Ciaburro MATLAB for Machine Learning

Unlock the power of deep learning for swift and enhanced results
2. Auflage 2024
ISBN: 978-1-83508-953-8
Verlag: De Gruyter
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, 374 Seiten

No detailed description available for "MATLAB for Machine Learning".

Autoren/Hrsg.

Ciaburro, Giuseppe

Fachgebiete

• Mathematik | Informatik EDV | Informatik Informatik Theoretische Informatik
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Spracherkennung, Sprachverarbeitung

Inhaltsverzeichnis

Table of Contents - Exploring MATLAB for Machine Learning
- Working with Data in MATLAB
- Prediction Using Classification and Regression
- Clustering Analysis and Dimensionality Reduction
- Introducing Artificial Neural Networks Modeling
- Deep Learning and Convolutional Neural Networks
- Natural Language Processing Using MATLAB
- MATLAB for Image Processing and Computer Vision
- Time Series Analysis and Forecasting with MATLAB
- MATLAB Tools for Recommender Systems
- Anomaly Detection in MATLAB

Über Autor(innen)

Ciaburro Giuseppe:

Giuseppe Ciaburro holds a PhD and two master's degrees. He works at the Built Environment Control Laboratory - Università degli Studi della Campania "Luigi Vanvitelli". He has over 25 years of work experience in programming, first in the field of combustion and then in acoustics and noise control. His core programming knowledge is in MATLAB, Python and R. As an expert in AI applications to acoustics and noise control problems, Giuseppe has wide experience in researching and teaching. He has several publications to his credit: monographs, scientific journals, and thematic conferences. He was recently included in the world's top 2% scientists list by Stanford University (2022).