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http://www.kdnuggets.com/2015/05/poll-analytics-data-mining-data-science-software- used.html#sbm_mv Vote in KDnuggets 16th Annual Poll: What Analytics, Data Mining, Data Science software/tools you used in the past 12 months for a real project?. We will clean and analyze the results and publish our trend analysis afterward What Analytics, Data Mining, Data Science software/tools you used in the past 12 months for a real project (not just evaluation)? 4 categories: Platforms, Languages, Deep Learning, Hadoop. Analytics / Data Mining Platforms / Suites: Actian Alpine Data Labs Alteryx Angoss Amazon Machine Learning Ayasdi BayesiaLab BigML Birst C4.5/C5.0/See5 Datameer Dataiku Dato (former Graphlab) Dell (including Statistica) FICO Model Builder Gnu Octave GoodData H2O (0xdata) IBM Cognos IBM SPSS Modeler IBM SPSS Statistics IBM Watson Analytics JMP KNIME Lavastorm Lexalytics MATLAB Mathematica Megaputer Polyanalyst/TextAnalyst MetaMind Microsoft Azure ML Microsoft SQL Server Microsoft Power BI MicroStrategy Miner3D Ontotext Oracle Data Miner Orange Pentaho Predixion Software QlikView RapidInsight/Veera RapidMiner Rattle Revolution Analytics (now part of Microsoft) SAP (including former KXEN) SAS Enterprise Miner Salford SPM/CART/Random Forests/MARS/TreeNet scikit-learn Skytree SiSense Splunk/ Hunk Stata TIBCO Spotfire Tableau Vowpal Wabbit Weka WordStat XLSTAT for Excel Zementis Other free analytics/data mining tools Other paid analytics/data mining/data science software Languages / low-level tools: C/C++ Clojure Excel F# Java Julia Lisp Perl Python R Ruby SAS base SQL Scala Unix shell/awk/gawk WPS: World Programming System Other programming languages Deep Learning tools Caffe Cuda-convnet Deeplearning4j Torch Theano Pylearn2 Other Deep Learning tools Hadoop-based Analytics-related tools Hadoop HBase Hive Pig Spark Mahout MLlib SQL on Hadoop tools Other Hadoop/HDFS-based tools.

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Date Created Size MB . تماس بگیر ید 09353344788
Name Software ( Search List Ctrl+F ) Date created Size MB برای سفارش هر یک از نرم افزارها با شماره 09123125449 - 09353344788 تماس بگ ریید . \1\ Simulia Abaqus 6.6.3 2013-06-10 435.07 Files: 1 Size: 456,200,192 Bytes (435.07 MB) \2\ Simulia Abaqus 6.7 EF 2013-06-10 1451.76 Files: 1 Size: 1,522,278,400 Bytes (1451.76 MB) \3\ Simulia Abaqus 6.7.1 2013-06-10 584.92 Files: 1 Size: 613,330,944 Bytes (584.92 MB) \4\ Simulia Abaqus 6.8.1 2013-06-10 3732.38 Files: 1 Size: 3,913,689,088 Bytes (3732.38 MB) \5\ Simulia Abaqus 6.9 EF1 2017-09-28 3411.59 Files: 1 Size: 3,577,307,136 Bytes (3411.59 MB) \6\ Simulia Abaqus 6.9 2013-06-10 2462.25 Simulia Abaqus Doc 6.9 2013-06-10 1853.34 Files: 2 Size: 4,525,230,080 Bytes (4315.60 MB) \7\ Simulia Abaqus 6.9.3 DVD 1 2013-06-11 2463.45 Simulia Abaqus 6.9.3 DVD 2 2013-06-11 1852.51 Files: 2 Size: 4,525,611,008 Bytes (4315.96 MB) \8\ Simulia Abaqus 6.10.1 With Documation 2017-09-28 3310.64 Files: 1 Size: 3,471,454,208 Bytes (3310.64 MB) \9\ Simulia Abaqus 6.10.1.5 2013-06-13 2197.95 Files: 1 Size: 2,304,712,704 Bytes (2197.95 MB) \10\ Simulia Abaqus 6.11 32BIT 2013-06-18 1162.57 Files: 1 Size: 1,219,045,376 Bytes (1162.57 MB) \11\ Simulia Abaqus 6.11 For CATIA V5-6R2012 2013-06-09 759.02 Files: 1 Size: 795,893,760 Bytes (759.02 MB) \12\ Simulia Abaqus 6.11.1 PR3 32-64BIT 2013-06-10 3514.38 Files: 1 Size: 3,685,099,520 Bytes (3514.38 MB) \13\ Simulia Abaqus 6.11.3 2013-06-09 3529.41 Files: 1 Size: 3,700,856,832 Bytes (3529.41 MB) \14\ Simulia Abaqus 6.12.1 2013-06-10 3166.30 Files: 1 Size: 3,320,102,912 Bytes
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UNIVERZITET U BEOGRADU MATEMATIČKI FAKULTET Dušica V. Gavrilović Primena statistike u kliničkim istraţivanjima sa osvrtom na korišćenje računarskih programa - Master rad - Mentor: prof. dr Vesna Jevremović Beograd, 2013. godine Zahvalnica Ovaj rad bi bilo veoma teško napisati da nisam imala stručnu podršku, kvalitetne sugestije i reviziju, pomoć prijatelja, razumevanje kolega i beskrajnu podršku porodice. To su razlozi zbog kojih želim da se zahvalim: . Mom mentoru, prof. dr Vesni Jevremović sa Matematičkog fakulteta Univerziteta u Beogradu, koja je bila ne samo idejni tvorac ovog rada već i dugogodišnja podrška u njegovoj realizaciji. Njena neverovatna upornost, razne sugestije, neiscrpni optimizam, profesionalizam i razumevanje, predstavljali su moj stalni izvor snage na ovom master-putu. Članu komisije, doc. dr Zorici Stanimirović sa Matematičkog fakulteta Univerziteta u Beogradu, na izuzetnoj ekspeditivnosti, stručnoj recenziji, razumevanju, strpljenju i brojnim korisnim savetima. Članu komisije, mr Marku Obradoviću sa Matematičkog fakulteta Univerziteta u Beogradu, na stručnoj i prijateljskoj podršci kao i spremnosti na saradnju. Dipl. mat. Radojki Pavlović, šefu studentske službe Matematičkog fakulteta Univerziteta u Beogradu, na upornosti, snalažljivosti i kreativnosti u pronalaženju raznih ideja, predloga i rešenja na putu realizacije ovog master rada. Dugogodišnje prijateljstvo sa njom oduvek beskrajno cenim i oduvek mi mnogo znači. Dipl. mat. Zorani Bizetić, načelniku Data Centra Instituta za onkologiju i radiologiju Srbije, na upornosti, idejama, detaljnoj reviziji, korisnim sugestijama i svakojakoj podršci. Čak i kada je neverovatno ili dosadno ili pametno uporna, mnogo je i dugo volim – skoro ceo moj život. Mast. biol. Jelici Novaković na strpljenju, reviziji, bezbrojnim korekcijama i tehničkoj podršci svake vrste. Hvala na osmehu, budnom oku u sitne sate, izvrsnoj hrani koja me je vraćala u život, nes-kafi sa penom i transfuziji energije kada sam bila na rezervi.
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Brief Overview of Statistical Analytics and Machine Learning tools for Data Scientists Tom Breur 17 January 2017 It is often said that Excel is the most commonly used analytics tool, and that is hard to argue with: it has a Billion users worldwide. Although not everybody thinks of Excel as a Data Science tool, it certainly is often used for “data discovery”, and can be used for many other tasks, too. There are two “old school” tools, SPSS and SAS, that were founded in 1968 and 1976 respectively. These products have been the hallmark of statistics. Both had early offerings of data mining suites (Clementine, now called IBM SPSS Modeler, and SAS Enterprise Miner) and both are still used widely in Data Science, today. They have evolved from a command line only interface, to more user-friendly graphic user interfaces. What they also share in common is that in the core SPSS and SAS are really COBOL dialects and are therefore characterized by row- based processing. That doesn’t make them inherently good or bad, but it is principally different from set-based operations that many other tools offer nowadays. Similar in functionality to the traditional leaders SAS and SPSS have been JMP and Statistica. Both remarkably user-friendly tools with broad data mining and machine learning capabilities. JMP is, and always has been, a fully owned daughter company of SAS, and only came to the fore when hardware became more powerful. Its initial “handicap” of storing all data in RAM was once a severe limitation, but since computers now have large enough internal memory for most data sets, its computational power and intuitive GUI hold their own.
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United States District Court Eastern District of Texas Marshall Division
Case 2:18-cv-00295-JRG Document 1 Filed 07/18/18 Page 1 of 65 PageID #: 1 UNITED STATES DISTRICT COURT EASTERN DISTRICT OF TEXAS MARSHALL DIVISION SAS INSTITUTE INC., Plaintiff, Civil Action No. _________________ vs. Jury Trial Demanded WORLD PROGRAMMING LIMITED, MINEQUEST BUSINESS ANALYTICS, LLC, MINEQUEST LLC, ANGOSS SOFTWARE CORPORATION, LUMINEX SOFTWARE, INC., YUM! BRANDS, INC., PIZZA HUT, INC., SHAW INDUSTRIES GROUP, INC., and HITACHI VANTARA CORPORATION, Defendants. ORIGINAL COMPLAINT Plaintiff SAS Institute Inc. (“SAS”) makes the following allegations against Defendants World Programming Limited (“WPL”), MineQuest Business Analytics, LLC and MineQuest, LLC (collectively, “MineQuest”), Angoss Software Corporation (“Angoss”), Luminex Software, Inc. (“Luminex”), Yum! Brands, Inc. (“Yum”), Pizza Hut, Inc. (“Pizza Hut”), Shaw Industries Group, Inc. (“Shaw”), and Hitachi Vantara Corporation (“Hitachi”), (collectively “Defendants”). SAS alleges that all Defendants are liable to SAS for copyright infringement of the SAS System and SAS Manuals, described below. SAS alleges that WPL, MineQuest, Angoss, and Luminex are liable to SAS for contributory and vicarious copyright infringement of the SAS System and SAS Manuals. SAS alleges that Defendants WPL, Angoss, Yum, and Pizza Hut are liable for infringement of U.S. Patent Nos. 7,170,519 (“the ’519 Patent”), 7,447,686 (“the ’686 Patent”), and 8,498,996 (“the ’996 Patent”) (collectively, the “Patents-in-Suit”). Case 2:18-cv-00295-JRG Document 1 Filed 07/18/18 Page 2 of 65 PageID #: 2 THE NATURE OF THE ACTION 1. This is an action for (a) copyright infringement arising out of Defendants’ willful infringement of various copyrighted SAS materials, and (b) the willful infringement of SAS’s Patents-in-Suit by WPL, Angoss, Yum, and Pizza Hut.
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IBM SPSS Modeler Data Sheet
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Stručný Návod K Ovládání IBM SPSS Statistics a IBM SPSS Modeler Autor Doc
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Comparison of Commonly Used Statistics Package Programs
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Numerical Analysis, Modelling and Simulation
Numerical Analysis, Modelling and Simulation Grifﬁn Cook Numerical Analysis, Modelling and Simulation Numerical Analysis, Modelling and Simulation Edited by Griffin Cook Numerical Analysis, Modelling and Simulation Edited by Griffin Cook ISBN: 978-1-9789-1530-5 © 2018 Library Press Published by Library Press, 5 Penn Plaza, 19th Floor, New York, NY 10001, USA Cataloging-in-Publication Data Numerical analysis, modelling and simulation / edited by Griffin Cook. p. cm. Includes bibliographical references and index. ISBN 978-1-9789-1530-5 1. Numerical analysis. 2. Mathematical models. 3. Simulation methods. I. Cook, Griffin. QA297 .N86 2018 518--dc23 This book contains information obtained from authentic and highly regarded sources. All chapters are published with permission under the Creative Commons Attribution Share Alike License or equivalent. A wide variety of references are listed. Permissions and sources are indicated; for detailed attributions, please refer to the permissions page. Reasonable efforts have been made to publish reliable data and information, but the authors, editors and publisher cannot assume any responsibility for the validity of all materials or the consequences of their use. Copyright of this ebook is with Library Press, rights acquired from the original print publisher, Larsen and Keller Education. Trademark Notice: All trademarks used herein are the property of their respective owners. The use of any trademark in this text does not vest in the author or publisher any trademark ownership rights in such trademarks, nor does the use of such trademarks imply any affiliation with or endorsement of this book by such owners. The publisher’s policy is to use permanent paper from mills that operate a sustainable forestry policy.
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The R Project for Statistical Computing a Free Software Environment For
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