✕ Clear filters
1 lesson

🔢 Mathematical Foundations

Linear algebra, calculus, probability, statistics and optimisation — the maths behind ML

All ▶ YouTube 279,233📚 External: Coursera 18,859🏛 Archive.org 625 | 📰 Articles →

Looking for written articles and micro-lessons? Switch to Reads.

ML tutorial: How to solve classification problems with TensorFlow and multi-layer perceptrons
Mathematical Foundations
ML tutorial: How to solve classification problems with TensorFlow and multi-layer perceptrons
Google for Developers Beginner 3y ago
📚 Continue on Coursera External links · Free to audit
1 / 3 View all →
Mathematics for Machine Learning: Linear Algebra
📚 External: Coursera ↗
Self-paced
Mathematics for Machine Learning: Linear Algebra
Opens on Coursera ↗
Crunch Spatial Stats
📚 External: Coursera ↗
Self-paced
Crunch Spatial Stats
Opens on Coursera ↗
Statistical Methods for Psychological Research
📚 External: Coursera ↗
Self-paced
Statistical Methods for Psychological Research
Opens on Coursera ↗
Renewable Power and Electricity Systems
📚 External: Coursera ↗
Self-paced
Renewable Power and Electricity Systems
Opens on Coursera ↗
Matrix Algebra for Engineers
📚 External: Coursera ↗
Self-paced
Matrix Algebra for Engineers
Opens on Coursera ↗
Discrete-Time Markov Chains and Monte Carlo Methods
📚 External: Coursera ↗
Self-paced
Discrete-Time Markov Chains and Monte Carlo Methods
Opens on Coursera ↗