Supervised Machine Learning: Optimization Framework and Applications with SAS and R - Hardcover

Berestizhevsky, Samuel; Kolosova, Tanya

 
9780367277321: Supervised Machine Learning: Optimization Framework and Applications with SAS and R
Hardcover
ISBN 10: 0367277328 ISBN 13: 9780367277321
Verlag: Chapman and Hall/CRC, 2020

Inhaltsangabe

AI framework intended to solve a problem of bias-variance tradeoff for supervised learning methods in real-life applications. It comprises of bootstrapping to create multiple training and testing data sets, design and analysis of statistical experiments and optimal hyper-parameters for ML methods.

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Über die Autorin bzw. den Autor

Tanya Kolosova is a statistician, software engineer, an educator, and a co-author of two books on statistical analysis and metadata-based applications development using SAS. Tanya is an actionable analytics expert, she has extensive knowledge of software development methods and technologies, artificial intelligence methods and algorithms, and statistically designed experiments.

Samuel Berestizhevsky is a statistician, researcher and software engineer. Together with Tanya, Samuel co-authored two books on statistical analysis and metadata-based applications development using SAS. Samuel is an innovator and an expert in the area of automated actionable analytics and artificial intelligence solutions. His extensive knowledge of software development methods, technologies and algorithms allows him to develop solutions on the cutting edge of science.

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Verlag
Chapman and Hall/CRC
Erscheinungsdatum
2020
Sprache
Englisch
ISBN 10 
0367277328
ISBN 13 
9780367277321
Einband
Tapa dura
Auflage
1
Anzahl der Seiten
184
Kontakt zum Hersteller
Nicht verfügbar
Verantwortliche Person
Nicht verfügbar

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9780367538828: Supervised Machine Learning: Optimization Framework and Applications with SAS and R

Vorgestellte Ausgabe

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Verlag: Chapman and Hall/CRC, 2022
Softcover