Big Data Analytics Methods Analytics Techniques in Data Mining, Deep Learning and Natural Language Processing
Big Data Analytics Methods unveils secrets to advanced analytics techniques ranging from machine learning, random forest classifiers, predictive modeling, cluster analysis, natural language processing (NLP), Kalman filtering and ensembles of models for optimal accuracy of analysis and prediction
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Main Author: | |
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Format: | Book |
Language: | English |
Published: |
Boston
de Gruyter
2020
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Edition: | Print Book, English, 2020 |
Subjects: | |
Online Access: | Click Here to View Status and Holdings. |
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020 | # | # | |a 9781547417957 |q paperback |
040 | # | # | |a UiTM |b eng |c UiTM |e rda |
041 | 0 | # | |a eng |
090 | 0 | 0 | |a QA76.9.B45 |b G43 2020 |
100 | 1 | # | |a Ghavami, Peter |e author |
245 | 0 | 0 | |a Big Data Analytics Methods |b Analytics Techniques in Data Mining, Deep Learning and Natural Language Processing |c Peter Ghavami |
250 | # | # | |a Print Book, English, 2020 |b Second edition |
264 | # | 1 | |a Boston |b de Gruyter |c 2020 |
300 | # | # | |a xv, 237 pages |b illustrations |c 24 cm |
336 | # | # | |a text |2 rdacontent |
337 | # | # | |a unmediated |2 rdamedia |
338 | # | # | |a volume |2 rdacarrier |
504 | # | # | |a Includes bibliographical references and index |
520 | # | # | |a Big Data Analytics Methods unveils secrets to advanced analytics techniques ranging from machine learning, random forest classifiers, predictive modeling, cluster analysis, natural language processing (NLP), Kalman filtering and ensembles of models for optimal accuracy of analysis and prediction |
526 | 0 | # | |a AP220 Bachelor of Surveying Science and Geomatic |b SILIBUS AP220 |5 FSPU |
546 | # | # | |a In English |
650 | 1 | 0 | |a Natural language processing (Computer science) |
650 | 2 | 0 | |a Big data |
650 | 2 | 0 | |a Data mining |
856 | 4 | 0 | |z Click Here to View Status and Holdings. |u https://opac.uitm.edu.my/opac/detailsPage/detailsHome.jsp?tid=980743 |
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