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A Beginners Guide for Machine Learning

A Beginners Guide for Machine Learning

von Asmita Pawar-Dighavkar
Softcover - 9786137382349
35,90 €
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Beschreibung

To explain a problem on a computer, we necessitate an efficient algorithm. An algorithm is a high sequence of instructions that should be agreed out to transform the input to output. In machine learning first we give input to our system then we predict an output. After predicting output we have to design an algorithm. For example, one can develop an algorithm for sorting. The input is a set of information and the output is their ordered list. For the same task, there may be various algorithms and we may be involved in finding the well-organized one, requiring the less number of commands or memory or both.

Details

Verlag LAP LAMBERT Academic Publishing
Ersterscheinung 02. Mai 2018
Maße 22 cm x 15 cm x 0.4 cm
Gewicht 96 Gramm
Format Softcover
ISBN-13 9786137382349
Seiten 52