Supervised Machine Learning: Optimization Framework and Applications with SAS and R
Author:   Tanya Kolosova ,  Samuel Berestizhevsky
Publisher:   Taylor & Francis Ltd
ISBN:  

9780367277321


Pages:   160
Publication Date:   22 September 2020
Format:   Hardback
Availability:   In Print   Availability explained
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Supervised Machine Learning: Optimization Framework and Applications with SAS and R


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Author:   Tanya Kolosova ,  Samuel Berestizhevsky
Publisher:   Taylor & Francis Ltd
Imprint:   Chapman & Hall/CRC
Weight:   0.394kg
ISBN:  

9780367277321


ISBN 10:   0367277328
Pages:   160
Publication Date:   22 September 2020
Audience:   College/higher education ,  General/trade ,  Tertiary & Higher Education ,  General
Format:   Hardback
Publisher's Status:   Active
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

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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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