[PDF.25at] Feature Engineering for Machine Learning Models: Principles and Techniques for Data Scientists

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 f...

You can specify the type of files you want, for your gadget.Feature Engineering for Machine Learning Models: Principles and Techniques for Data Scientists   |  Alice Zheng, Amanda Casari. I have read it a couple of times and even shared with my family members. Really good. Couldnt put it down.