Numsense! Data Science for the Layman

Annalyn Ng, Kenneth Soo

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