Download Pdf Feature Engineering for Machine

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

• Feature Engineering for Machine Learning: Principles and Techniques for Data Scientists
• Alice Zheng, Amanda Casari
• Page: 214
• Format: pdf, ePub, mobi, fb2
• ISBN: 9781491953242
• Publisher: O'Reilly Media, Incorporated

Feature Engineering for Machine Learning: Principles and Techniques for Data Scientists

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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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Principles and Techniques for Data Scientists The O'Reilly logo is a registered trademark of O'Reilly Media, Inc. Mastering Feature Engineering, the 9. TheMachine Learning Pipeline. 10. Data. 11. Tasks. 11. Models. 12. Features. 13. 2. Basic Feature Engineering for Text Data: Flatten and Filter.
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Feature Engineering for Machine Learning Models. Feature Engineering forMachine Learning Models. 作者: Alice Zheng 出版社: O′Reilly 原作名: MasteringFeature Engineering Principles and Techniques for Data Scientists 出版年: 2017- 12-31 页数: 200 定价: GBP 34.50 装帧: Paperback ISBN: 9781491953242. 豆瓣 评分.
Mastering Feature Engineering: Principles and Techniques for Data
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 
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