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dc.contributorAlbon, Chris-
dc.contributor.authorGallatin, Kyle-
dc.date.accessioned2024-03-30T07:18:06Z-
dc.date.available2024-03-30T07:18:06Z-
dc.date.issued2023-
dc.identifier.urihttp://thuvienso.thanglong.edu.vn//handle/TLU/9725-
dc.description.abstractThis 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 networksvi
dc.format.extent109psvi
dc.language.isoenvi
dc.publisherO'Reilly Media, Incvi
dc.subjectLập trình Pythonvi
dc.subjectNgôn ngữ Pythonvi
dc.subjectLập trình phản ứngvi
dc.titleMachine Learning with Python Cookbook: Practical Solutions from Preprocessing to Deep Learningvi
dc.typeSách/Bookvi
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