Kniha Machine Learning Algorithms: Theory and Practice Abdul Joseph Fofanah

Machine Learning Algorithms: Theory and Practice

Jazyk: Angličtina
Vazba: Brožovaná
Dostupnost: Skladem u dodavatele
Odesíláme za 8-11 dnů
1 846
Machine learning is a branch of artificial intelligence that enable computer systems to learn explic...

Informace o knize

Jazyk
Angličtina
Vazba
Kniha - Brožovaná
Vydáno
2021
Stránek
376
EAN
9786204727103
ISBN
6204727109
Enbook ID
38448524
Hmotnost
578
Rozměry
150 x 220 x 23

Kompletní popis

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.

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