Foundations

ML Fundamentals

Neural networks, backpropagation, gradient descent โ€” 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
Gen AI Comprehensive Roadmap
ML Fundamentals
Gen AI Comprehensive Roadmap
GeeksforGeeks Intermediate 1y ago
Stanford AA228V I Validation of Safety Critical Systems I Guest Lecture: Somil Bansal, Stanford
ML Fundamentals โšก AI Lesson
Stanford AA228V I Validation of Safety Critical Systems I Guest Lecture: Somil Bansal, Stanford
Stanford Online Beginner 1y ago
Stanford AA228V I Validation of Safety Critical Systems I Explainability
ML Fundamentals โšก AI Lesson
Stanford AA228V I Validation of Safety Critical Systems I Explainability
Stanford Online Beginner 1y ago
Reinforcement Learning: Zero to Hero
ML Fundamentals โšก AI Lesson
Reinforcement Learning: Zero to Hero
CodeEmporium Advanced 1y ago
Convolution Operation in CNNs ๐Ÿ”„ - Filter Mechanics ๐Ÿงฉ - Topic 266 #ai #ml
ML Fundamentals โšก AI Lesson
Convolution Operation in CNNs ๐Ÿ”„ - Filter Mechanics ๐Ÿงฉ - Topic 266 #ai #ml
deeplizard Beginner 1y ago
How to fine-tune your models with just a few samples
ML Fundamentals
How to fine-tune your models with just a few samples
Underfitted Intermediate 1y ago
Data Science Gamechanger?
ML Fundamentals โšก AI Lesson
Data Science Gamechanger?
Rob Mulla Beginner 1y ago
ByteDance's DreamActor-M1 Turns Photos Into Realistic Videos ๐Ÿคฏ
ML Fundamentals
ByteDance's DreamActor-M1 Turns Photos Into Realistic Videos ๐Ÿคฏ
Analytics Vidhya Intermediate 1y ago
5 functions you need to know to understand ML || A story of mathematical intuition.
ML Fundamentals โšก AI Lesson
5 functions you need to know to understand ML || A story of mathematical intuition.
Paper in a Pod Beginner 1y ago
How Rad AI uses Weights & Biases to revolutionize radiology
ML Fundamentals
How Rad AI uses Weights & Biases to revolutionize radiology
Weights & Biases Beginner 1y ago
Passing Image Data to CNNs ๐Ÿ“ธ - Channel-Based Features ๐ŸŒˆ - Topic 265 #ai #ml
ML Fundamentals โšก AI Lesson
Passing Image Data to CNNs ๐Ÿ“ธ - Channel-Based Features ๐ŸŒˆ - Topic 265 #ai #ml
deeplizard Beginner 1y ago
How to learn Deep Learning 2025
ML Fundamentals โšก AI Lesson
How to learn Deep Learning 2025
Aladdin Persson Beginner 1y ago
10 Online Learning Benefits You Never Knew! ๐Ÿ“š
ML Fundamentals
10 Online Learning Benefits You Never Knew! ๐Ÿ“š
Coursera Beginner 1y ago
Generative AI as it best with Python, OpenAI, and the Murf API (I stole this example)
ML Fundamentals
Generative AI as it best with Python, OpenAI, and the Murf API (I stole this example)
Underfitted Beginner 1y ago
What Is Quantum Computers and How Will It Change Everything?
ML Fundamentals
What Is Quantum Computers and How Will It Change Everything?
Jean Lee Beginner 1y ago
Evolution of Neural Networks: Zero to Hero
ML Fundamentals โšก AI Lesson
Evolution of Neural Networks: Zero to Hero
CodeEmporium Beginner 1y ago
Building a Machine Learning Portfolio
ML Fundamentals โšก AI Lesson
Building a Machine Learning Portfolio
Aladdin Persson Beginner 1y ago
Can AI Help You Talk to Pets? ๐Ÿถ๐Ÿค–
ML Fundamentals
Can AI Help You Talk to Pets? ๐Ÿถ๐Ÿค–
GeeksforGeeks Beginner 1y ago
Data Meets Machine Learning - Marc Millstone
ML Fundamentals โšก AI Lesson
Data Meets Machine Learning - Marc Millstone
Outerbounds Beginner 1y ago
Don't Start Data Science Without Knowing This! ๐Ÿ˜จ| Roadmap , Prerequisites & Salary
ML Fundamentals
Don't Start Data Science Without Knowing This! ๐Ÿ˜จ| Roadmap , Prerequisites & Salary
AI Coach John (Tamil) Beginner 1y ago
Want to Shape AI's Future? Become an AI Architect!
ML Fundamentals
Want to Shape AI's Future? Become an AI Architect!
Coursera Beginner 1y ago
Tutorial: AMT Coding Challenge (OUCC) Python Lesson. Same Close Diffrerent, Countdown.
ML Fundamentals
Tutorial: AMT Coding Challenge (OUCC) Python Lesson. Same Close Diffrerent, Countdown.
Creator Academy Australia Beginner 1y ago
Creating an Inclusive AI Culture
ML Fundamentals โšก AI Lesson
Creating an Inclusive AI Culture
MLOps.community Intermediate 1y ago
The Future of AI: Progressing for Humanity's Benefit
ML Fundamentals โšก AI Lesson
The Future of AI: Progressing for Humanity's Benefit
MLOps.community Intermediate 1y ago
Gradient Descent in 100 Seconds
ML Fundamentals
Gradient Descent in 100 Seconds
Infinite Codes Beginner 1y ago
TWed Talk: Thilanka Munasinghe (26 Mar 2025)
ML Fundamentals โšก AI Lesson
TWed Talk: Thilanka Munasinghe (26 Mar 2025)
Tetherless World Beginner 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
End to End Gen AI Course | Session 16 | Build LLM Model | Calculate Training and Validation Loss
ML Fundamentals
End to End Gen AI Course | Session 16 | Build LLM Model | Calculate Training and Validation Loss
GEN AI hub Beginner 1y ago
Stanford AA228V I Validation of Safety Critical Systems I Discrete Reachability
ML Fundamentals
Stanford AA228V I Validation of Safety Critical Systems I Discrete Reachability
Stanford Online Beginner 1y ago
Stanford AA228V I Validation of Safety Critical Systems I Runtime Monitoring
ML Fundamentals
Stanford AA228V I Validation of Safety Critical Systems I Runtime Monitoring
Stanford Online Beginner 1y ago
Stanford AA228V I Validation of Safety Critical Systems I Reachability for Nonlinear Systems
ML Fundamentals โšก AI Lesson
Stanford AA228V I Validation of Safety Critical Systems I Reachability for Nonlinear Systems
Stanford Online Beginner 1y ago
Stanford AA228V I Validation of Safety Critical Systems I Reachability for Linear Systems
ML Fundamentals
Stanford AA228V I Validation of Safety Critical Systems I Reachability for Linear Systems
Stanford Online Beginner 1y ago
Stanford AA228V I Validation of Safety Critical Systems I Adaptive Importance Sampling
ML Fundamentals
Stanford AA228V I Validation of Safety Critical Systems I Adaptive Importance Sampling
Stanford Online Beginner 1y ago
Stanford AA228V I Validation of Safety Critical Systems I Importance Sampling
ML Fundamentals
Stanford AA228V I Validation of Safety Critical Systems I Importance Sampling
Stanford Online Beginner 1y ago
Stanford AA228V I Validation of Safety Critical Systems I Failure Distribution
ML Fundamentals
Stanford AA228V I Validation of Safety Critical Systems I Failure Distribution
Stanford Online Beginner 1y ago
Stanford AA228V I Validation of Safety Critical Systems I Guest Lecture: Anthony Corso, Terra AI
ML Fundamentals
Stanford AA228V I Validation of Safety Critical Systems I Guest Lecture: Anthony Corso, Terra AI
Stanford Online Beginner 1y ago
Stanford AA228V I Validation of Safety Critical Systems I Falsification through Planning
ML Fundamentals โšก AI Lesson
Stanford AA228V I Validation of Safety Critical Systems I Falsification through Planning
Stanford Online Beginner 1y ago
Stanford AA228V I Validation of Safety Critical Systems I Falsification through Optimization
ML Fundamentals
Stanford AA228V I Validation of Safety Critical Systems I Falsification through Optimization
Stanford Online Beginner 1y ago
Stanford AA228V I Validation of Safety Critical Systems I Property Specification 2
ML Fundamentals
Stanford AA228V I Validation of Safety Critical Systems I Property Specification 2
Stanford Online Beginner 1y ago
Stanford AA228V I Validation of Safety Critical Systems I Property Specification 1
ML Fundamentals
Stanford AA228V I Validation of Safety Critical Systems I Property Specification 1
Stanford Online Beginner 1y ago
Stanford AA228V I Validation of Safety Critical Systems I System Modeling
ML Fundamentals โšก AI Lesson
Stanford AA228V I Validation of Safety Critical Systems I System Modeling
Stanford Online Beginner 1y ago
Understanding Convolutional Filters โš™๏ธ - CNN Architecture ๐Ÿ›๏ธ - Topic 264 #ai #ml
ML Fundamentals โšก AI Lesson
Understanding Convolutional Filters โš™๏ธ - CNN Architecture ๐Ÿ›๏ธ - Topic 264 #ai #ml
deeplizard Beginner 1y ago
How to make Pandas extremely fast without changing any code.
ML Fundamentals
How to make Pandas extremely fast without changing any code.
Underfitted Intermediate 1y ago
This might be stupid, but I don't debug my code anymore
ML Fundamentals
This might be stupid, but I don't debug my code anymore
Underfitted Beginner 1y ago
Sparse vs Dense Connections in Layers ๐ŸŒ - Neural Network Insights ๐Ÿ”ฌ - Topic 263 #ai #ml
ML Fundamentals โšก AI Lesson
Sparse vs Dense Connections in Layers ๐ŸŒ - Neural Network Insights ๐Ÿ”ฌ - Topic 263 #ai #ml
deeplizard Beginner 1y ago
How to make your IDE 100x more powerful with the Zapier MCP server
ML Fundamentals
How to make your IDE 100x more powerful with the Zapier MCP server
Underfitted Intermediate 1y ago
Overfitting vs Underfitting
ML Fundamentals โšก AI Lesson
Overfitting vs Underfitting
Aladdin Persson Beginner 1y ago
Stock Market for Beginners | How to predict Indian Market in 2025?
ML Fundamentals
Stock Market for Beginners | How to predict Indian Market in 2025?
GeeksforGeeks Beginner 1y ago
๐Ÿ“š Coursera Courses Opens on Coursera ยท Free to audit
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ML Pipelines on Google Cloud - Franรงais
๐Ÿ“š Coursera Course โ†—
Self-paced
ML Pipelines on Google Cloud - Franรงais
Opens on Coursera โ†—
Fundamentos de IA Aplicados ao CRM
๐Ÿ“š Coursera Course โ†—
Self-paced
Fundamentos de IA Aplicados ao CRM
Opens on Coursera โ†—
Explainable AI: Scene Classification and GradCam Visualization
๐Ÿ“š Coursera Course โ†—
Self-paced
Explainable AI: Scene Classification and GradCam Visualization
Opens on Coursera โ†—
Modelos predictivos con Machine Learning
๐Ÿ“š Coursera Course โ†—
Self-paced
Modelos predictivos con Machine Learning
Opens on Coursera โ†—
Deep Learning Essentials
๐Ÿ“š Coursera Course โ†—
Self-paced
Deep Learning Essentials
Opens on Coursera โ†—
Learning TensorFlow: the Hello World of Machine Learning
๐Ÿ“š Coursera Course โ†—
Self-paced
Learning TensorFlow: the Hello World of Machine Learning
Opens on Coursera โ†—