Machine Learning Algorithms: Theory and Practice

Name: Machine Learning Algorithms: Theory and Practice
Brand: LAP LAMBERT Academic Publishing
SKU: 9786204727103
Price: 343.62 PLN
Availability: InStock

Autor: Abdul Joseph Fofanah

Język:

Oprawa: Miękka

Wydawca: LAP LAMBERT Academic Publishing

Dostępność: Dostępna u dostawcy

Wysyłamy za 8-11 dni

343.62 zł

Machine learning is a branch of artificial intelligence that enable computer systems to learn explic...

Informacje o książce

Autor

Abdul Joseph Fofanah

Język

Angielski

Oprawa

Książka - Miękka

Data wydania

2021

strony

376

EAN

9786204727103

ISBN

6204727109

Enbook ID

38448524

Wydawca

LAP LAMBERT Academic Publishing

Waga

578

Wymiary

150 x 220 x 23

Pełny opis

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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