| 008 |
|
240618s2018 ch ad e 000 0 eng d |
| 010 |
|
|a2018302039
|
| 020 |
|
|a9781491953242(pbk)|cUS65.99
|
| 020 |
|
|a1491953241(pbk)
|
| 035 |
|
|a(OCoLC)ocn957747646
|
| 040 |
|
|aDLC|beng|dNOU
|
| 050 |
00
|
|aQ325.5|b.Z63 2018
|
| 095 |
|
|aLB|bLBF|cE020312|dQ325.5|e.Z63|y2018|fpeace0508|n1832|pBook|tLCC
|
| 100 |
1
|
|aZheng, Alice|eeditor.
|
| 245 |
00
|
|aFeature Engineering for Machine Learning:|bPRINCIPLES AND TECHNIQUES FOR DATA SCIENTISTS /|cAlice Zheng and Amanda Casari.
|
| 246 |
30
|
|aPRINCIPLES AND TECHNIQUES FOR DATA SCIENTISTS
|
| 250 |
|
|aFirst ed.
|
| 260 |
|
|aBeijing :|bO'Reilly,|c2018
|
| 300 |
|
|a200 pages :|billustrations ,Charts;|c24 cm.
|
| 504 |
|
|aIncludes bibliographical references and index.|tThe machine learning pipeline --|tFancy tricks with simple numbers --|tText data : flattening, filtering, and chunking --|tThe effects of feature scaling : from bag-of-words to Tf-Idf --|tCategorical variables : counting
|
| 650 |
0
|
|aMachine learning.
|
| 650 |
0
|
|aData mining.
|
| 700 |
1
|
|aCasari, Amanda.,|eeditor.
|
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