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Mastering Unlabeled Data (MEAP V06) - ebooks1001 - 01-08-2024
![[Image: deb4185b7e7ad0cf2aa7cf19ebacc5f5.jpeg]](https://i122.fastpic.org/big/2024/0107/f5/deb4185b7e7ad0cf2aa7cf19ebacc5f5.jpeg)
Free Download Mastering Unlabeled Data (MEAP V06)
English | 2023 | ISBN: 9781617298721 | 352 pages | MOBI | 5.86 Mb
Mastering Unlabeled Data introduces mathematical techniques, key algorithms, and Python implementations that will help you build machine learning models for unannotated data. You'll discover hands-off and unsupervised machine learning approaches that can still untangle raw, real-world datasets and support sound strategic decisions for your business. Don't get bogged down in theory-the book bridges the gap between complex math and practical Python implementations, covering end-to-end model development all the way through to production deployment.
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