fundamentals
Setting up an ML Platform on GCP: Lessons Learned // Mefta Sadat // MLOps #71
MLOps.community Beginner 4y ago
Machine Learning Holidays Live Stream
ML Fundamentals
Machine Learning Holidays Live Stream
Yannic Kilcher Beginner 4y ago
Masters in Physics to Data Scientist Career Transition Story
ML Fundamentals
Masters in Physics to Data Scientist Career Transition Story
codebasics Beginner 4y ago
Open-Source Deep Learning
ML Fundamentals
Open-Source Deep Learning
Connor Shorten Beginner 4y ago
SCIENTIFIC COMPUTING IN PYTORCH | MIKE RUBERRY
ML Fundamentals ⚡ AI Lesson
SCIENTIFIC COMPUTING IN PYTORCH | MIKE RUBERRY
PyTorch Beginner 4y ago
RETHINKING DATA LOADING IN PYTORCH | VITALY FEDYUNIN
ML Fundamentals ⚡ AI Lesson
RETHINKING DATA LOADING IN PYTORCH | VITALY FEDYUNIN
PyTorch Beginner 4y ago
NVIDIA’s New AI: Journey Into Virtual Reality!
ML Fundamentals
NVIDIA’s New AI: Journey Into Virtual Reality!
Two Minute Papers Beginner 4y ago
Regularization - Early stopping
ML Fundamentals ⚡ AI Lesson
Regularization - Early stopping
AssemblyAI Beginner 4y ago
13.4.3 Feature Permutation Importance Code Examples (L13: Feature Selection)
ML Fundamentals
13.4.3 Feature Permutation Importance Code Examples (L13: Feature Selection)
Sebastian Raschka Beginner 4y ago
13.4.2 Feature Permutation Importance (L13: Feature Selection)
ML Fundamentals
13.4.2 Feature Permutation Importance (L13: Feature Selection)
Sebastian Raschka Beginner 4y ago
Backpropagation For Neural Networks Explained | Deep Learning Tutorial
ML Fundamentals ⚡ AI Lesson
Backpropagation For Neural Networks Explained | Deep Learning Tutorial
AssemblyAI Beginner 4y ago
13.4.1 Recursive Feature Elimination (L13: Feature Selection)
ML Fundamentals
13.4.1 Recursive Feature Elimination (L13: Feature Selection)
Sebastian Raschka Beginner 4y ago
Machine Learning Holiday Live Stream
ML Fundamentals
Machine Learning Holiday Live Stream
Yannic Kilcher Beginner 4y ago
Dropout Regularization
ML Fundamentals ⚡ AI Lesson
Dropout Regularization
AssemblyAI Beginner 4y ago
Tuning Alpha in L1 and L2 Regularization
ML Fundamentals
Tuning Alpha in L1 and L2 Regularization
AssemblyAI Beginner 4y ago
Choose an object detection model architecture for Raspberry Pi
ML Fundamentals ⚡ AI Lesson
Choose an object detection model architecture for Raspberry Pi
TensorFlow Beginner 4y ago
13.3.2 Decision Trees & Random Forest Feature Importance (L13: Feature Selection)
ML Fundamentals
13.3.2 Decision Trees & Random Forest Feature Importance (L13: Feature Selection)
Sebastian Raschka Beginner 4y ago
Types of Regularization
ML Fundamentals ⚡ AI Lesson
Types of Regularization
AssemblyAI Beginner 4y ago
What Is Smart Contract In Ethereum Blockchain?
ML Fundamentals
What Is Smart Contract In Ethereum Blockchain?
Krish Naik Beginner 4y ago
How/Why Regularization in Neural Networks?
ML Fundamentals
How/Why Regularization in Neural Networks?
AssemblyAI Beginner 4y ago
Introduction to Regularization
ML Fundamentals
Introduction to Regularization
AssemblyAI Beginner 4y ago
Building 12-Factor Data Apps with Kedro // Ivan Danov // MLOps Meetup #90
ML Fundamentals
Building 12-Factor Data Apps with Kedro // Ivan Danov // MLOps Meetup #90
MLOps.community Beginner 4y ago
What Is NFT In Blockchain?
ML Fundamentals
What Is NFT In Blockchain?
Krish Naik Beginner 4y ago
Modern ML Stack is a Lie
ML Fundamentals
Modern ML Stack is a Lie
MLOps.community Beginner 4y ago
Yann LeCun & Soumith Chintala | Fireside Chat at PyTorch Developer Day 2021
ML Fundamentals
Yann LeCun & Soumith Chintala | Fireside Chat at PyTorch Developer Day 2021
PyTorch Beginner 4y ago
Train a custom object detection model using your data
ML Fundamentals ⚡ AI Lesson
Train a custom object detection model using your data
TensorFlow Beginner 4y ago
KORNIA AI: LOW LEVEL COMPUTER VISION FOR AI
ML Fundamentals
KORNIA AI: LOW LEVEL COMPUTER VISION FOR AI
PyTorch Beginner 4y ago
ML Drift - How to Identify Issues Before They Become Problems // Amy Hodler // MLOps Meetup #89
ML Fundamentals ⚡ AI Lesson
ML Drift - How to Identify Issues Before They Become Problems // Amy Hodler // MLOps Meetup #89
MLOps.community Beginner 4y ago
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Probability & Statistics for Machine Learning & Data Science
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Probability & Statistics for Machine Learning & Data Science
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Optimizing and Governing AI Systems
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Optimizing and Governing AI Systems
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Advanced Algorithms, Dynamic Programming & Graph Algorithms
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Advanced Algorithms, Dynamic Programming & Graph Algorithms
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Geospatial Foundations & Vector Analysis
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Geospatial Foundations & Vector Analysis
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Recommender Systems Complete Course Beginner to Advanced
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Recommender Systems Complete Course Beginner to Advanced
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Become AI-Ready: Deep Learning Fundamentals
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Become AI-Ready: Deep Learning Fundamentals
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