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C2020-010 - IBM SPSS Modeler Professional v2 - Dump Information

Vendor Name : IBM
Exam Code : C2020-010
Exam Name : IBM SPSS Modeler Professional v2
Questions and Answers : 55 Q & A
Updated On : January 18, 2019
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IBM C2020-010 Exam (IBM SPSS Modeler Professional v2) Detailed Information

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C2020-010 exam Dumps Source : IBM SPSS Modeler Professional v2

Test Code : C2020-010
Test Name : IBM SPSS Modeler Professional v2
Vendor Name : IBM
Q&A : 55 Real Questions

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IBM IBM SPSS Modeler Professional

a glance at the IBM SPSS Modeler and IBM SPSS facts analytics tools | killexams.com Real Questions and Pass4sure dumps

IBM's SPSS predictive analytics tools encompass IBM SPSS Modeler and IBM SPSS records. SPSS Modeler offers...

records mining and text evaluation software, whereas SPSS information is an integrated family of items. each tools allow clients to build predictive models and execute other analytics tasks.

The IBM SPSS Modeler objectives users who've little or no programming abilities. clients are supplied with a drag-and-drop user interface, enabling them to build predictive models and perform other statistics analytics. Modeler can observe different methods and algorithms to aid the person find assistance hidden in the records. The device can also support in integrating and consolidating every kind of facts units from dispersed records sources throughout the corporation.

The IBM SPSS information suite is an integrated set of products geared toward more professional data analysts. SPSS information addresses the complete analytical system, from planning to information assortment, evaluation, reporting and deployment.

IBM SPSS Modeler aspects

edition 18 provides the following facets:

  • greater than 30 base desktop researching algorithms.
  • Extensions that give endured advancements for use with open source items, such as R and Python.
  • improved help for a few multithreaded analytical algorithms, together with Random timber, Tree-AS, Generalized Linear Engine, Linear-AS, Linear help Vector computing device and Two-Step-AS clustering.
  • The capacity to run a number of Python and Spark desktop studying, as well as different Python analytics libraries natively in Modeler with out requiring the use of the Analytic Server, as turned into required in the old version.
  • SPSS Modeler bundles are deployed on premises, and SPSS Modeler Gold is available as a cloud offering. The customer front end of SPSS Modeler runs under windows and macOS, whereas the server element runs on Unix, Linux and home windows.

    IBM SPSS Modeler offers right here editions:

  • SPSS Modeler personal: A single-consumer computer product.
  • SPSS Modeler skilled: A laptop product that works with IBM SPSS Analytic Server, providing superior scalability and performance and enabling applications for use across a firm.
  • SPSS Modeler top rate: This edition includes superior algorithms and capabilities, corresponding to text analytics, entity analytics and social network evaluation, that enhance model accuracy with unstructured facts.
  • SPSS Modeler Gold: This edition provides analytical resolution management, collaboration and deployment capabilities. SPSS Modeler Gold is also available as a cloud offering.
  • IBM SPSS records elements

    SPSS statistics edition 24 comprises the following new facets:

  • The skill to access greater than a hundred extensions, enabling clients to take talents of free libraries written in R, Python and SPSS syntax.
  • The IBM SPSS Extension Hub to browse, down load, replace, get rid of and usually manipulate extensions.
  • an incredible upgrade to the custom Dialog Builder, enabling clients to more with ease construct and install their own extensions. Enhancements consist of new controls and new residences for present controls and a few different advancements to the consumer interface.
  • improvements that enable clients to extra with ease and straight away import and export facts into SPPS facts.
  • improvements to the custom Tables module, together with new statistical functionality and consumer-requested features.
  • IBM SPSS information presents right here three versions (each with further modules):

  • SPSS records commonplace equipment supply superior statistical techniques that support linear and nonlinear statistical fashions, as well as predictive simulation modeling, which money owed for doubtful inputs, geospatial analytics and customized tables.
  • SPSS records skilled equipment help facts education, lacking values and statistics validity, determination bushes, and forecasting.
  • SPSS records top class provides advanced analytical thoughts, together with structural equation modeling, in-depth sampling assessment and checking out. This bundle also includes strategies that goal direct advertising and marketing and excessive-end charts and graphs.
  • Pricing for the SPSS Modeler and SPSS statistics predictive analytics tools vary counting on the bundle options, the variety of users and the license duration. SPSS information is now purchasable as a subscription option or a perpetual license. IBM offers free trials of both IBM SPSS Modeler and IBM SPSS records.

    next Steps

    Why the time period unstructured facts is a misnomer

    How large statistics is changing statistics modeling recommendations

    huge records methods pose new challenges to statistics governance

    related materials View more

    try What’s New with Watson Studio | killexams.com Real Questions and Pass4sure dumps

    One Portfolio for AI & desktop studying

    IBM has ushered its valued clientele into the period of commercial enterprise information science for greater than a decade, beginning with the funding of the ILOG CPLEX and SPSS acquisitions. as the data science market evolved, new macro developments developed, and IBM invested in superior technologies and structures to respond to this shift. In 2016, IBM brought records Science adventure and a number of Watson choices, which blurred the lines between our new and historical applied sciences. we have now made the resolution to simplify our portfolio for our clients under one single manufacturer — IBM Watson Studio.

    IBM Watson Studio changed into first introduced within the IBM Public Cloud at our believe convention in March 2018, which protected the combination of the capabilities of records Science journey Cloud and a brand new interface for SPSS Modeler. beginning October 2nd, 2018, we plan to rebrand our on-prem offer from facts Science adventure local to IBM Watson Studio local. IBM will continue below one brand whereas we cautiously deliver our latest consumers and our neighborhood along to permit them during this new era of data science, desktop learning and AI.

    An business leader in Forrester Wave

    IBM Watson Studio turned into lately recognized as a leader in the September 2018 Forrester Wave record on Predictive Analytics and computing device studying structures (PAML). Forrester Wave diagnosed IBM Watson Studio as a “completely balanced PAML solution for business information science teams that want the productivity of visual tools and access to the latest open source by way of a computer-based coding interface.” moreover, IBM received the maximum viable ranking in breadth and depth of functionality, our mix of workflow capabilities with open source computer learning, and our pre-expert computing device learning fashions for visible awareness, Watson herbal Language Classifier, and many others.

    What’s subsequent For Watson Studio

    To additional develop our capabilities, we're excited to announce that IBM Watson Studio is partnering with two trade leaders in information annotation, DefinedCrowd and figure Eight. These partnerships will advance our capabilities in image categorization, natural language classification, sentiment evaluation, and content moderation. the integration of these two technologies into Watson Studio will create a seamless, one-stop answer that combines human intelligence and desktop discovering capabilities to accelerate business AI initiatives.

    within the coming months, IBM Analytics will deliver to market a newly streamlined portfolio. we will deliver an exciting set of recent capabilities to our present shoppers, whether or not they want them on a Public Cloud, inner most Cloud, On-Premises or on their computing device. And our existing items, corresponding to SPSS Modeler and choice Optimization, will continue to be a core component of the IBM Watson Studio platform, helping full compatibility with outdated work assets. In October 2018, we also plan to ask you to an open beta software for IBM Watson Studio desktop, which is a new product to tackle the records prep and records modeling needs on particular person pcs (available for home windows and macOS clients).

    gain knowledge of extra about Watson Studio right here or get all started with our Free edition now.

    IBM Watson Studio computing device

    A 12 months of AI Transformation | killexams.com Real Questions and Pass4sure dumps

    artificial Intelligence (AI) is poised to shift from being an emergent know-how into fitting mainstream and omnipresent. Two years ago, funding in AI had already reached almost $forty billion global.1

    AI adoption charges hovering, technology carriers have been racing to increase and present excessive efficiency computing (HPC) infrastructure solutions that aid make implementing AI less demanding, reduce chance, and extra economical. IBM is not any exception. In 2018, IBM dependent a brisk cadence of AI-connected reference architectures, culminating within the fresh announcement of IBM Spectrum AI with NVIDIA DGX, a excessive efficiency solution that combines business acclaimed IBM Spectrum Scale application-defined storage with NVIDIA DGX-1 methods linked with Mellanox Infiniband networking. the brand new solution offers the maximum performance storage of any comparable equipment, 2 and helps any GPU accelerated server, together with IBM AC922.

    To achieve applicable degrees of perception and accuracy, AI functions require access to significant amounts of coaching records and processing power. three Such necessities can make the infrastructure transformation integral to allow AI advanced, excessive possibility, and costly, hindering adoption. To tackle these challenges, in June 2018 IBM announced the IBM techniques Reference architecture for AI. based on IBM PowerAI, IBM Spectrum Computing (the HPC-focused part), and IBM storage, this new reference structure presents a confirmed answer for AI computing and deep learning that simplifies advanced operations and reduces deployment and operational risk. Developed via realworld consumer event, the IBM Reference architecture for AI gives a comprehensive guide to help companies create a hit AI infrastructure proofs-of-conception, extend these into production, after which scale the options as essential to accommodate AI application and facts boom.

    In August, IBM delivered gasoline to its 2018 AI fireplace by using announcing the IBM vigor techniques Accelerated Computing Platform (IBM vigour ACP). presently, both strongest AI-more advantageous supercomputers in the world – Summit at o.k.Ridge and Sierra at Lawrence Livermore countrywide Labs – are developed from IBM vigor ACP aspects. A key to those installations is the fact that they had been assembled using most effective the equal commercially available add-ons as present in the IBM vigor ACP providing. It’s an entire solution that contains IBM POWER9 servers; IBM Elastic Storage Server (ESS); networking, building, and runtime utility; and professional functions designed to help any corporation conveniently construct the onpremises infrastructure needed to assist AI, HPC, and different compute-intensive workloads.

    Headlining the IBM power ACP offering is the IBM vigor gadget Accelerated Compute Server – AC922 – the same servers used within the Summit and Sierra CORAL supercomputers. AC922 is designed for business AI. With as much as 1 TB of RAM, two 20-core IBM POWER9 processors, and up to four NVDIA Tesla GPUs linked via NVLINK, the AC922 server can handle the entire latitude of stressful AI and HPC workloads.

    by October, IBM Storage formalized the techniques it had already been featuring to automobile manufacturers into a solution called IBM Storage for self sufficient using. superior driver tips methods and autonomous driving (advert) initiatives all have one factor in ordinary – miles and miles of information. Sources include sensor statistics, weather records, satellite records, behavioral and different own facts, diagnostic records, and extra. each related motor vehicle generates from a couple of megabytes to now and again terabytes per car per day when that vehicle is a examine automobile used to instruct ad models. These related-vehicles initiatives can generate storage demand for upwards of 200 exabytes of facts every day across whole fleets. 4 The IBM Storage for ad solution is in keeping with IBM Cloud Object Storage with a purpose to accommodate these tremendous statistics streams, IBM Spectrum find to increase and manipulate the file metadata, and IBM Spectrum Scale to deliver finished storage administration and data services – the same storage application present in Summit and Sierra.

    eventually, in mid-December IBM introduced IBM Spectrum AI with NVIDIA DGX. The answer gives the equipped-to-set up robust infrastructure and utility that AI projects deserve to ramp up right away and develop confidently. Designed for NVIDIA DGX-1 techniques, IBM Spectrum Scale software-defined storage, and Mellanox networking, IBM Spectrum AI with NVDIA DGX will also be configured to meet existing and growing to be organizational requirements. The NVIDIA DGX software stack contains access to the latest in NVIDIA optimized containers by the use of the NGC container repository, plus the new RAPIDS framework to speed up records science workflow.

    IBM Spectrum Scale can be deployed in configurations from a single IBM ESS to support a few GPU accelerated servers, to a full IBM Spectrum AI with NVIDIA DGX rack of 9 servers with seventy two NVIDIA V100 Tensor Core GPUs. And multi-rack configurations are possible as smartly. in contrast to natural storage arrays, particularly parallel IBM Spectrum Scale can grow well-nigh linearly to feed multiple GPUs. The effect is an answer that supplies AI workload efficiency from shared storage corresponding to that of local RAM disk. In an IBM Spectrum AI device, IBM Spectrum Scale on IBM NVMe flash has proven 120GB/s of information throughput, 5 satisfactory to assist assorted clients and dissimilar AI fashions simultaneously.

    To be trained more about IBM SpectrumAI with NVIDIA DGX, discuss with this webpage and be a part of us for the January 29th webinar “constructing your AI information Pipeline with IBM SpectrumAI.”

    IBM Spectrum Scale gives the flexibleness to address storage necessities across the entire AI facts pipeline – from ingest; via data classification, transformation, analytics, and mannequin practicing; to data archiving. it will probably additionally give storage services throughout distinct storage choices, including AWS public cloud. IBM Spectrum Scale can share statistics with IBM Cloud Object Storage and tape, with shared metadata features supplied by means of IBM Spectrum find.

    When it comes to reworking AI from goals into fact, 2018 turned into a large yr at IBM. The chief in AI know-how introduced new AI reference architectures, launched diverse AI infrastructure options throughout IBM methods and now with NVIDIA, and even accelerated the building of self reliant driving motors. in the past, AI remained generally within the province of early know-how adopters, but now, that’s now not the case.

    1 Datafloq: Why the Adoption price of AI is expanding, may additionally 2018 https://datafloq.com/read/adoption-cost-ai-expanding/50442 FIO data throughput trying out of 120GB/s and AI workloads performance compared to the self-suggested outcomes of different NVIDIA RA business companions https://www.nvidia.com/en-us/statistics-core/dgx-reference-structure/three TechTarget Whatis definition: Deep gaining knowledge of (https://searchenterpriseai.techtarget.com/definition/deep-discovering-deepneural-community)four IBM solution short: IBM Storage options for superior driver suggestions systems and autonomous driving, October 2018 (https://www-01.ibm.com/average/ssi/cgi-bin/ssialias?htmlfid=34019934USEN) 5 IBM lab testing of IBM Spectrum Scale on 3 NMVe arrays the use of 4k random reads driven by means of FIO on 9 NVIDIA DGX-1 methods linked with Mellanox EDR Infiniband


    C2020-010 IBM SPSS Modeler Professional v2

    Study Guide Prepared by Killexams.com IBM Dumps Experts


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    C2020-010 exam Dumps Source : IBM SPSS Modeler Professional v2

    Test Code : C2020-010
    Test Name : IBM SPSS Modeler Professional v2
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    Q&A : 55 Real Questions

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    IBM SPSS Modeler Professional v2

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    A look at the IBM SPSS Modeler and IBM SPSS Statistics analytics tools | killexams.com real questions and Pass4sure dumps

    IBM's SPSS predictive analytics tools consist of IBM SPSS Modeler and IBM SPSS Statistics. SPSS Modeler provides...

    data mining and text analysis software, while SPSS Statistics is an integrated family of products. Both tools enable users to build predictive models and execute other analytics tasks.

    The IBM SPSS Modeler targets users who have little or no programming skills. Users are provided with a drag-and-drop user interface, enabling them to build predictive models and perform other data analytics. Modeler can apply different processes and algorithms to help the user discover information hidden in the data. The tool can also assist in integrating and consolidating all types of data sets from dispersed data sources across the organization.

    The IBM SPSS Statistics suite is an integrated set of products geared toward more professional data analysts. SPSS Statistics addresses the complete analytical process, from planning to data collection, analysis, reporting and deployment.

    IBM SPSS Modeler features

    Version 18 provides the following features:

  • More than 30 base machine learning algorithms.
  • Extensions that provide continued improvements for use with open source products, such as R and Python.
  • Enhanced support for several multithreaded analytical algorithms, including Random Trees, Tree-AS, Generalized Linear Engine, Linear-AS, Linear Support Vector Machine and Two-Step-AS clustering.
  • The ability to run a variety of Python and Spark machine learning, as well as other Python analytics libraries natively in Modeler without requiring the use of the Analytic Server, as was required in the previous version.
  • SPSS Modeler bundles are deployed on premises, and SPSS Modeler Gold is available as a cloud offering. The client front end of SPSS Modeler runs under Windows and macOS, while the server component runs on Unix, Linux and Windows.

    IBM SPSS Modeler provides the following editions:

  • SPSS Modeler Personal: A single-user desktop product.
  • SPSS Modeler Professional: A desktop product that works with IBM SPSS Analytic Server, providing improved scalability and performance and enabling applications to be used across an organization.
  • SPSS Modeler Premium: This edition includes advanced algorithms and capabilities, such as text analytics, entity analytics and social network analysis, that increase model accuracy with unstructured data.
  • SPSS Modeler Gold: This edition provides analytical decision management, collaboration and deployment capabilities. SPSS Modeler Gold is also available as a cloud offering.
  • IBM SPSS Statistics features

    SPSS Statistics version 24 includes the following new features:

  • The ability to access more than 100 extensions, enabling users to take advantage of free libraries written in R, Python and SPSS syntax.
  • The IBM SPSS Extension Hub to browse, download, update, remove and generally manage extensions.
  • A major upgrade to the Custom Dialog Builder, enabling users to more easily build and install their own extensions. Enhancements include new controls and new properties for existing controls and several other improvements to the user interface.
  • Improvements that enable users to more easily and quickly import and export data into SPPS Statistics.
  • Improvements to the Custom Tables module, including new statistical functionality and customer-requested features.
  • IBM SPSS Statistics offers the following three editions (each with additional modules):

  • SPSS Statistics Standard tools provide advanced statistical procedures that support linear and nonlinear statistical models, as well as predictive simulation modeling, which accounts for uncertain inputs, geospatial analytics and customized tables.
  • SPSS Statistics Professional tools support data preparation, missing values and data validity, decision trees, and forecasting.
  • SPSS Statistics Premium adds advanced analytical techniques, including structural equation modeling, in-depth sampling assessment and testing. This bundle also includes procedures that target direct marketing and high-end charts and graphs.
  • Pricing for the SPSS Modeler and SPSS Statistics predictive analytics tools vary depending on the bundle options, the number of users and the license period. SPSS Statistics is now available as a subscription option or a perpetual license. IBM offers free trials of both IBM SPSS Modeler and IBM SPSS Statistics.

    Next Steps

    Why the term unstructured data is a misnomer

    How big data is changing data modeling techniques

    Big data systems pose new challenges to data governance

    Related Resources View More

    A Pure Play On Self-Service Big Data Prep And Analytics: Wait For Smarter Valuation Entry Point | killexams.com real questions and Pass4sure dumps

    No result found, try new keyword!According to Rexer Analytics, 2016 Data Science Survey of 1220 analytics professionals from 72 countries, the average analytics professional reports ... s end-to-end data science platform; IBM’s (NYSE ...

    Pro rugby club enlists IBM to predict when players will be injured | killexams.com real questions and Pass4sure dumps

    Leicester Tigers in action against Worcester WarriorsLeicester Tigers in action against Worcester Warriors Sam Dredge reader comments with 7 posters participating Share this story
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  • One of the world’s leading rugby teams is about to learn whether the sport, once described as “a ruffian’s game played by gentlemen,” can benefit from the genteel field of science.

    The Leicester Tigers are the most successful English rugby union club of the past 25 years, winning the Premiership title a record nine times and twice capturing the European championship. Later this month, they’ll play in their eighth consecutive league final. In an effort to maintain that impressive success, the club is working with IBM to use statistical analysis software in assessing the likelihood of injury.

    In the past, Big Blue has used its SPSS Modeler predictive analytics software to help clients like Coinstar find the most profitable location for its coin-conversion machines and show the Memphis Police Department where to deploy officers to reduce crime. It believes the same analytical approach can help the Tigers optimize training and keep the best players on the field.

    Although the company’s system can gather thousands of variables, only a surprisingly small number really matter, said Erick Brethenoux, IBM’s director of Business Analytics and Decision Management Strategy.

    “We’ve found that on average, maybe 15 to 20 variables are more than enough—not a thousand—to be predictive,” Brethenoux said. “When one of those factors gets out of line, we can reduce training in some instances, or prescribe other types of training for a period of time.”

    Players wear equipment during training that captures statistics like heart rate as well as the forces absorbed by rugby’s frequent jarring hits. Data are uploaded to the team’s database, where IBM’s modeling software looks for patterns. Additional info is drawn from player questionnaires that could provide insight into their stress levels and injury history. Leicester used the program for a trial period this season, and the team’s sports scientist, Andy Shelton, said the goal is to monitor the entire squad an entire campaign, gathering minute-by-minute data.

    “We’re at the very early stages,” Shelton said. “We’ve run some models so far on stats that we’ve collected over the past five years and although they need refining, it’s looking very promising in terms of injury prediction.”

    As usual, the devil is in the details. Or, in this case, the data. The success of the program depends not on the analysis, but on the reliability of the data being gathered, said Will Carroll, who writes the Under the Knife column about sports injuries for SI.com.

    “How do you measure fatigue if you can’t directly measure it?,” Carroll said. “Data analysis is only as good as the data.”

    As professional rugby has grown in popularity around the globe in recent years, the influence of money has grown as well. With that maturation comes economic constraints for some teams, even successful ones like the Tigers. Although they dominated the British leagues during the past decade, Leicester has met strong challenges from some of Europe’s top clubs. One reason for that is English teams have a salary cap of 4.5 million British pounds (about $7.2 million), while the top French clubs top out at about 7.2 million pounds ($11.5 million). If that sounds like a situation ripe for the Moneyball approach popularized by baseball’s Oakland A’s, you’d be right. Shelton said teams with big payrolls can easily sub in a top international player when one of their own stars goes down, but Leicester doesn’t have that luxury.

    “In one game, it might not make a difference, but over the course of a season and in the big games toward the end of the season, that’s when it makes a big difference,” Shelton said.

    In addition to keeping their best players healthy, Shelton said IBM’s system could also be used to develop young players from their sports academy into long-term productive pros. “All of this is just a tool to aid the coaches and help the players along,” Shelton said. “None of this will ever replace coaching or talent. If we can keep our front-line players fit for longer and if we can give a little bit of help to the coaches to select academy players or pick up on ones they may not have noticed, then it can only be beneficial.”



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    See-Beyond [1 Certification Exam(s) ]
    Siemens [1 Certification Exam(s) ]
    Snia [7 Certification Exam(s) ]
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    Social-Work-Board [4 Certification Exam(s) ]
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    The-Open-Group [8 Certification Exam(s) ]
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    TruSecure [1 Certification Exam(s) ]
    USMLE [1 Certification Exam(s) ]
    VCE [6 Certification Exam(s) ]
    Veeam [2 Certification Exam(s) ]
    Veritas [33 Certification Exam(s) ]
    Vmware [58 Certification Exam(s) ]
    Wonderlic [2 Certification Exam(s) ]
    Worldatwork [2 Certification Exam(s) ]
    XML-Master [3 Certification Exam(s) ]
    Zend [6 Certification Exam(s) ]





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