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wyszukanych pozycji: 2
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Feature Engineering for Machine Learning: Principles and Techniques for Data Scientists
ISBN: 9781491953242 / Angielski / Miękka / 2018 / 630 str. Termin realizacji zamówienia: ok. 8-10 dni roboczych (Dostawa przed świętami) Feature engineering is essential to applied machine learning, but using domain knowledge to strengthen your predictive models can be difficult and expensive. To help fill the information gap on feature engineering, this complete hands-on guide teaches beginning-to-intermediate data scientists how to work with this widely practiced but little discussed topic. Author Alice Zheng explains common practices and mathematical principles to help engineer features for new data and tasks. If you understand basic machine learning concepts like supervised and unsupervised learning, you're ready... Feature engineering is essential to applied machine learning, but using domain knowledge to strengthen your predictive models can be difficult and ... |
cena:
272,30 zł |
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A Survey of Statistical Network Models
ISBN: 9781601983206 / Angielski / Miękka / 2010 / 120 str. Termin realizacji zamówienia: ok. 13-18 dni roboczych. Networks have found a prominent place in our everyday life. In science, networks have been used to analyze interpersonal social relationships, communication, academic paper co-authorships and citations, protein interaction patterns, and much more. Popular books on networks and their analysis began to appear a decade ago, and online "networking communities" such as Facebook, MySpace, and LinkedIn now include millions of people from around the world. Formal statistical modeling for the analysis of network data has emerged as a major research topic in diverse areas of study. A Survey of...
Networks have found a prominent place in our everyday life. In science, networks have been used to analyze interpersonal social relationships, communi...
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cena:
411,83 zł |
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