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dc.contributor.author Annalyn Ng, Kenneth Soo
dc.date.accessioned 2023-08-24T12:58:13Z
dc.date.available 2023-08-24T12:58:13Z
dc.date.issued 2017-03-24
dc.identifier.issn 978-9811110689
dc.identifier.uri http://elib.ipa.government.bg:8080/xmlui/handle/123456789/1281
dc.description Want to get started on data science? Our promise: no math added. This book has been written in layman’s terms as a gentle introduction to data science and its algorithms. Each algorithm has its own dedicated chapter that explains how it works, and shows an example of a real-world application. To help you grasp key concepts, we stick to intuitive explanations and visuals. Popular concepts covered include: A/B Testing Anomaly Detection Association Rules Clustering Decision Trees and Random Forests Regression Analysis Social Network Analysis Neural Networks Features: Intuitive explanations and visuals Real-world applications to illustrate each algorithm Point summaries at the end of each chapter Reference sheets comparing the pros and cons of algorithms Glossary list of commonly-used terms With this book, we hope to give you a practical understanding of data science, so that you, too, can leverage its strengths in making better decisions. bg_BG
dc.description.abstract Локация на изданието: книгата се намира в централния офис на ИПА bg_BG
dc.language.iso en bg_BG
dc.relation.isversionof Сигн: 706
dc.title Numsense! Data Science for the Layman bg_BG
dc.title.alternative No Math Added bg_BG
dc.type Book bg_BG


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