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The Art of Feature Engineering Duboue Paperback Cambridge University Press

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Product Description

The Art of Feature Engineering

Essentials for Machine Learning

A practical guide for data scientists who want to improve the performance of any machine learning solution with feature engineering.

Pablo Duboue (Author)

9781108709385, Cambridge University Press

Paperback, published 25 June 2020

284 pages

22.8 x 15.2 x 1.6 cm, 0.42 kg

'This book provides a large catalogue of feature manipulation techniques along with non-trivial examples to illustrate their applicability and impact on performance. It could be suitable as a textbook for an upper level undergrad or graduate text mining or multimodal data analysis class. Recent graduates starting in field data mining and text analysis will find this a useful text.' Wlodek Zadrozny, University of North Carolina

When machine learning engineers work with data sets, they may find the results aren't as good as they need. Instead of improving the model or collecting more data, they can use the feature engineering process]

The Art of Feature Engineering Duboue Paperback Cambridge University Press

The Art of Feature Engineering

Essentials for Machine Learning

A practical guide for data scientists who want to improve the performance of any machine learning solution with feature engineering.

Pablo Duboue (Author)

9781108709385, Cambridge University Press

Paperback, published 25 June 2020

284 pages

22.8 x 15.2 x 1.6 cm, 0.42 kg

'This book provides a large catalogue of feature manipulation techniques along with non-trivial examples to illustrate their applicability and impact on performance. It could be suitable as a textbook for an upper level undergrad or graduate text mining or multimodal data analysis class. Recent graduates starting in field data mining and text analysis will find this a useful text.' Wlodek Zadrozny, University of North Carolina

When machine learning engineers work with data sets, they may find the results aren't as good as they need. Instead of improving the model or collecting more data, they can use the feature engineering process]

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