Feature Engineering Bookcamp
Sinan Ozdemir, "Feature Engineering Bookcamp"
English | ISBN: 1617299790 | 2022 | 272 pages | AZW | 10 MB
English | ISBN: 1617299790 | 2022 | 272 pages | AZW | 10 MB
Deliver huge improvements to your machine learning pipelines without spending hours fine-tuning parameters! This book’s practical case-studies reveal feature engineering techniques that upgrade your data wrangling—and your ML results.
In Feature Engineering Bookcamp you will learn how to:
Identify and implement feature transformations for your data
Build powerful machine learning pipelines with unstructured data like text and images
Quantify and minimize bias in machine learning pipelines at the data level
Use feature stores to build real-time feature engineering pipelines
Enhance existing machine learning pipelines by manipulating the input data
Use state-of-the-art deep learning models to extract hidden patterns in data
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