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Machine Learning Algorithms: Theory and Practice. Artificial Intelligence, Machine Learning, and Deep Learning Revolutions
В наличии
| Местонахождение: Алматы | Состояние экземпляра: новый |
Бумажная
версия
версия
Автор: Abdul Joseph Fofanah
ISBN: 9786204727103
Год издания: 1905
Формат книги: 60×90/16 (145×215 мм)
Количество страниц: 376
Издательство: LAP LAMBERT Academic Publishing
Цена: 60569 тг
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Отрасли знаний:Код товара: 706491
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Аннотация: Machine learning is a branch of artificial intelligence that enable computer systems to learn explicitly from example, data, and experience. Through enhancement, computers can perform specific tasks intelligently without human intervention. Machine learning systems can carry out complex analysis by learning or training from data. Currently, there are exciting improvements in machine learning, which have raised its capabilities across many business application platforms and other corridors. By employing big data availability, has enabled machine learning systems to be trained using big data platforms, while increasing computer processing capabilities to analyze data explicitly. Within the domain itself, there have been various algorithmic advances, which have resulted in the utilization of machine learning algorithms and subsequently utilized by large companies: Google, Amazon, Microsoft, Netflix, and so on. This book provides an intuitive illustration of machine learning algorithms, their theories and implementations, and various techniques in supervised, unsupervised, or semi-supervised learning algorithms including some sample source codes for user’s visualization.
Ключевые слова: Machine Learning, Algorithms, theory, practice, model training, design and implementation, Research
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