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Data Analytics: A Small Data Approach (Chapman & Hall/CRC Data Science Series) - Tapa dura

Libro 11 de 36: Chapman & Hall/CRC Data Science

Huang, Shuai; Deng, Houtao

 
9780367609504: Data Analytics: A Small Data Approach (Chapman & Hall/CRC Data Science Series)
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ISBN 10: 0367609509 ISBN 13: 9780367609504
Editorial: Chapman and Hall/CRC, 2021

Sinopsis

Data Analytics: A Small Data Approach is suitable for an introductory data analytics course to help students understand some main statistical learning models. It has many small datasets to guide students to work out pencil solutions of the models and then compare with results obtained from established R packages. Also, as data science practice is a process that should be told as a story, in this book there are many course materials about exploratory data analysis, residual analysis, and flowcharts to develop and validate models and data pipelines.

The main models covered in this book include linear regression, logistic regression, tree models and random forests, ensemble learning, sparse learning, principal component analysis, kernel methods including the support vector machine and kernel regression, and deep learning. Each chapter introduces two or three techniques. For each technique, the book highlights the intuition and rationale first, then shows how mathematics is used to articulate the intuition and formulate the learning problem. R is used to implement the techniques on both simulated and real-world dataset. Python code is also available at the book’s website: http://dataanalyticsbook.info.

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Acerca del autor

Shuai Huang is an associate professor at the department of industrial & systems engineering at the university of Washington. He conducts interdisciplinary research in machine learning, data analytics, and applied operations research with applications on healthcare, manufacturing, and transportation areas.

Houtao Deng is a data science researcher and practitioner. He developed several new decision tree methods such as inTrees. He has built data-driven products for forecasting, scheduling, pricing, recommendation, fraud detection, and image recognition.

"Sobre este título" puede pertenecer a otra edición de este libro.

Editorial
Chapman and Hall/CRC
Año de publicación
2021
Idioma
Inglés
ISBN 10 
0367609509
ISBN 13 
9780367609504
Encuadernación
Tapa dura
Número de edición
1
Número de páginas
257
Contacto del fabricante
Taylor and Francis, GPSR Taylor and Francis
gpsr@taylorandfrancis.com

Taylor & Francis Verlag GmbH, Kaufingerstraße 24
München
80331
Alemania

Otras ediciones populares con el mismo título

9781032792897: Data Analytics: A Small Data Approach

Edición Destacada

ISBN 10:  1032792892 ISBN 13:  9781032792897
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