Kniha Thoughtful Machine Learning Matthew Kirk

Thoughtful Machine Learning

Autor: Matthew Kirk
Jazyk: Angličtina
Vazba: Brožovaná
Dostupnost: Skladem u dodavatele
Odesíláme za 9-15 dnů
987
Apply a fully test-driven approach to machine-learning algorithms, and save yourself the pain of mis...

Informace o knize

Autor
Jazyk
Angličtina
Vazba
Kniha - Brožovaná
Vydáno
2014
Stránek
234
EAN
9781449374068
ISBN
1449374069
Enbook ID
02774739
Hmotnost
414
Rozměry
234 x 178 x 13

Kompletní popis

Apply a fully test-driven approach to machine-learning algorithms, and save yourself the pain of missing mistakes in your analyses. Most data scientists have run an analysis and simply accepted any answer that wasn't an error message. But just because it runs doesn't mean it's correct. Missed mistakes can ruin research and harm reputations. All of that can be avoided by writing tests and building checks into your work. This book shows you how to write tests and build checks into their work. Using the Ruby programming language, software developers, business analysts, and CTOs will learn how to test machine-learning code, and understand what's happening "behind the scenes." Code machine-learning algorithms in a test-driven way Gain confidence to utilize machine learning Dissect algorithms from the granular pieces using unit tests Get real-world examples of utilizing machine learning code

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