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vls/2603nrwcece.visuallibrary.netvdMachine learning with Python cookbookpractical solutions from preprocessing to deep learningGallatin, KyleautAlbon, ChrisauttextbookBeijingO'ReillyJuly 20232023Second editionmonographic© 2023engxiv, 398 SeitenIllustrationen, DiagrammeThis 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 all the way 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 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.Kyle Gallatin and Chris AlbonMachine learningPython (Computer program language)bisacsh COMPUTERS Data Science Machine Learningbisacsh COMPUTERS Data Science Neural Networksbisacsh COMPUTERS Programming Generalbisacsh COMPUTERS Languages Pythonbisacsh COMPUTERS Artificial Intelligence GeneralPython <Programmiersprache>Maschinelles LernenBVBBV049046116978-1-098-13572-0HT03036262320231006202402022530216rda https://ce.visuallibrary.net//domainresource/static/graphics/connectors/viewerLogo.gif http://193.30.112.129:83/F/?func=find-c&ccl_term=ICS%3D2530216 https://ce.visuallibrary.net/id/1263222 https://ce.visuallibrary.net/i3f/v20/1263222/manifest https://ce.visuallibrary.net/proto_ftsearch/1263222