- Добавил: literator
- Дата: 14-09-2021, 18:11
- Комментариев: 0
Название: Advances in Machine Learning/Deep Learning-based Technologies - Vol.2
Автор: George A. Tsihrintzis, Maria Virvou, Lakhmi C. Jain
Издательство: Springer
Год: 2022
Страниц: 237
Язык: английский
Формат: pdf (true), epub
Размер: 40.7 MB
The book at hand aims at exposing its readers to some of the most significant Advances in Machine Learning/Deep Learning-based Technologies. The book consists of an editorial note and an additional ten (10) chapters, all invited from authors who work on the corresponding chapter theme and are recognized for their significant research contributions. In more detail, the chapters in the book are organized into five parts, namely (i) Machine Learning/Deep Learning in Socializing and Entertainment, (ii) Machine Learning/Deep Learning in Education, (iii) Machine Learning/Deep Learning in Security, (iv) Machine Learning/Deep Learning in Time Series Forecasting, and (v) Machine Learning in Video Coding and Information Extraction.
Автор: George A. Tsihrintzis, Maria Virvou, Lakhmi C. Jain
Издательство: Springer
Год: 2022
Страниц: 237
Язык: английский
Формат: pdf (true), epub
Размер: 40.7 MB
The book at hand aims at exposing its readers to some of the most significant Advances in Machine Learning/Deep Learning-based Technologies. The book consists of an editorial note and an additional ten (10) chapters, all invited from authors who work on the corresponding chapter theme and are recognized for their significant research contributions. In more detail, the chapters in the book are organized into five parts, namely (i) Machine Learning/Deep Learning in Socializing and Entertainment, (ii) Machine Learning/Deep Learning in Education, (iii) Machine Learning/Deep Learning in Security, (iv) Machine Learning/Deep Learning in Time Series Forecasting, and (v) Machine Learning in Video Coding and Information Extraction.