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    Nhan đề: Machine learning with Python cookbook :

ISBN 9781491989388
DDC 005.133
Tác giả CN Albon, Chris
Nhan đề Machine learning with Python cookbook : practical solutions from preprocessing to deep learning / Chris Albon
Lần xuất bản First Edition
Thông tin xuất bản Sebastopol, CA : O'Reilly Media, 2018
Mô tả vật lý xiii, 349 p. ; 24 cm.
Tóm tắt With Early Release ebooks, you get books in their earliest form--the author's raw and unedited content as he or she writes--so you can take advantage of these technologies long before the official release of these titles. You'll also receive updates when significant changes are made, new chapters are available, and the final ebook bundle is released. The Python programming language and its libraries, including pandas and scikit-learn, provide a production-grade environment to help you accomplish a broad range of machine-learning tasks. With this comprehensive cookbook, data scientists and software engineers familiar with Python will benefit from almost 200 practical recipes for building a comprehensive machine-learning pipeline--everything from data preprocessing and feature engineering to model evaluation and deep learning. Learn from author Chris Albon, a data scientist who has written more than 500 tutorials on Python, data science, and machine learning.
Thuật ngữ chủ đề Python (Computer program language)
Thuật ngữ chủ đề Machine learning
Khoa Khoa Công nghệ Thông tin
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300 |axiii, 349 p. ; |c24 cm.
520 |aWith Early Release ebooks, you get books in their earliest form--the author's raw and unedited content as he or she writes--so you can take advantage of these technologies long before the official release of these titles. You'll also receive updates when significant changes are made, new chapters are available, and the final ebook bundle is released. The Python programming language and its libraries, including pandas and scikit-learn, provide a production-grade environment to help you accomplish a broad range of machine-learning tasks. With this comprehensive cookbook, data scientists and software engineers familiar with Python will benefit from almost 200 practical recipes for building a comprehensive machine-learning pipeline--everything from data preprocessing and feature engineering to model evaluation and deep learning. Learn from author Chris Albon, a data scientist who has written more than 500 tutorials on Python, data science, and machine learning.
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