| 000 | aam a22 4500 | ||
|---|---|---|---|
| 999 |
_c117256 _d117256 |
||
| 003 | OSt | ||
| 005 | 20200627110926.0 | ||
| 008 | 191009b ||||| |||| 00| 0 eng d | ||
| 020 | _a9781484240588 | ||
| 040 | _c | ||
| 082 |
_a006.312 _bMAI |
||
| 100 |
_aMailund, Thomas _943456 |
||
| 245 | _aBeginning data Science in R: Data Analysis, Visualization and Modelling for the Data Scientist | ||
| 260 |
_bApress _c2018 _aDenmark |
||
| 300 | _a352p | ||
| 500 | _a1. Introduction to R programming 2. Reproducible analysis 3. Data manipulation 4. Visualizing and exploring data 5. Working with large data sets 6. Supervised learning 7. Unsupervised learning 8. More R programming 9. Advanced R programming 10. Object oriented programming 11. Building an R package 12. Testing and checking 13. Version control 14. Profiling and optimizing. | ||
| 600 |
_aComputer programming _91285 |
||
| 942 |
_2ddc _cLB _k006.312 _mMAI |
||