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| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Nabanita Dash | - |
| dc.date.accessioned | 2024-11-19T03:13:50Z | - |
| dc.date.available | 2024-11-19T03:13:50Z | - |
| dc.date.issued | 2024 | - |
| dc.identifier.uri | http://thuvienso.thanglong.edu.vn//handle/TLU/11721 | - |
| dc.description.abstract | This book takes you through a step-by-step learning journey, starting with the essentials of Julia's syntax, variables, and functions. You'll unlock the power of efficient data handling by leveraging Julia arrays and DataFrames.jl for insightful analysis. Develop expertise in both basic and advanced statistical models, providing a robust toolkit for deriving meaningful data-driven insights. The journey continues with machine learning proficiency, where you'll | vi |
| dc.language.iso | en | vi |
| dc.subject | Data Science | DataFrames | Xử lý dữ liệu | vi |
| dc.title | Ultimate Parallel and Distributed Computing with Julia for Data Science | vi |
| dc.type | Sách/Book | vi |
| Appears in Collections | Tin học | |
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