Deep Learning Foundations

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Éditeur :

Springer

Paru le : 2023-07-25

This book provides a conceptual understanding of deep learning algorithms. The book consists of the four parts: foundations, deep machine learning, deep neural networks, and textual deep learning. The first part provides traditional supervised learning, traditional unsupervised learning, and ensembl...
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À propos

Auteur

Éditeur

Collection
n.c

Parution
2023-07-25

Pages
426 pages

EAN papier
9783031328787

Auteur(s) du livre


The author, Taeho Jo, is president and founder of Alpha Lab AI. He received Bachelor, Master, and PhD degree, from Korea University in 1994, from Pohang University in 1997, and from University of Ottawa, 2006. As his research achievements, since 1996, he has published more than 200 research papers, and his research interests are text mining, machine learning, neural networks, and information retrieval. He has awarded three times in the world-wide biography, “Marquis who’s who in the World”, in 2016, 2018, and 2019, and is granted the noble title, “Duke” from United Kingdom, in August 2018. He previously published two books, titled, “Text Mining: Concept, Implementation, and Big Data Challenge” and titled “Machine Learning Foundations: Supervised, Unsupervised, and Advanced Learning”. 

Caractéristiques détaillées - droits

EAN PDF
9783031328794
Prix
116,04 €
Nombre pages copiables
4
Nombre pages imprimables
42
Taille du fichier
14868 Ko
EAN EPUB
9783031328794
Prix
116,04 €
Nombre pages copiables
4
Nombre pages imprimables
42
Taille du fichier
29112 Ko

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