Introduction to Data Science and Machine Learning
| dc.contributor.editor | Sud, Keshav | |
| dc.contributor.editor | Erdogmus, Pakize | |
| dc.contributor.editor | Kadry, Seifedine | |
| dc.date.accessioned | 2021-04-20T16:12:18Z | |
| dc.date.available | 2021-04-20T16:12:18Z | |
| dc.date.issued | 2020 | |
| dc.identifier | ONIX_20210420_9781838803346_2746 | |
| dc.identifier.uri | https://directory.doabooks.org/handle/20.500.12854/67387 | |
| dc.description.abstract | “Introduction to Data Science and Machine Learning” has been created with the goal to provide beginners seeking to learn about data science, data enthusiasts, and experienced data professionals with a deep understanding of data science application development using open-source programming from start to finish. This book is divided into four sections: the first section contains an introduction to the book, the second covers the field of data science, software development, and open-source based embedded hardware; the third section covers algorithms that are the decision engines for data science applications; and the final section brings together the concepts shared in the first three sections and provides several examples of data science applications. | |
| dc.language | English | |
| dc.subject.classification | thema EDItEUR::U Computing and Information Technology::UN Databases::UNF Data mining | en_US |
| dc.subject.other | Data mining | |
| dc.title | Introduction to Data Science and Machine Learning | |
| dc.type | book | |
| oapen.identifier.doi | 10.5772/intechopen.77469 | |
| oapen.relation.isPublishedBy | 78a36484-2c0c-47cb-ad67-2b9f5cd4a8f6 | |
| oapen.relation.isbn | 9781838803346 | |
| oapen.relation.isbn | 9781838803339 | |
| oapen.relation.isbn | 9781838803711 | |
| oapen.imprint | IntechOpen | |
| oapen.pages | 232 |
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