Foundations

ML Fundamentals

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

11,413
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
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
An Interview With D. Sculley For Gradient Dissent
ML Fundamentals
An Interview With D. Sculley For Gradient Dissent
Weights & Biases Advanced 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
#41 Machine Learning Specialization [Course 1, Week 3, Lesson 4]
ML Fundamentals
#41 Machine Learning Specialization [Course 1, Week 3, Lesson 4]
DeepLearningAI Intermediate 3y ago
#40 Machine Learning Specialization [Course 1, Week 3, Lesson 4]
ML Fundamentals
#40 Machine Learning Specialization [Course 1, Week 3, Lesson 4]
DeepLearningAI Intermediate 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
Stanford CS229M - Lecture 14: Neural Tangent Kernel, Implicit regularization of gradient descent
ML Fundamentals
Stanford CS229M - Lecture 14: Neural Tangent Kernel, Implicit regularization of gradient descent
Stanford Online Intermediate 3y ago
How to Assemble a Deep Learning Machine - Full Process | Part 2
ML Fundamentals
How to Assemble a Deep Learning Machine - Full Process | Part 2
Aleksa Gordić - The AI Epiphany Intermediate 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
Engineering Production NLP Systems at T-Mobile - 600
ML Fundamentals ⚡ AI Lesson
Engineering Production NLP Systems at T-Mobile - 600
The TWIML AI Podcast with Sam Charrington Intermediate 3y ago
#39 Machine Learning Specialization [Course 1, Week 3, Lesson 4]
ML Fundamentals
#39 Machine Learning Specialization [Course 1, Week 3, Lesson 4]
DeepLearningAI Intermediate 3y ago
#38 Machine Learning Specialization [Course 1, Week 3, Lesson 4]
ML Fundamentals
#38 Machine Learning Specialization [Course 1, Week 3, Lesson 4]
DeepLearningAI Intermediate 3y ago
#37 Machine Learning Specialization [Course 1, Week 3, Lesson 4]
ML Fundamentals
#37 Machine Learning Specialization [Course 1, Week 3, Lesson 4]
DeepLearningAI Intermediate 3y ago
#36 Machine Learning Specialization [Course 1, Week 3, Lesson 3]
ML Fundamentals
#36 Machine Learning Specialization [Course 1, Week 3, Lesson 3]
DeepLearningAI Intermediate 3y ago
#30 Machine Learning Specialization [Course 1, Week 2, Lesson 2]
ML Fundamentals
#30 Machine Learning Specialization [Course 1, Week 2, Lesson 2]
DeepLearningAI Intermediate 3y ago
#29 Machine Learning Specialization [Course 1, Week 2, Lesson 2]
ML Fundamentals
#29 Machine Learning Specialization [Course 1, Week 2, Lesson 2]
DeepLearningAI Intermediate 3y ago
#28 Machine Learning Specialization [Course 1, Week 2, Lesson 2]
ML Fundamentals
#28 Machine Learning Specialization [Course 1, Week 2, Lesson 2]
DeepLearningAI Intermediate 3y ago
#27 Machine Learning Specialization [Course 1, Week 2, Lesson 2]
ML Fundamentals
#27 Machine Learning Specialization [Course 1, Week 2, Lesson 2]
DeepLearningAI Intermediate 3y ago
#26 Machine Learning Specialization [Course 1, Week 2, Lesson 2]
ML Fundamentals
#26 Machine Learning Specialization [Course 1, Week 2, Lesson 2]
DeepLearningAI Intermediate 3y ago
#25 Machine Learning Specialization [Course 1, Week 2, Lesson 2]
ML Fundamentals ⚡ AI Lesson
#25 Machine Learning Specialization [Course 1, Week 2, Lesson 2]
DeepLearningAI Intermediate 3y ago
#24 Machine Learning Specialization [Course 1, Week 2, Lesson 1]
ML Fundamentals
#24 Machine Learning Specialization [Course 1, Week 2, Lesson 1]
DeepLearningAI Intermediate 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
#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
How to Build a Real-World AI Project Portfolio
ML Fundamentals
How to Build a Real-World AI Project Portfolio
DeepLearningAI Intermediate 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
📚 Coursera Courses Opens on Coursera · Free to audit
1 / 3 View all →
Applied Calculus with Python
📚 Coursera Course ↗
Self-paced
Applied Calculus with Python
Opens on Coursera ↗
MLOps in R: Deploying machine learning models using vetiver
📚 Coursera Course ↗
Self-paced
MLOps in R: Deploying machine learning models using vetiver
Opens on Coursera ↗
Differential Equations Part II Series Solutions
📚 Coursera Course ↗
Self-paced
Differential Equations Part II Series Solutions
Opens on Coursera ↗
Recommender Systems Complete Course Beginner to Advanced
📚 Coursera Course ↗
Self-paced
Recommender Systems Complete Course Beginner to Advanced
Opens on Coursera ↗
Deep Learning - Artificial Neural Networks with TensorFlow
📚 Coursera Course ↗
Self-paced
Deep Learning - Artificial Neural Networks with TensorFlow
Opens on Coursera ↗
Apache Spark with Scala – Hands-On with Big Data!
📚 Coursera Course ↗
Self-paced
Apache Spark with Scala – Hands-On with Big Data!
Opens on Coursera ↗