Mastering Machine Learning with MATLAB

Course details

MATLAB is the language of choice for many researchers and mathematics experts for Machine Learning. This video course will help you build a foundation in Machine Learning using MATLAB. Youll start by performing data fitting, pattern recognition, and clustering analysis. Then, youll explore feature selection and extraction techniques for dimensionality reduction for performance improvement. Finally, you will learn to put it all together through real-world cases covering major Machine Learning algorithms and will now be an expert in performing Machine Learning with MATLAB.

About the Author

Giuseppe Ciaburro holds a Master's degree in chemical engineering from Universit degli Studi di Napoli Federico II, and a Master's degree in acoustic and noise control from Seconda Universit degli Studi di Napoli. He works at the Built Environment Control Laboratory - Universit degli Studi della Campania "Luigi Vanvitelli."

He has over 15 years' work experience in programming, first in the fieldof combustion and then in acoustics and noise control. His coreprogramming knowledge is in Python and R, and he has extensive experience of working with MATLAB. An expert in acoustics and noise control, Giuseppe has wide experience in teaching professional computer courses (about 15 years), dealing with e-learning as an author. He has several publications to his credit: monographs, scientific journals, andthematic conferences. He is currently researching Machine Learning applications in acoustics and noise control.