| 008 |
|
170621s2017 nyua 001 0 eng d |
| 010 |
|
|a 2017287594
|
| 020 |
|
|a9781633430273 (pbk.) :|cUSD44.99
|
| 020 |
|
|a1633430278 (pbk.)
|
| 040 |
|
|dNOU
|
| 050 |
00
|
|aQA76.9.D343|bG7526 2017
|
| 095 |
|
|aLB|bLBF|cE020155|dQA76.9.D343|eG589|y2017|fWJ|n1224|pBook|tLCC
|
| 100 |
1
|
|aGodsey, Brian.
|
| 245 |
10
|
|aThink like a data scientist :|btackle the data science process step-by-step /|cBrian Godsey
|
| 260 |
|
|aShelter Island :|bManning,|cc2017.
|
| 300 |
|
|axxii, 306 p. :|bill. ;|c24 cm.
|
| 500 |
|
|aIncludes index.
|
| 505 |
0
|
|aPart 1. Preparing and gathering data and knowledge. Philosophies of data science -- Setting goals by asking good questions -- Data all around us: the virtual wilderness -- Data wrangling: from capture to domestication -- Data assessment: poking and prodding -- Part 2. Building a product with software and statistics. Developing a plan -- Statistics and modeling: concepts and foundations -- Software: statistics in action -- Supplementary software: bigger, faster, more efficient -- Plan execution: putting it all together -- Part 3. Finishing off the product and wrapping up. Delivering a product -- After product delivery: problems and revisions -- Wrapping up: putting the project away.
|
| 650 |
0
|
|aData mining.
|
| 650 |
0
|
|aBig data.
|
| 650 |
0
|
|aElectronic data processing.
|
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