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This is a repository for CS4ML. It is a general framework for active learning in regression problems. It approximates a target function arising from general types of data, rather than pointwise samples.
The method of generalized least squares is studied in the context of mathematical models, linear and non-linear, that arise in experimental sciences, especially in Geodesy and related sciences.
MATLAB and data science course, taking you from MATDRAB to MATFAB in 8 weeks! General course covering the basics of MATLAB, Signal processing, Statistics, and Machine Learning
An online course on ML taught by Andrew Ng. Introduces algorithms from scratch including regression models, classification, Neural Networks, SVMs, K-Means clustering, and applications such as Photo OCR.
Thesis project concerning the development of predictive regression models for the estimation of cetacean abundance in the Gulf of Taranto using climatic and morphological variables.
In this project, inverse problem was solved to find parameters of first derivative equation using numerical optimization methods. Matlab is used for coding.