Title:
Machine learning with Python for everyone
Author:
Publication Date:
2019
2020
Publication Information:
Boston : Addison-Wesley, [2019]
©2020
Physical Description:
xxvi, 555 pages : illustrations ; 23 cm
ISBN:
9780134845623
Abstract:
""Machine learning with Python for everyone" will help you master the processes, patterns, and strategies you need to build effective learning systems, even if you're an absolute beginner. If you can write some Python code, this book is for you, no matter how little college-level math you know. Author Mark E. Fenner relies on plain-English stories, pictures, and Python examples to communicate the ideas of machine learning."-- Provided by publisher
Contents:
Let's discuss learning -- Some technical background -- Predicting categories : getting started with classification -- Predicting numerical values : getting started with regression -- Evaluating and comparing learners -- Evaluating classifiers -- Evaluating regressors -- More classification methods -- More regression methods -- Manual feature engineering : manipulating data for fun and profit -- Turning hyperparameters and pipelines -- Combining learners -- Models that engineer features for us -- Feature engineering for domains : domain-specific learning -- Connection, extensions, and further directions -- mlwpy.py listing.
Language:
English
