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Free download ebook ipod Feature Engineering for Machine Learning: Principles and Techniques for Data Scientists (English Edition) 9781491953242 by

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Feature Engineering for Machine Learning: Principles and Techniques for Data Scientists by Alice Zheng, Amanda Casari








Book details



Title: Feature Engineering for Machine Learning: Principles and Techniques for Data Scientists
Author: Alice Zheng, Amanda Casari
Pages: 214
Format: PDF / EPUB / MOBI
ISBN: 9781491953242
Publisher: O'Reilly Media, Incorporated




Description

Feature Engineering for Machine Learning: Principles and Techniques for Data Scientists by Alice Zheng, Amanda Casari Feature engineering is essential to applied machine learning, but using domain knowledge to strengthen your predictive models can be difficult and expensive. To help fill the information gap on feature engineering, this complete hands-on guide teaches beginning-to-intermediate data scientists how to work with this widely practiced but little discussed topic. Author Alice Zheng explains common practices and mathematical principles to help engineer features for new data and tasks. If you understand basic machine learning concepts like supervised and unsupervised learning, you’re ready to get started. Not only will you learn how to implement feature engineering in a systematic and principled way, you’ll also learn how to practice better data science. Learn exactly what feature engineering is, why it’s important, and how to do it well Use common methods for different data types, including images, text, and logs Understand how different techniques such as feature scaling and principal component analysis work Understand how unsupervised feature learning works in the case of deep learning for images






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Available formats: PDF / EPUB / MOBI

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Free download ebook ipod Feature Engineering for Machine Learning: Principles and Techniques for Data Scientists (English Edition) 9781491953242 by

  1. 1. Feature Engineering for Machine Learning: Principles and Techniques for Data Scientists by Alice Zheng, Amanda Casari
  2. 2. Book details Title: Feature Engineering for Machine Learning: Principles and Techniques for Data Scientists Author: Alice Zheng, Amanda Casari Pages: 214 Format: PDF / EPUB / MOBI ISBN: 9781491953242 Publisher: O'Reilly Media, Incorporated
  3. 3. Description Feature Engineering for Machine Learning: Principles and Techniques for Data Scientists by Alice Zheng, Amanda Casari Feature engineering is essential to applied machine learning, but using domain knowledge to strengthen your predictive models can be difficult and expensive. To help fill the information gap on feature engineering, this complete hands-on guide teaches beginning-to-intermediate data scientists how to work with this widely practiced but little discussed topic. Author Alice Zheng explains common practices and mathematical principles to help engineer features for new data and tasks. If you understand basic machine learning concepts like supervised and unsupervised learning, you’re ready to get started. Not only will you learn how to implement feature engineering in a systematic and principled way, you’ll also learn how to practice better data science. Learn exactly what feature engineering is, why it’s important, and how to do it well Use common methods for different data types, including images, text, and logs Understand how different techniques such as feature scaling and principal component analysis work Understand how unsupervised feature learning works in the case of deep learning for images
  4. 4. Links for download book Available formats: PDF / EPUB / MOBI CLICK HERE FOR DOWNLOAD EBOOK
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