Machine Learnin Andrew Ng Machine Learning summary Machine
- Slides: 15
Machine Learnin Andrew Ng “Machine Learning” summary
Machine Learning Supervised learning (контролируемое ML) Unsupervised learning (неконтролируемое ML)
Supervised learning (given a data set with right answers) 1. Regression algorithms (trying to predict a continuous value output) 2. Classification problems (discrete value output)
Unsupervised learning (no dataset with right answers) 1. Clustering 2. Other useful stuff (PCA, статистические методы исправления и подгонки моделей)
Linear regression
Logistic regression (two classification)
Logistic regression cost function
Multiclassification (email categories, cancer types) Подход one-vs-rest
Clustering: K-Means algorithm (метод k средних)
Machine learnin
Andrew ng intro machine learning
Andrew ng intro machine learning
Machine learning definition andrew ng
Machine learning introduction slides
Decision tree machine learning andrew ng
Cuadro comparativo de e-learning
Concept learning task in machine learning
Analytical learning in machine learning
Pac learning model in machine learning
Machine learning t mitchell
Inductive and analytical learning in machine learning
Inductive learning
Instance based learning in machine learning
Inductive learning machine learning
First order rule learning in machine learning
