Foundations

ML Fundamentals

Neural networks, backpropagation, gradient descent — the maths behind AI

11,258
lessons
Skills in this topic
View full skill map →
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
Preparing Data to Measure True Machine Learning Model Performance |  Real Python Podcast #135
ML Fundamentals
Preparing Data to Measure True Machine Learning Model Performance | Real Python Podcast #135
Real Python Beginner 3y ago
How does cross validation performance change with increase in number of folds K?
ML Fundamentals ⚡ AI Lesson
How does cross validation performance change with increase in number of folds K?
CodeEmporium Beginner 3y ago
Must Know Programming Languages in 2024
ML Fundamentals
Must Know Programming Languages in 2024
Entri Coding മലയാളം Beginner 3y ago
Graph Convolutional Network (GCN) Paper Explained
ML Fundamentals
Graph Convolutional Network (GCN) Paper Explained
Aladdin Persson Beginner 3y ago
NVIDIA Neural Brushstroke Engine
ML Fundamentals
NVIDIA Neural Brushstroke Engine
NVIDIA Developer Beginner 3y ago
This Model Caused A Nuclear Disaster
ML Fundamentals ⚡ AI Lesson
This Model Caused A Nuclear Disaster
Underfitted Beginner 3y ago
#20 Machine Learning Specialization [Course 1, Week 1, Lesson 4]
ML Fundamentals ⚡ AI Lesson
#20 Machine Learning Specialization [Course 1, Week 1, Lesson 4]
DeepLearningAI Beginner 3y ago
#19 Machine Learning Specialization [Course 1, Week 1, Lesson 4]
ML Fundamentals
#19 Machine Learning Specialization [Course 1, Week 1, Lesson 4]
DeepLearningAI Beginner 3y ago
What are the different ways to perform data validation in machine learning?
ML Fundamentals ⚡ AI Lesson
What are the different ways to perform data validation in machine learning?
CodeEmporium Beginner 3y ago
MATLAB Crash Course for Beginners
ML Fundamentals ⚡ AI Lesson
MATLAB Crash Course for Beginners
freeCodeCamp.org Beginner 3y ago
PyTorch Developer Day
ML Fundamentals
PyTorch Developer Day
PyTorch Beginner 3y ago
Juan Corvalan | Incubating Predictive Systems: Application Challenges | Talks at Google
ML Fundamentals
Juan Corvalan | Incubating Predictive Systems: Application Challenges | Talks at Google
Talks at Google Beginner 3y ago
How the World Cup’s AI instant replay works
ML Fundamentals ⚡ AI Lesson
How the World Cup’s AI instant replay works
Vox Beginner 3y ago
6 Tips to write BETTER For Loops in Python
ML Fundamentals ⚡ AI Lesson
6 Tips to write BETTER For Loops in Python
Patrick Loeber Beginner 3y ago
Guido van Rossum: Python and the Future of Programming | Lex Fridman Podcast #341
ML Fundamentals
Guido van Rossum: Python and the Future of Programming | Lex Fridman Podcast #341
Lex Fridman Beginner 3y ago
Latent Dirichlet Allocation (LDA) with Gibbs Sampling Explained
ML Fundamentals ⚡ AI Lesson
Latent Dirichlet Allocation (LDA) with Gibbs Sampling Explained
Aladdin Persson Beginner 3y ago
House Price Prediction in Python - Full Machine Learning Project
ML Fundamentals ⚡ AI Lesson
House Price Prediction in Python - Full Machine Learning Project
NeuralNine Beginner 3y ago
MLOps in Practice: Common Challenges and Lessons Learned / Marouen Hizaoui & Mo Basirati/Meetup #114
ML Fundamentals ⚡ AI Lesson
MLOps in Practice: Common Challenges and Lessons Learned / Marouen Hizaoui & Mo Basirati/Meetup #114
MLOps.community Beginner 3y ago
Full Machine Learning Project — Coding a Fitness Tracker with Python (Part 1)
ML Fundamentals
Full Machine Learning Project — Coding a Fitness Tracker with Python (Part 1)
Dave Ebbelaar Beginner 3y ago
The Function That Changed Everything
ML Fundamentals ⚡ AI Lesson
The Function That Changed Everything
Underfitted Beginner 3y ago
Full-Stack ML Apps (Javascript, React, Streamlit) with Gradio API
ML Fundamentals
Full-Stack ML Apps (Javascript, React, Streamlit) with Gradio API
1littlecoder Beginner 3y ago
Basics of a Neural Network | Optimization Algorithms & Activation Function | DataHour
ML Fundamentals
Basics of a Neural Network | Optimization Algorithms & Activation Function | DataHour
Analytics Vidhya Beginner 3y ago
All Possible Ways To Apply Jobs In Data Science Industry
ML Fundamentals
All Possible Ways To Apply Jobs In Data Science Industry
Krish Naik Beginner 3y ago
Lecture 14: Basic Hilbert Space Theory
ML Fundamentals ⚡ AI Lesson
Lecture 14: Basic Hilbert Space Theory
MIT OpenCourseWare Beginner 3y ago
Realistic avatars with Hallway face motion capture - Made with TensorFlow.js
ML Fundamentals ⚡ AI Lesson
Realistic avatars with Hallway face motion capture - Made with TensorFlow.js
TensorFlow Beginner 3y ago
How to Build a Deep Learning Machine - Everything You Need To Know
ML Fundamentals
How to Build a Deep Learning Machine - Everything You Need To Know
Aleksa Gordić - The AI Epiphany Beginner 3y ago
Self-Driving Cars: How ML Algorithms are building a Driver-less Future | DataHour | #MachineLearning
ML Fundamentals
Self-Driving Cars: How ML Algorithms are building a Driver-less Future | DataHour | #MachineLearning
Analytics Vidhya Beginner 3y ago
Entri Elevate Supply Anthem ft.  @ShabareeshVarmaOfficial| @officialFejo| Varkey
ML Fundamentals
Entri Elevate Supply Anthem ft. @ShabareeshVarmaOfficial| @officialFejo| Varkey
Entri Coding മലയാളം Beginner 3y ago
Synthetic Dataset Creation for Machine Learning - Blender and Python
ML Fundamentals
Synthetic Dataset Creation for Machine Learning - Blender and Python
Rob Mulla Beginner 3y ago
Every Distance in Data Science (Almost 100K Subs!)
ML Fundamentals ⚡ AI Lesson
Every Distance in Data Science (Almost 100K Subs!)
ritvikmath Beginner 3y ago
#18 Machine Learning Specialization [Course 1, Week 1, Lesson 4]
ML Fundamentals
#18 Machine Learning Specialization [Course 1, Week 1, Lesson 4]
DeepLearningAI Beginner 3y ago
#17 Machine Learning Specialization [Course 1, Week 1, Lesson 4]
ML Fundamentals
#17 Machine Learning Specialization [Course 1, Week 1, Lesson 4]
DeepLearningAI Beginner 3y ago
#16 Machine Learning Specialization [Course 1, Week 1, Lesson 4]
ML Fundamentals
#16 Machine Learning Specialization [Course 1, Week 1, Lesson 4]
DeepLearningAI Beginner 3y ago
#15 Machine Learning Specialization [Course 1, Week 1, Lesson 4]
ML Fundamentals
#15 Machine Learning Specialization [Course 1, Week 1, Lesson 4]
DeepLearningAI Beginner 3y ago
Why do we need data validation in machine learning?
ML Fundamentals ⚡ AI Lesson
Why do we need data validation in machine learning?
CodeEmporium Beginner 3y ago
Cross Validation Explained!
ML Fundamentals ⚡ AI Lesson
Cross Validation Explained!
CodeEmporium Beginner 3y ago
Why unbiased models aren't enough in machine learning
ML Fundamentals ⚡ AI Lesson
Why unbiased models aren't enough in machine learning
CodeEmporium Beginner 3y ago
Bias Math in Machine Learning
ML Fundamentals ⚡ AI Lesson
Bias Math in Machine Learning
CodeEmporium Beginner 3y ago
Bias in Machine Learning
ML Fundamentals ⚡ AI Lesson
Bias in Machine Learning
CodeEmporium Beginner 3y ago
Bias Variance Tradeoff Explained!
ML Fundamentals ⚡ AI Lesson
Bias Variance Tradeoff Explained!
CodeEmporium Beginner 3y ago
Continuous Bag of Words (CBOW) PyTorch Code Explained
ML Fundamentals
Continuous Bag of Words (CBOW) PyTorch Code Explained
Aladdin Persson Beginner 3y ago
Word2Vec Explained - CBOW & Skip-Gram Models
ML Fundamentals
Word2Vec Explained - CBOW & Skip-Gram Models
Aladdin Persson Beginner 3y ago
Should You Stop Splitting Your Data Like This?
ML Fundamentals
Should You Stop Splitting Your Data Like This?
Underfitted Beginner 3y ago
Bayesian analysis with Linear Regression
ML Fundamentals ⚡ AI Lesson
Bayesian analysis with Linear Regression
CodeEmporium Beginner 3y ago
What is regularization trying to do?
ML Fundamentals ⚡ AI Lesson
What is regularization trying to do?
CodeEmporium Beginner 3y ago
What is regularization?
ML Fundamentals ⚡ AI Lesson
What is regularization?
CodeEmporium Beginner 3y ago
Introduction to Positive Unlabeled (PU) Learning | DataHour | Analytics Vidhya
ML Fundamentals
Introduction to Positive Unlabeled (PU) Learning | DataHour | Analytics Vidhya
Analytics Vidhya Beginner 3y ago
Bias and Variance, Simplified
ML Fundamentals
Bias and Variance, Simplified
Underfitted Beginner 3y ago
📚 Coursera Courses Opens on Coursera · Free to audit
1 / 3 View all →
Automate Cloud Costs & Governance
📚 Coursera Course ↗
Self-paced
Automate Cloud Costs & Governance
Opens on Coursera ↗
Introduction to Generative AI - Français
📚 Coursera Course ↗
Self-paced
Introduction to Generative AI - Français
Opens on Coursera ↗
Modeling Time Series and Sequential Data
📚 Coursera Course ↗
Self-paced
Modeling Time Series and Sequential Data
Opens on Coursera ↗
STAR-CCM+: Fluid Flow & Thermal Simulation
📚 Coursera Course ↗
Self-paced
STAR-CCM+: Fluid Flow & Thermal Simulation
Opens on Coursera ↗
Identify Damaged Car Parts with Vertex AutoML Vision
📚 Coursera Course ↗
Self-paced
Identify Damaged Car Parts with Vertex AutoML Vision
Opens on Coursera ↗
Fundamentals of Machine Learning for Healthcare
📚 Coursera Course ↗
Self-paced
Fundamentals of Machine Learning for Healthcare
Opens on Coursera ↗