My Machine Learning Revision Guide which I am creating whilst I learn Machine Learning to showcase my knowledge and also to use as a revision reference for myself and others who which to learn Machine Learning.
Each area of the guide is covered with the theory, written worked example and a coded example of the algorithm or concept being revised.
https://ocw.mit.edu/courses/mathematics/18-06-linear-algebra-spring-2010/
https://www.youtube.com/playlist?list=PLZHQObOWTQDMsr9K-rj53DwVRMYO3t5Yr
https://www.edx.org/course/introduction-probability-science-mitx-6-041x-2
https://www.edx.org/course/algorithm-design-analysis-pennx-sd3x
https://www.youtube.com/watch?v=T5pRlIbr6gg&list=PL2-dafEMk2A6QKz1mrk1uIGfHkC1zZ6UU
https://www.youtube.com/watch?v=xRJCOz3AfYY&list=PL2-dafEMk2A7mu0bSksCGMJEmeddU_H4D
https://www.youtube.com/watch?v=2FmcHiLCwTU&list=PL2-dafEMk2A7EEME489DsI468AB0wQsMV
Intro to ML (Udacity) https://eu.udacity.com/course/intro-to-machine-learning--ud120
ML Project Ideas https://github.com/NirantK/awesome-project-ideas
Intro to Deep Learning https://www.youtube.com/watch?v=vOppzHpvTiQ&list=PL2-dafEMk2A7YdKv4XfKpfbTH5z6rEEj3
๐ค Ryan Maugin
๐ฆ @techedryan
๐ [email protected]