Supervised Learning

concepts · 11 notes linked

Related: Machine Learning · Unsupervised Learning · Scikit Learn · Classification · Deep Learning · Stanford University · Trevor Hastie · Rob Tibshirani

Notes

• A Tour of Machine Learning Algorithms - MachineLearningMastery.com — Taxonomy of machine learning algorithms by learning style and similarity
• BUS 41204: Machine Learning — Chicago Booth inaugural MBA machine learning course 2015
• Building a Decision Tree in Python from Postgres data - Gary Sieling — Tutorial building scikit-learn decision tree from PostgreSQL relational data
• CSC321 Neural Networks and Machine Learning (UTM) — University of Toronto UTM introductory neural networks and ML course
• GitHub - eriklindernoren/ML-From-Scratch: Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning. — Bare-bones NumPy educational implementations of ML algorithms
• In-depth introduction to machine learning in 15 hours of expert videos — Free 15-hour Stanford ISLR video course covering statistical learning fundamentals
• Machine Learning Algorithm Recipes in scikit-learn - MachineLearningMastery.com — Five standalone scikit-learn supervised classification code recipes
• Supervised Classification | Google Earth Engine | Google for Developers — Google Earth Engine supervised classification workflow using CART, RandomForest, and SVM
• Text classification · fastText — Tutorial for training supervised text classifiers with fastText
• What is structured learning? — Introduction to structured prediction as generalization of classification and regression
• scikit-learn — Python machine learning library covering classification through preprocessing