Introduction to Algorithms for Data Mining and Machine Learning

Cargando comentarios…

Envío gratis siempre

Comentarios

Cargando el resumen…

Por favor, inicia sesión para escribir un comentario.

Cargando comentarios…

2810271Introduction to Algorithms for Data Mining and Machine Learninghttps://www.gandhi.com.mx/introduction-to-algorithms-for-data-mining-and-machine-learning-9780128172179/phttps://gandhi.vtexassets.com/arquivos/ids/3377895/b51a6052-79de-4e94-942d-9ff6245f1da0.jpg?v=638385288090770000MXNAcademic PressOutOfStock/Ebooks/Introduction to Algorithms for Data Mining and Machine Learning introduces the essential ideas behind all key algorithms and techniques for data mining and machine learning, along with optimization techniques. Its strong formal mathematical approach, well selected examples, and practical software recommendations help readers develop confidence in their data modeling skills so they can process and interpret data for classification, clustering, curve-fitting and predictions. Masterfully balancing theory and practice, it is especially useful for those who need relevant, well explained, but not rigorous (proofs based) background theory and clear guidelines for working with big data. - Presents an informal, theorem-free approach with concise, compact coverage of all fundamental topics - Includes worked examples that help users increase confidence in their understanding of key algorithms, thus encouraging self-study - Provides algorithms and techniques that can be implemented in any programming language, with each chapter including notes about relevant software packages...2746195Introduction to Algorithms for Data Mining and Machine Learning00https://www.gandhi.com.mx/introduction-to-algorithms-for-data-mining-and-machine-learning-9780128172179/phttps://gandhi.vtexassets.com/arquivos/ids/3377895/b51a6052-79de-4e94-942d-9ff6245f1da0.jpg?v=638385288090770000OutOfStockMXN0DIEbook20199780128172179_W3siaWQiOiJmMTc2YTAwNi0xNWVmLTRmZmYtYTZhMy0yNmY3ZjQzNjQ2NzUiLCJsaXN0UHJpY2UiOjk5NywiZGlzY291bnQiOjEwMCwic2VsbGluZ1ByaWNlIjo4OTcsImluY2x1ZGVzVGF4Ijp0cnVlLCJwcmljZVR5cGUiOiJXaG9sZXNhbGUiLCJjdXJyZW5jeSI6Ik1YTiIsImZyb20iOiIyMDI1LTAxLTA4VDE5OjAwOjAwWiIsInJlZ2lvbiI6Ik1YIiwiaXNQcmVvcmRlciI6ZmFsc2V9XQ==9780128172179_Introduction to Algorithms for Data Mining and Machine Learning introduces the essential ideas behind all key algorithms and techniques for data mining and machine learning, along with optimization techniques. Its strong formal mathematical approach, well selected examples, and practical software recommendations help readers develop confidence in their data modeling skills so they can process and interpret data for classification, clustering, curve-fitting and predictions. Masterfully balancing theory and practice, it is especially useful for those who need relevant, well explained, but not rigorous (proofs based) background theory and clear guidelines for working with big data.<ul><li>Presents an informal, theorem-free approach with concise, compact coverage of all fundamental topics</li><li>Includes worked examples that help users increase confidence in their understanding of key algorithms, thus encouraging self-study</li><li>Provides algorithms and techniques that can be implemented in any programming language, with each chapter including notes about relevant software packages</li></ul>...(*_*)9780128172179_Introduction to Algorithms for Data Mining and Machine Learning introduces the essential ideas behind all key algorithms and techniques for data mining and machine learning, along with optimization techniques. Its strong formal mathematical approach, well selected examples, and practical software recommendations help readers develop confidence in their data modeling skills so they can process and interpret data for classification, clustering, curve-fitting and predictions. Masterfully balancing theory and practice, it is especially useful for those who need relevant, well explained, but not rigorous (proofs based) background theory and clear guidelines for working with big data. - Presents an informal, theorem-free approach with concise, compact coverage of all fundamental topics - Includes worked examples that help users increase confidence in their understanding of key algorithms, thus encouraging self-study - Provides algorithms and techniques that can be implemented in any programming language, with each chapter including notes about relevant software packages...9780128172179_Elsevier Science(*_*)9780128172179_Academic Presslibro_electonico_d2fc3e12-8851-3334-847a-52a82b0dcad9_9780128172179;9780128172179_9780128172179Xin-She YangInglésMéxicoAcademic Presshttps://getbook.kobo.com/koboid-prod-public/elsevierrefmonographs-epub-784d77cc-0bdf-47f7-bbd6-5daf1533b993.epub2019-06-17T00:00:00+00:00