Modeling Data With Functional Programming in R by Brian Rowe
Helping readers become successful quants, this book provides them with an understanding of the principles of computational system design. Modern computational and quantitative systems have specific needs and workflows that must be accounted for when designing an analytical system. The book shows how the functional programming paradigm simplifies this design and acts as a lingua franca to the mathematical and computational models. The book describes quantitative development in terms of the statistical programming language R.-
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Music Data Analysis
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Bayesian Artificial Intelligence
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Visualization and Verbalization of Data
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Introduction to Data Technologies
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Combinatorial Inference in Geometric Data Analysis
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Time Series Clustering and Classification
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Correspondence Analysis and Data Coding with Java and R
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Semisupervised Learning for Computational Linguistics
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Pattern Recognition Algorithms for Data Mining
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Design and Modeling for Computer Experiments
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Microarray Image Analysis
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Data Science Foundations
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Textual Data Science with R
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Computational Statistics Handbook with MATLAB
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Bayesian Regression Modeling with INLA
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Exploratory Multivariate Analysis by Example Using R
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Statistics in MATLAB
| SKU | Unavailable |
| ISBN 13 | 9781466570672 |
| ISBN 10 | 1466570679 |
| Title | Modeling Data With Functional Programming in R |
| Author | Brian Rowe |
| Series | Chapman And Hall Crc Computer Science And Data Analysis |
| Condition | Unavailable |
| Binding Type | Hardback |
| Publisher | Taylor & Francis Inc |
| Year published | 2021-01-01 |
| Number of pages | 400 |
| Cover note | Book picture is for illustrative purposes only, actual binding, cover or edition may vary. |
| Note | Unavailable |