Mean Absolute Error
Mean Absolute Error (MAE) is a metric for assessing Regression predictions. Simply take the average of the absolute error between all labels and predictions in …
This is the rendered collections of notes by me, Lex Toumbourou.
You can find the source on the GitHub project.
The notes are collecting using my interpretation of the Zettelkasten method.
More
You can find the source on the GitHub project.
The notes are collecting using my interpretation of the Zettelkasten method.
More
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ML Regression
Notes taken during ML Regression by Coursera.
Linear Algebra Refresher
Matrices and Vectors
- Denoted by
n x m(n rows, m columns).
Special Matrices
- Square …
- Denoted by
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Root Mean-Squared Error
Root mean-squared error (RMSE) is a function for assessing Regression predictions.
Sometimes called L2 Loss because it takes the L2 Norm of the error vector …
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Machine Learning Foundations: A Case Study Approach
Notes from Coursera's Machine Learning Foundations: A Case Study Approach by Emily Fox and Carlos Guestrin
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Dijkstra's Shortest Path Algorithm
An elegant algorithm for finding the shortest path between nodes in a graph.
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Computational Investing Part I (Coursera)
Coursera Verified Certificates, License GKNAYZY4TH, October 2013
Full course write up available here
Notes
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Red Hat System Administration III with RHCSA and RHCE Exams (RH255)
These notes were taken from the in-person course completed in 2013 and were used to get the following certs:
- RHCSA - obtained 2013-08-09 (130-134-935)
- RHCE - obtained …
