000 | 01510nam a22002177a 4500 | ||
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008 | 230420b ||||| |||| 00| 0 eng d | ||
020 | _a9789352138326 (pbk) | ||
082 |
_a005.7565 _bGRU |
||
100 |
_aGrus, Joel _98525 |
||
245 |
_aData science from scratch : _bfirst principles with Python |
||
250 | _a2nd ed. | ||
260 |
_aMumbai _bO'Reilly _bShroff Publishers & Distributors Pvt.Ltd. _c2019 |
||
300 | _axvii, 384p. | ||
500 | _ahttps://www.shroffpublishers.com/books/9789352138326/ | ||
520 | _a"All Indian Reprints of O'Reilly are printed in Grayscale. Data science libraries, frameworks, modules, and toolkits are great for doing data science, but theyre also a good way to dive into the discipline without actually understanding data science. With this updated second edition, youll learn how many of the most fundamental data science tools and algorithms work by implementing them from scratch. If you have an aptitude for mathematics and some programming skills, author Joel Grus will help you get comfortable with the math and statistics at the core of data science, and with hacking skills you need to get started as a data scientist. Todays messy glut of data holds answers to questions no ones even thought to ask. This book provides you with the know-how to dig those answers out." | ||
650 |
_aPython (Computer program language) _9559 |
||
650 |
_aDatabase management _93216 |
||
650 |
_aData structures (Computer science) _91531 |
||
700 |
_a _98566 |
||
942 | _cBK | ||
999 |
_c8432 _d8432 |