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# FYS-STK3155/4155 Applied Data Analysis and Machine Learning, http://www.uio.no/studier/emner/matnat/fys/FYS-STK4155/index-eng.html
This site contains all material relevant for the course on Applied Data Analysis and Machine Learning, FYS-STK3155/4155 at the University of Oslo, Norway.
This site contains all material relevant for the course on Applied Data Analysis and Machine Learning FYS-STK3155/4155 at the University of Oslo, Norway.
## Introduction
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### Machine learning
The following topics will be covered
The following topics are planned for the fall semester 2020
- Linear Regression and Logistic Regression;
- Neural networks and deep learning;
- Neural networks and deep learning, including convolutional and recurrent neural networks
- Decisions trees and nearest neighbor algorithms
- Support vector machines
- Bayesian Neural Networks
- Bayesian linear and logistic regression
- Boltzmann Machines
- Dimensionality reduction, from PCA to cluster models
- Unsupervised learning Dimensionality reduction, from PCA to cluster models
Hands-on demonstrations, exercises and projects aim at deepening your understanding of these topics.