Mastering machine learning algorithms : expert techniques for implementing popular machine learning algorithms, fine-tuning your models, and understanding how they work, Second Edition
dc.contributor.author | Bonaccorso, Giuseppe | en_us |
dc.date.accessioned | 2025-04-21T01:54:02Z | |
dc.date.available | 2025-04-21T01:54:02Z | |
dc.date.issued | 2020 | en_us |
dc.identifier.isbn | 9781838821913 | en_us |
dc.identifier.other | HPU2166473 | en_us |
dc.identifier.uri | https://lib.hpu.edu.vn/handle/123456789/35679 | |
dc.description.abstract | An 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.extent | 799 p. | en_us |
dc.format.mimetype | application/pdf | |
dc.language.iso | en | en_us |
dc.publisher | Packt Publishing | en_us |
dc.subject | Artificial Intelligence | en_us |
dc.subject | Machine learning | en_us |
dc.subject | Deep learning | en_us |
dc.title | Mastering machine learning algorithms : expert techniques for implementing popular machine learning algorithms, fine-tuning your models, and understanding how they work, Second Edition | en_us |
dc.type | Book | en_us |
dc.size | 34.9 MB | en_us |
dc.department | Technology | en_us |
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