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
AI-Generated Image Wins Art Competition | The Weekly Roundup
ML Fundamentals
AI-Generated Image Wins Art Competition | The Weekly Roundup
DataCamp Beginner 3y ago
Probability Distribution Functions - EXPLAINED!
ML Fundamentals ⚡ AI Lesson
Probability Distribution Functions - EXPLAINED!
CodeEmporium Beginner 3y ago
Lecture 14: Resonance and the S-Matrix
ML Fundamentals
Lecture 14: Resonance and the S-Matrix
MIT OpenCourseWare Beginner 3y ago
Saving cost on your machine learning training and inference on AWS
ML Fundamentals
Saving cost on your machine learning training and inference on AWS
AWS Developers Intermediate 3y ago
How to Learn Data Science and Have Fun - 365 Data Science v3.0 [New]
ML Fundamentals ⚡ AI Lesson
How to Learn Data Science and Have Fun - 365 Data Science v3.0 [New]
365 Data Science Beginner 3y ago
Key steps for Designing Artificial Neural Network (ANN) for Image classification #machinelearning
ML Fundamentals
Key steps for Designing Artificial Neural Network (ANN) for Image classification #machinelearning
Analytics Vidhya Beginner 3y ago
Modern Deep Learning Architecture #deeplearning  #architecture #deeplearningtutorial
ML Fundamentals
Modern Deep Learning Architecture #deeplearning #architecture #deeplearningtutorial
Analytics Vidhya Beginner 3y ago
How to implement Perceptron from scratch with Python
ML Fundamentals ⚡ AI Lesson
How to implement Perceptron from scratch with Python
AssemblyAI Intermediate 3y ago
Kubernetes Operator to Accelerate Production-Ready AI
ML Fundamentals
Kubernetes Operator to Accelerate Production-Ready AI
NVIDIA Developer Beginner 3y ago
How to implement PCA (Principal Component Analysis) from scratch with Python
ML Fundamentals
How to implement PCA (Principal Component Analysis) from scratch with Python
AssemblyAI Intermediate 3y ago
A Critical Skill People Learn Too LATE: Learning Curves In Machine Learning.
ML Fundamentals
A Critical Skill People Learn Too LATE: Learning Curves In Machine Learning.
Underfitted Beginner 3y ago
How to make your CPU as fast as a GPU - Advances in Sparsity w/ Nir Shavit
ML Fundamentals
How to make your CPU as fast as a GPU - Advances in Sparsity w/ Nir Shavit
Yannic Kilcher Beginner 3y ago
Creating Stable Diffusion Interpolation Videos
ML Fundamentals
Creating Stable Diffusion Interpolation Videos
sentdex Advanced 3y ago
I tried to build a Python Machine Learning Streamlit App in 7 Minutes | Coding Challenge
ML Fundamentals
I tried to build a Python Machine Learning Streamlit App in 7 Minutes | Coding Challenge
Nicholas Renotte Beginner 3y ago
Metaflow Sandbox Demo: Free Data Science Infrastructure In the Browser
ML Fundamentals ⚡ AI Lesson
Metaflow Sandbox Demo: Free Data Science Infrastructure In the Browser
Outerbounds Beginner 3y ago
Fireside Chat #5: Machine Learning + Infrastructure for Humans
ML Fundamentals ⚡ AI Lesson
Fireside Chat #5: Machine Learning + Infrastructure for Humans
Outerbounds Intermediate 3y ago
Global Management Programme for Infrastructure | Indian School of Business
ML Fundamentals
Global Management Programme for Infrastructure | Indian School of Business
Coursera Beginner 3y ago
Global Management Programme for Infrastructure | Indian School of Business
ML Fundamentals
Global Management Programme for Infrastructure | Indian School of Business
Coursera Beginner 3y ago
Project Alexandria: Using AI to build a knowledge base fit for humans
ML Fundamentals ⚡ AI Lesson
Project Alexandria: Using AI to build a knowledge base fit for humans
Microsoft Research Intermediate 3y ago
Alternative Uses for Blockchain - Computerphile
ML Fundamentals ⚡ AI Lesson
Alternative Uses for Blockchain - Computerphile
Computerphile Intermediate 3y ago
Introduction to PyTorch
ML Fundamentals ⚡ AI Lesson
Introduction to PyTorch
PyTorch Beginner 3y ago
Elephant Toothpaste Reaction
ML Fundamentals
Elephant Toothpaste Reaction
MIT OpenCourseWare Intermediate 3y ago
Variational Autoencoder from scratch in PyTorch
ML Fundamentals
Variational Autoencoder from scratch in PyTorch
Aladdin Persson Advanced 3y ago
Variational AutoEncoder Paper Walkthrough
ML Fundamentals
Variational AutoEncoder Paper Walkthrough
Aladdin Persson Beginner 3y ago
The Road Ahead: Google's Comprehensive Platform for Open Source Machine Learning
ML Fundamentals ⚡ AI Lesson
The Road Ahead: Google's Comprehensive Platform for Open Source Machine Learning
TensorFlow Advanced 3y ago
Introduction to On-device Machine Learning Solutions with MediaPipe
ML Fundamentals ⚡ AI Lesson
Introduction to On-device Machine Learning Solutions with MediaPipe
TensorFlow Beginner 3y ago
Random Variables - EXPLAINED!
ML Fundamentals ⚡ AI Lesson
Random Variables - EXPLAINED!
CodeEmporium Beginner 3y ago
Doing Machine Learning stuff \\ Daily Data Live Stream
ML Fundamentals
Doing Machine Learning stuff \\ Daily Data Live Stream
Nicholas Renotte Beginner 3y ago
Building makemore Part 2: MLP
ML Fundamentals ⚡ AI Lesson
Building makemore Part 2: MLP
Andrej Karpathy Beginner 3y ago
I can predict cars CRASHING. And it's 99% accurate!
ML Fundamentals
I can predict cars CRASHING. And it's 99% accurate!
Underfitted Beginner 3y ago
Google’s New AI: Fly INTO Photos! 🐦
ML Fundamentals
Google’s New AI: Fly INTO Photos! 🐦
Two Minute Papers Beginner 3y ago
Plex: Towards Reliability using Pretrained Large Model Extensions
ML Fundamentals
Plex: Towards Reliability using Pretrained Large Model Extensions
Cohere Beginner 3y ago
The Immaturity of Machine Learning - Clips - #502
ML Fundamentals ⚡ AI Lesson
The Immaturity of Machine Learning - Clips - #502
The TWIML AI Podcast with Sam Charrington Beginner 3y ago
Big differences in the way people need to approach machine learning problems nowadays
ML Fundamentals ⚡ AI Lesson
Big differences in the way people need to approach machine learning problems nowadays
The TWIML AI Podcast with Sam Charrington Beginner 3y ago
Hands-on with A/B Testing #abtesting #datascience
ML Fundamentals ⚡ AI Lesson
Hands-on with A/B Testing #abtesting #datascience
Analytics Vidhya Beginner 3y ago
How to tackle Overfitting?#machinelearning #overfitting
ML Fundamentals
How to tackle Overfitting?#machinelearning #overfitting
Analytics Vidhya Intermediate 3y ago
How to implement Naive Bayes from scratch with Python
ML Fundamentals ⚡ AI Lesson
How to implement Naive Bayes from scratch with Python
AssemblyAI Intermediate 3y ago
How to implement Random Forest from scratch with Python
ML Fundamentals
How to implement Random Forest from scratch with Python
AssemblyAI Intermediate 3y ago
How to implement Decision Trees from scratch with Python
ML Fundamentals
How to implement Decision Trees from scratch with Python
AssemblyAI Intermediate 3y ago
Global Management Programme in Operations and Supply Chain | Indian School of Business
ML Fundamentals
Global Management Programme in Operations and Supply Chain | Indian School of Business
Coursera Beginner 3y ago
How to implement Logistic Regression from scratch with Python
ML Fundamentals
How to implement Logistic Regression from scratch with Python
AssemblyAI Intermediate 3y ago
The DataHour: Google Cloud AI/ML
ML Fundamentals
The DataHour: Google Cloud AI/ML
Analytics Vidhya Beginner 3y ago
How to implement Linear Regression from scratch with Python
ML Fundamentals
How to implement Linear Regression from scratch with Python
AssemblyAI Intermediate 3y ago
The DataHour: Energy Data Science Project from Scratch
ML Fundamentals
The DataHour: Energy Data Science Project from Scratch
Analytics Vidhya Beginner 3y ago
Machine Learning From Scratch Full course
ML Fundamentals
Machine Learning From Scratch Full course
AssemblyAI Beginner 3y ago
How to implement KNN from scratch with Python
ML Fundamentals
How to implement KNN from scratch with Python
AssemblyAI Intermediate 3y ago
I tried to build a Machine Learning Python App in 15 Minutes | Coding Challenge
ML Fundamentals
I tried to build a Machine Learning Python App in 15 Minutes | Coding Challenge
Nicholas Renotte Beginner 3y ago
Harnessing On-Device AI to Transform the Smartphone Experience
ML Fundamentals ⚡ AI Lesson
Harnessing On-Device AI to Transform the Smartphone Experience
The TWIML AI Podcast with Sam Charrington Beginner 3y ago
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