Foundations

ML Fundamentals

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

19,930
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
Rosanne Liu - career creation for non-standard candidates
ML Fundamentals
Rosanne Liu - career creation for non-standard candidates
Cohere Intermediate 3y ago
Building Cohere API Demo App With Streamlit | Adrien Morisot
ML Fundamentals
Building Cohere API Demo App With Streamlit | Adrien Morisot
Cohere Intermediate 3y ago
On the Adversarial Robustness of Deep Learning
ML Fundamentals
On the Adversarial Robustness of Deep Learning
Microsoft Research Intermediate 3y ago
Building drones to restore deforestation
ML Fundamentals
Building drones to restore deforestation
Google for Developers Intermediate 3y ago
Lightning Talk: A deep learning approach to recover conditional independence graphs
ML Fundamentals ⚡ AI Lesson
Lightning Talk: A deep learning approach to recover conditional independence graphs
Microsoft Research Intermediate 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
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
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
Fireside Chat #7: How to Build an Enterprise Machine Learning Platform from Scratch
ML Fundamentals ⚡ AI Lesson
Fireside Chat #7: How to Build an Enterprise Machine Learning Platform from Scratch
Outerbounds Intermediate 3y ago
Sean Carroll | The Biggest Ideas in the Universe: Space, Time and Motion | Talks at Google
ML Fundamentals
Sean Carroll | The Biggest Ideas in the Universe: Space, Time and Motion | Talks at Google
Talks at Google Intermediate 3y ago
Is the premise of data-centric AI flawed?
ML Fundamentals ⚡ AI Lesson
Is the premise of data-centric AI flawed?
Outerbounds Intermediate 3y ago
Role of Optimization in Machine Learning & Deep Learning | DataHour | Analytics Vidhya
ML Fundamentals
Role of Optimization in Machine Learning & Deep Learning | DataHour | Analytics Vidhya
Analytics Vidhya Intermediate 3y ago
Need All Your Help To Test NeuroLabs Coding Platform  Today At 6pm
ML Fundamentals
Need All Your Help To Test NeuroLabs Coding Platform Today At 6pm
Krish Naik Intermediate 3y ago
Transforming Lives | Data Science Immersive Bootcamp
ML Fundamentals ⚡ AI Lesson
Transforming Lives | Data Science Immersive Bootcamp
Analytics Vidhya Intermediate 3y ago
Uses of Information Theory - Computerphile
ML Fundamentals ⚡ AI Lesson
Uses of Information Theory - Computerphile
Computerphile Intermediate 3y ago
BEST ARTIFICIAL INTELLIGENCE COURSES
ML Fundamentals
BEST ARTIFICIAL INTELLIGENCE COURSES
Martin Zeman Intermediate 3y ago
Live Q&A-Ask Anything Related To Data Science
ML Fundamentals
Live Q&A-Ask Anything Related To Data Science
Krish Naik Intermediate 3y ago
#104 How the Data Community Can Accelerate Your Data Career (with  Kate Strachnyi)
ML Fundamentals ⚡ AI Lesson
#104 How the Data Community Can Accelerate Your Data Career (with Kate Strachnyi)
DataCamp Intermediate 3y ago
Model Driven Software Engineering - Computerphile
ML Fundamentals ⚡ AI Lesson
Model Driven Software Engineering - Computerphile
Computerphile Intermediate 3y ago
How to implement K-Means from scratch with Python
ML Fundamentals
How to implement K-Means from scratch with Python
AssemblyAI Intermediate 3y ago
How to implement SVM (Support Vector Machine) from scratch with Python
ML Fundamentals ⚡ AI Lesson
How to implement SVM (Support Vector Machine) from scratch with Python
AssemblyAI 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
#33 Machine Learning Specialization [Course 1, Week 3, Lesson 1]
ML Fundamentals
#33 Machine Learning Specialization [Course 1, Week 3, Lesson 1]
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
How to Build a Real-World AI Project Portfolio
ML Fundamentals
How to Build a Real-World AI Project Portfolio
DeepLearningAI Intermediate 3y ago
Branching out of the Notebook: ML Application Development with GitHub
ML Fundamentals
Branching out of the Notebook: ML Application Development with GitHub
DeepLearningAI Intermediate 3y ago
The 4 main tasks in the production ML lifecycle
ML Fundamentals ⚡ AI Lesson
The 4 main tasks in the production ML lifecycle
Outerbounds Intermediate 3y ago
Multi-Objective Optimisation
ML Fundamentals
Multi-Objective Optimisation
Analytics Vidhya Intermediate 3y ago
Metaflow on Azure
ML Fundamentals ⚡ AI Lesson
Metaflow on Azure
Outerbounds Intermediate 3y ago
Beyond Jupyter Notebooks: MLOps Environment Setup & First Deployment
ML Fundamentals
Beyond Jupyter Notebooks: MLOps Environment Setup & First Deployment
DeepLearningAI Intermediate 3y ago
Classification Machine Learning Model from Scratch
ML Fundamentals
Classification Machine Learning Model from Scratch
Analytics Vidhya Intermediate 3y ago
A Prediction Model for Malaria using an Ensemble of Machine Learning & Hydrological Drought Indices
ML Fundamentals ⚡ AI Lesson
A Prediction Model for Malaria using an Ensemble of Machine Learning & Hydrological Drought Indices
Microsoft Research Intermediate 3y ago
How to tackle Overfitting?#machinelearning #overfitting
ML Fundamentals
How to tackle Overfitting?#machinelearning #overfitting
Analytics Vidhya Intermediate 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
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
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
Fireside Chat #5: Machine Learning + Infrastructure for Humans
ML Fundamentals ⚡ AI Lesson
Fireside Chat #5: Machine Learning + Infrastructure for Humans
Outerbounds Intermediate 3y ago
📚 Continue on Coursera External links · Free to audit
1 / 3 View all →
Production Machine Learning Systems
📚 External: Coursera ↗
Self-paced
Production Machine Learning Systems
Opens on Coursera ↗
Generative AI Foundations for Absolute Beginners
📚 External: Coursera ↗
Self-paced
Generative AI Foundations for Absolute Beginners
Opens on Coursera ↗
Machine Learning in the Enterprise
📚 External: Coursera ↗
Self-paced
Machine Learning in the Enterprise
Opens on Coursera ↗
Predicting Extreme Climate Behavior with Machine Learning
📚 External: Coursera ↗
Self-paced
Predicting Extreme Climate Behavior with Machine Learning
Opens on Coursera ↗
Data Science Companion
📚 External: Coursera ↗
Self-paced
Data Science Companion
Opens on Coursera ↗
Mastering Neural Networks and Model Regularization
📚 External: Coursera ↗
Self-paced
Mastering Neural Networks and Model Regularization
Opens on Coursera ↗