| Tag |
First Indicator |
Second Indicator |
Subfields |
| LEADER |
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| 001 |
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| 006 |
m o c |
| 007 |
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| 007 |
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| 008 |
190122s2019 enk--- f o vleng d |
| 005 |
20241105202936.2 |
| 035 |
|
|
|a (OCoLC)on1091276017
|
| 040 |
|
|
|a SGPBL
|b eng
|e rda
|e pn
|c SGPBL
|d OCLCF
|d OCLCO
|d AGL
|d OCLCO
|d OCLCQ
|d OCLCO
|
| 020 |
|
|
|a 9781526488787
|q (streaming video)
|
| 020 |
|
|
|a 1526488787
|
| 035 |
|
|
|a (OCoLC)1091276017
|
| 041 |
0 |
|
|j eng
|
| 050 |
|
4 |
|a Q325.75
|b .M33 2019
|
| 070 |
0 |
|
|a Q325.75
|b .M33 2019
|
| 082 |
0 |
4 |
|a 006.31
|2 23
|
| 049 |
|
|
|a TXAM
|
| 245 |
0 |
0 |
|a Machine learning & predictive modelling for recommendations & insight :
|b Mallzee.
|
| 246 |
3 |
|
|a Machine learning and predictive modelling for recommendations and insight
|
| 264 |
|
1 |
|a London :
|b SAGE Publications Ltd,
|c 2019.
|
| 300 |
|
|
|a 1 online resource (1 video file (00:12:42)) :
|b sound, colour
|
| 336 |
|
|
|a two-dimensional moving image
|b tdi
|2 rdacontent
|
| 337 |
|
|
|a computer
|b c
|2 rdamedia
|
| 337 |
|
|
|a video
|b v
|2 rdamedia
|
| 338 |
|
|
|a online resource
|b cr
|2 rdacarrier
|
| 511 |
0 |
|
|a Speaker, Cally Russell, and Speaker, Martina Pugliese.
|
| 520 |
8 |
|
|a Cally Russell, CEO, and Martina Pugliese, data scientist, at Mallzee, a multi-retail shopping app, discuss how the Mallzee app fulfills a one-stop-shop consumer need in the age of mobile-device shopping. Developed using machine-learning algorithms, the app can be personalized to the user while providing product performance, merchandising, and marketing insights to the retailer.
|
| 546 |
|
|
|a Closed-captions in English.
|
| 588 |
|
|
|a Description based on XML content.
|
| 650 |
|
0 |
|a Supervised learning (Machine learning)
|
| 650 |
|
0 |
|a Predictive control.
|
| 650 |
|
0 |
|a Consumer behavior.
|
| 650 |
|
0 |
|a Retail trade.
|
| 650 |
|
0 |
|a Quantitative research.
|
| 650 |
|
6 |
|a Apprentissage supervisé (Intelligence artificielle)
|
| 650 |
|
6 |
|a Commande prédictive.
|
| 650 |
|
6 |
|a Consommateurs
|x Comportement.
|
| 650 |
|
6 |
|a Commerce de détail.
|
| 650 |
|
6 |
|a Recherche quantitative.
|
| 650 |
|
7 |
|a Consumer behavior
|2 fast
|
| 650 |
|
7 |
|a Predictive control
|2 fast
|
| 650 |
|
7 |
|a Quantitative research
|2 fast
|
| 650 |
|
7 |
|a Retail trade
|2 fast
|
| 650 |
|
7 |
|a Supervised learning (Machine learning)
|2 fast
|
| 700 |
1 |
|
|a Russell, Cally,
|e on-screen presenter.
|
| 700 |
1 |
|
|a Pugliese, Martina,
|e on-screen presenter.
|
| 856 |
4 |
0 |
|u http://proxy.library.tamu.edu/login?url=https://methods.sagepub.com/video/machine-learning-and-predictive-modelling-for-recommendations-and-insight-m
|z Connect to this streaming video
|t 0
|
| 955 |
|
|
|a SAGE Research Methods Video Data Science, Big Data Analytics, and Digital Methods
|
| 994 |
|
|
|a 92
|b TXA
|
| 999 |
f |
f |
|s 817d5b7f-e580-4043-a8f4-5b2110c1da31
|i ed218fd3-6ad5-4a89-bf23-3f7ed4e1d1df
|t 0
|
| 952 |
f |
f |
|a Texas A&M University
|b College Station
|c Electronic Resources
|d Available Online
|t 0
|e Q325.75 .M33 2019
|h Library of Congress classification
|
| 998 |
f |
f |
|a Q325.75 .M33 2019
|t 0
|l Available Online
|