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DatA414

Yet another introduction to machine learning

Introduction to machine learning

Linear regression

Training, validating, testing

Gaussians

Classification

Logistic regression

Classification evaluation

Preprocessing

Decision trees

Ensemble methods

K-means clustering

Principal components analysis

Frequently asked questions

Acknowledgements

These videos are heavily inspired by three courses: the MLPR course taught by Iain Murray at the University of Edinburgh; the machine learning course taught by Greg Shakhnarovich at TTI-Chicago; and the Coursera machine learning course taught by Andrew Ng. I also consulted the textbook An Introduction to Statistical Learning, especially for examples.

License

Herman Kamper, 2020-2021.
This work is released under a Creative Commons Attribution-ShareAlike license (CC BY-SA 4.0).