Item Infomation
Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Steven S. Skiena | - |
| dc.date.accessioned | 2023-02-23T02:08:46Z | - |
| dc.date.available | 2023-02-23T02:08:46Z | - |
| dc.date.issued | 2017 | - |
| dc.identifier.uri | http://thuvienso.thanglong.edu.vn//handle/TLU/5730 | - |
| dc.description.abstract | The book does not emphasize any particular programming language or suite of data-analysis tools, focusing instead on high-level discussion of important design principles. This easy-to-read text ideally serves the needs of undergraduate and early graduate students embarking on an "Introduction to Data Science" course. It reveals how this discipline sits at the intersection of statistics, computer science, and machine learning, with a distinct heft and character of its own. Practitioners in these and related fields will find this book perfect for self-study as well. | vi |
| dc.language.iso | en | vi |
| dc.publisher | Cham. Springer | vi |
| dc.subject | Pattern recognition | Statistics | Pattern Recognition | Data Science | Khoa học dữ liệu | vi |
| dc.title | The Data Science Design Manual | vi |
| dc.type | Book | vi |
| Appears in Collections | Tin học | |
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