Machine Learning Algorithms: Theory and Practice

Name: Machine Learning Algorithms: Theory and Practice
Brand: LAP LAMBERT Academic Publishing
SKU: 9786204727103
Price: 80.96 EUR
Availability: InStock

Autor: Abdul Joseph Fofanah

Jazyk:

Väzba: Brožovaná

Vydavateľ: LAP LAMBERT Academic Publishing

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80.96 €

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

Informácie o knihe

Autor

Abdul Joseph Fofanah

Jazyk

Angličtina

Väzba

Kniha - Brožovaná

Vydalo

2021

Stránok

376

EAN

9786204727103

ISBN

6204727109

Enbook ID

38448524

Vydavateľ

LAP LAMBERT Academic Publishing

Hmotnosť

578

Rozmery

150 x 220 x 23

Kompletný 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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Machine Learning Algorithms: Theory and Practice

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