- Machine learning is widely used in many areas and there is not lack of resources if one wants to learn
- This wiki page contains few of introductory resources produced or recommended by HLG-MOS ML project team
- These resources are all freely available on open platform
Machine learning
Course
- Machine Learning by Andrew Ng - available on youtube
- Machine learning by mathematicalmonk - available on youtube
Blog
- Machine Learning Mastery - https://machinelearningmastery.com/start-here/
Book
- 'The Elements of Statistical Learning: Data mining, Inference and Prediction', Trevor Hastie, Robert Tibshirani and Jerome H. Friedman (2009) - available online
'An Introduction to Statistical Learning with Applications in R', Gareth James, Daniela Witten, Trevor Hastie and Robert Tibshirani (2013) - available online
Python tutorial
- Coding and Classification kick-start tutorial for beginner by Statistics Poland - available on Google colab
- Fasttext tutorial by Statistics Canada - available on Github
- Autocoding class by ameasure - available on Github
- TensorFlow tutorial by Hvass Laboratories - available on Github
Datasets
Real data
- ECOICOP data by Statistics Poland - available on Github
- Energy Balance Dataset by Belgium VITO - available on Zenodo
Überblick
Community Forums
Inhalte
ThemeBuilder