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.
|