Please use this identifier to cite or link to this item: http://lib.hpu.edu.vn/handle/123456789/35679
Full metadata record
DC FieldValueLanguage
dc.contributor.authorBonaccorso, Giuseppeen_us
dc.date.accessioned2025-04-21T01:54:02Z-
dc.date.available2025-04-21T01:54:02Z-
dc.date.issued2020en_us
dc.identifier.isbn9781838821913en_us
dc.identifier.otherHPU2166473en_us
dc.identifier.urihttps://lib.hpu.edu.vn/handle/123456789/35679-
dc.description.abstractAn easy-to-follow, step-by-step guide for getting to grips with the real-world application of machine learning algorithms Key Features Explore statistics and complex mathematics for data-intensive applicationsDiscover new developments in EM algorithm, PCA, and bayesian regressionStudy patterns and make predictions across various datasets Book Description Machine learning has gained tremendous popularity for its powerful and fast predictions with large datasets. However, the true forces behind its powerful output are the complex algorithms involving substantial statistical analysis that churn large datasets and generate substantial insight. This second edition of Machine Learning Algorithms walks you through prominent development outcomes that have taken place relating to machine learning algorithms, which constitute major contributions to the machine learning process and help you to strengthen and master statistical interpretation...en_us
dc.format.extent799 p.en_us
dc.format.mimetypeapplication/pdf
dc.language.isoenen_us
dc.publisherPackt Publishingen_us
dc.subjectArtificial Intelligenceen_us
dc.subjectMachine learningen_us
dc.subjectDeep learningen_us
dc.titleMastering machine learning algorithms : expert techniques for implementing popular machine learning algorithms, fine-tuning your models, and understanding how they work, Second Editionen_us
dc.typeBooken_us
dc.size34.9 MBen_us
dc.departmentTechnologyen_us
Appears in Collections:Technology

Files in This Item:
File Description SizeFormat 
Mastering-machine-learning-algorithms-2ed.pdf
  Restricted Access
35.81 MBAdobe PDFThumbnail
View/Open Request a copy


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.