Technische Daten
Erscheinungsdatum
12.07.2023
Herausgeber
Springer International Publishing
Einbandart
Gebundene Ausgabe
Buch Untertitel
Theory and Implementation
Autorenporträt
Amin Zollanvari is an Associate Professor of Electrical and Computer Engineering and the Head of Data Science Laboratory at Nazarbayev University. He received his B.Sc. and M.Sc. degrees in electrical engineering from Shiraz University, Iran, in 2003 and 2006, respectively, and a Ph.D. in electrical engineering from Texas A&M University, in 2010. He held a postdoctoral position at Harvard Medical School and Brigham and Women’s Hospital, Boston MA (2010-2012), and later joined the Department of Statistics at Texas A&M University as an Assistant Research Scientist (2012-2014). He has taught a number of courses on machine learning, programming, and statistical signal processing both at graduate and undergraduate level and has authored over 80 research papers in prestigious journals and international conferences on fundamental and practical machine learning and pattern recognition. He is currently an IEEE Senior member and has served as an Associate Editor of IEEE Access since 2018.
Schlagwörter
Keras-TensorFlow, Clustering, Convolutional Neural Networks, Decision Trees, Deep Learning, Ensemble Learning, Feature Selection, Matplotlib, NumPy, Pandas, Pattern Recognition, Python Implementation, Recurrent Neural Networks, Scikit-Learn, Supervised Learning, Unsupervised Learning, XGBoost
Thema-Inhalt
UYQM - Maschinelles Lernen
UMX - Programmier- und Skriptsprachen, allgemein
UN - Datenbanken
UYQP - Mustererkennung
UYQ - Künstliche Intelligenz
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