Feature Engineering Bookcamp you own this product

Sinan Ozdemir
  • MEAP began November 2021
  • Publication in October 2022 (estimated)
  • ISBN 9781617299797
  • 272 pages (estimated)
  • printed in black & white
filed under

placing your order...

Don't refresh or navigate away from the page.
eBook Our eBooks come in DRM-free Kindle, ePub, and PDF formats + liveBook, our enhanced eBook format accessible from any web browser. $23.99 $47.99 you save $24 (50%)
Feature Engineering Bookcamp (eBook) added to cart
continue shopping
go to cart

print + eBook Receive a print copy shipped to your door + the eBook in Kindle, ePub, & PDF formats + liveBook, our enhanced eBook format accessible from any web browser. $41.99 $59.99 you save $18 (30%)
FREE domestic shipping on orders of three or more print books
Feature Engineering Bookcamp (print + eBook) added to cart
continue shopping
go to cart

Stop tuning your ML model; learn more about features engineering; it will change your life.

Mikael Dautrey
Look inside
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 start deep learning models to extract hidden patterns in data

Feature Engineering Bookcamp guides you through a collection of projects that give you hands-on practice with core feature engineering techniques. You’ll work with feature engineering practices that speed up the time it takes to process data and deliver real improvements in your model’s performance. This instantly-useful book skips the abstract mathematical theory and minutely-detailed formulas; instead you’ll learn through interesting code-driven case studies, including tweet classification, COVID detection, recidivism prediction, stock price movement detection, and more.

about the technology

Feature engineering is the secret weapon for improving your machine learning’s output. By enhancing the data ingestion, manipulation, and transformation elements of your pipeline, you can see dramatic improvements in your downstream results without endlessly fine-tuning parameters or chasing the latest models.

about the book

Feature Engineering Bookcamp delivers hands-on experience with important techniques for optimizing your training data. As you practice your skills in cleaning and transforming data, working with unstructured image and text data, and implementing bias mitigation, you’ll quickly see improvements in your end results. You’ll learn by exploring real-world scenarios from different domains, including healthcare, finance, and natural language processing.

about the reader

For experienced machine learning engineers familiar with Python.

about the author

Sinan Ozdemir is the director of data science at Directly, managing the AI and machine learning models that power the company’s intelligent customer support platform. He is a former lecturer of data science at Johns Hopkins University and the author of multiple textbooks on data science and machine learning. He holds a master’s degree in pure mathematics from Johns Hopkins University and is based in San Francisco, CA.

FREE domestic shipping on orders of three or more print books

Excellent writing. Simple, crisp, and to the point.

Amaresh Rajasekharan

Practical pieces of knowledge about a crucial and often difficult task, all in one place!

Maxim Volgin

A fun-filled deep dive into the world of feature engineering taking you all the way from theory to practical development.

Satej Kumar Sahu