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Title: Machine learning with Python cookbook : practical solutions from preprocessing to deep learning /
Authors: Kyle Gallatin
Chris Albon
Keywords: Apprentissage automatique | Machine learning | Python (Computer program language) | Python (Ngôn ngữ lập trình máy tính)
Issue Date: 2023
Publisher: O'Reilly Media
Abstract: This practical guide provides more than 200 self-contained recipes to help you solve machine learning challenges you may encounter in your work. If you're comfortable with Python and its libraries, including pandas and scikit-learn, you'll be able to address specific problems, from loading data to training models and leveraging neural networks. Each recipe in this updated edition includes code that you can copy, paste, and run with a toy dataset to ensure that it works. From there, you can adapt these recipes according to your use case or application. Recipes include a discussion that explains the solution and provides meaningful context. Go beyond theory and concepts by learning the nuts and bolts you need to construct working machine learning applications.
URI: http://thuvienso.thanglong.edu.vn//handle/TLU/11815
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