Weka ld

Author: t | 2025-04-24

WEKA-LD Call Sign History WEKA-LD from WEKA-LD from : Channel 26DT Virtual Channel 41: Canton, OH . License CP Application Allocation STA. WEKA-LD

WEKA-LD CANTON, OH - RabbitEars

Download Weka 3.9.6 Date released: 12 Feb 2022 (3 years ago) Download Weka 3.9.5 Date released: 21 Dec 2020 (4 years ago) Download Weka 3.9.4 Date released: 20 Dec 2019 (5 years ago) Download Weka 3.9.3 (64-bit) Date released: 13 Dec 2018 (6 years ago) Download Weka 3.9.3 (32-bit) Date released: 13 Dec 2018 (6 years ago) Download Weka 3.9.2 (64-bit) Date released: 21 Dec 2017 (7 years ago) Download Weka 3.9.2 (32-bit) Date released: 21 Dec 2017 (7 years ago) Download Weka 3.9.1 (64-bit) Date released: 19 Dec 2016 (8 years ago) Download Weka 3.9.1 (32-bit) Date released: 19 Dec 2016 (8 years ago) Download Weka 3.9.0 (64-bit) Date released: 29 Apr 2016 (9 years ago) Download Weka 3.9.0 (32-bit) Date released: 29 Apr 2016 (9 years ago) Download Weka 3.8.6 (64-bit) Date released: 12 Feb 2022 (3 years ago) Download Weka 3.8.5 (64-bit) Date released: 21 Dec 2020 (4 years ago) Download Weka 3.8.4 (64-bit) Date released: 20 Dec 2019 (5 years ago) Download Weka 3.8.3 (64-bit) Date released: 03 Sep 2018 (7 years ago) Download Weka 3.8.3 (32-bit) Date released: 03 Sep 2018 (7 years ago) Download Weka 3.8.2 (64-bit) Date released: 22 Dec 2017 (7 years ago) Download Weka 3.8.2 (32-bit) Date released: 22 Dec 2017 (7 years ago) Download Weka 3.8.1 (64-bit) Date released: 19 Dec 2016 (8 years ago) Download Weka 3.8.1 (32-bit) Date released: 19 Dec 2016 (8 years ago)

WEKA LD - Alchetron, The Free Social Encyclopedia

Why can't I install Weka Settings?The installation of Weka Settings may fail because of the lack of device storage, poor network connection, or the compatibility of your Android device. Therefore, please check the minimum requirements first to make sure Weka Settings is compatible with your phone.How to check if Weka Settings is safe to download?Weka Settings is safe to download on APKPure, as it has a trusted and verified digital signature from its developer.How to download Weka Settings old versions?APKPure provides the latest version and all the older versions of Weka Settings. You can download any version you want from here: All Versions of Weka SettingsWhat's the file size of Weka Settings?Weka Settings takes up around 23.5 MB of storage. It's recommended to download APKPure App to install Weka Settings successfully on your mobile device with faster speed.What language does Weka Settings support?Weka Settings supports Afrikaans,አማርኛ,اللغة العربية, and more languages. Go to More Info to know all the languages Weka Settings supports.

WQDI-LD, Canton, OH WEKA-LD, Canton, OH Fac. ID No.

MuhtasariZoom in or out on web content using the zoom button for more comfortable reading.Hujachoka kujitahidi kuzoom ndani na nje ya kurasa za mtandao? Tafadhali angalia hapa! Kifaa cha upanuzi wa Zoom ni suluhisho kuu, kikiwa na kisahihishi rahisi na vitufe vya zoom kwa urahisi wa urambazaji. Kikiwa kama kifaa cha upanuzi bora na nambari moja, kinakuruhusu kubinafsisha thamani ya zoom ya kurasa yoyote, kuboresha uwezekano wa kusoma na faraja.Zoom ni kifaa nyepesi na cha manufaa kilichoundwa kupata uzoefu kamili wa zoom. Iwe unashughulika na matatizo ya maono mabaya, ugonjwa wa kutoona vizuri, jicho linalochechemea, au ambliopia, kifaa hiki kinaweza kuimarisha maono yako kwenye tovuti yoyote. Ongeza thamani ya zoom kwa kusogeza kisahihishi kuchagua kiwango unachopendelea. Zaidi ya hayo, unaweza kubadilisha kati ya injini za zoom, kuruhusu kuzoom kurasa nzima au kuzoom tu maandishi.Vipengele vya kifaa cha upanuzi wa kivinjari:◆ Kisahihishi cha Zoom:Kisahihishi kinatoa uzoefu kamili wa zoom, kuruhusu kurekebisha kiwango cha zoom kutoka 1 hadi 400.◆ Kutumia Kielekezi na Zoom:Bonyeza kitufe cha Z na shughulikia juu au chini na panya yako kuona mabadiliko mubashara kwenye kurasa ya wavuti.◆ Zoom Pamoja Inje:Washa chaguo hili kuwezesha kuzoom pamoja kwenye kurasa zote zilizofunguliwa.◆ Hifadhi Thamani ya Zoom ya Tovuti:Hifadhi moja kwa moja thamani ya zoom ya sasa ya tovuti, kuhakikisha inarudishwa unaporudi. Rudisha kwa urahisi kwenye zoom ya kawaida na kitufe cha "Rudisha".◆ Chaguzi za Injini za Zoom:Chagua kati ya injini ya kawaida ya kivinjari, zoom ya mtindo wa CSS wa wavuti, au injini ya ukubwa wa herufi kwa marekebisho ya maandishi. Injini ya ukubwa wa herufi itaongeza au kupunguza hasa maandishi kwenye tovuti hiyo wakati inahifadhi muundo na muundo wa kurasa.◆ Simamia Zoom kwa Kila Tovuti:Hariri au ondoa thamani za zoom kwa tovuti maalum katika ukurasa wa chaguo. Hii kulingana na kikoa au kiwango cha kurasa. Kwa kutumia kiwango cha kurasa na injini ya zoom iliyojengwa ndani, inawezesha zoom ya kivinjari kwa kila kichupo.◆ Chaguzi za Kuonyesha:- Onyesha asilimia ya thamani ya zoom kwenye kitufe cha Z kama lebo.- Onyesha menyu ya muktadha ya bonyeza kulia na asilimia muhimu za zoom.- Onyesha menyu ya muktadha ya bonyeza kulia na asilimia zako za zoom zilizochaguliwa.- Shikilia bonyeza la panya na shughulikia ili kuzoom ndani au nje.- Jumuisha viashiria vya kuona, kama kioo cha kuvuta duara au mraba karibu na mshale. Weka ukubwa wa kioo cha kuongeza, na kielekezi cha kuzoom ili kubaini kiwango cha kuzidisha.◆ Weka Zoom ya Kawaida:Chagua uwiano wa zoom. WEKA-LD Call Sign History WEKA-LD from WEKA-LD from : Channel 26DT Virtual Channel 41: Canton, OH . License CP Application Allocation STA. WEKA-LD WQDI-LD, WUEK-LD, WEKA-LD: Call Sign History: : W43DB-D : : KONV-LD () KONV-LD () KONV-LD : Station has no translators.

TV Schedule for The Nest (WEKA-LD) Akron, OH

Anywhere.”Weka’s core offering is a parallel file system, a type of distributed file system that can spread and orchestrate data tasks (e.g. copying files) across multiple places (e.g. servers and workstations) at once. On top of this, Weka sells services and capabilities to support AI and machine learning, visual effects and high-performance compute workloads in environments spanning on-premises data centers, public clouds and hybrid clouds.Zvibel claims that one key advantage of Weka’s architecture is that it can speed up AI model training by reducing the amount of time it takes to copy data across storage locations. “A typical generative AI data pipeline includes multiple steps of copying data sets, which wastes vital training time,” he said. “Weka keeps model training hardware constantly fed with data so models can be trained quicker.”Weka competes with data platforms like DataDirect, Pure Storage, NetApp and Vast Data. Vast is among the more formidable of the bunch, having closed a $118 million Series E funding round in December 2023 that tripled the startup’s valuation to $9.1 billion.But Weka appears to be holding its own, with a customer base of over 300 brands including AI startup Stability AI, 11 of the Fortune 50, and several undisclosed domestic and foreign government agencies.Even with its relatively large headcount (~400 employees worldwide, with plans to grow that number 25% in the next year), Zvibel said that the Silicon Valley-based company now has a “line of sight” to cash flow positivity by December 2024.“The latest raise was calculated based on favorable market conditions and proactive investor interest, which enabled us to raise at extremely favorable and advantageous terms for Weka,” he added. “Our average burn rate is expected to be less than half a million per month before reaching that milestone. We’ve exceeded $100 million in annual recurring revenue and are maintaining a hyper-growth trajectory.” Kyle Wiggers is TechCrunch’s AI Editor. His writing has appeared in VentureBeat and Digital Trends, as well as a range of gadget blogs including Android Police, Android Authority, Droid-Life, and XDA-Developers. He lives in Manhattan with his partner, a music therapist. View Bio

TV Schedule for The Nest (WEKA-LD) Akron, OH - TV Passport

IntroductionYou can download weka-stable-3.6.11.jar in this page.LicenseGNU General Public License 2.0Type Listweka-stable-3.6.11.jar file has the following types.META-INF/MANIFEST.MFMETA-INF/maven/nz.ac.waikato.cms.weka/weka-stable/pom.propertiesMETA-INF/maven/nz.ac.waikato.cms.weka/weka-stable/pom.xmlweka.associations.AbstractAssociator.classweka.associations.Apriori.classweka.associations.AprioriItemSet.classweka.associations.Associator.classweka.associations.AssociatorEvaluation.classweka.associations.CARuleMiner.classweka.associations.CaRuleGeneration.classweka.associations.CheckAssociator.classweka.associations.FPGrowth.classweka.associations.FilteredAssociator.classweka.associations.GeneralizedSequentialPatterns.classweka.associations.ItemSet.classweka.associations.LabeledItemSet.classweka.associations.Messages.classweka.associations.PredictiveApriori.classweka.associations.PriorEstimation.classweka.associations.RuleGeneration.classweka.associations.RuleItem.classweka.associations.SingleAssociatorEnhancer.classweka.associations.Tertius.classweka.associations.gsp.Element.classweka.associations.gsp.Messages.classweka.associations.gsp.Sequence.classweka.associations.tertius.AttributeValueLiteral.classweka.associations.tertius.Body.classweka.associations.tertius.Head.classweka.associations.tertius.IndividualInstance.classweka.associations.tertius.IndividualInstances.classweka.associations.tertius.IndividualLiteral.classweka.associations.tertius.Literal.classweka.associations.tertius.LiteralSet.classweka.associations.tertius.Predicate.classweka.associations.tertius.Rule.classweka.associations.tertius.SimpleLinkedList.classweka.attributeSelection.ASEvaluation.classweka.attributeSelection.ASSearch.classweka.attributeSelection.AttributeEvaluator.classweka.attributeSelection.AttributeSelection.classweka.attributeSelection.AttributeSetEvaluator.classweka.attributeSelection.AttributeTransformer.classweka.attributeSelection.BestFirst.classweka.attributeSelection.CfsSubsetEval.classweka.attributeSelection.CheckAttributeSelection.classweka.attributeSelection.ChiSquaredAttributeEval.classweka.attributeSelection.ClassifierSubsetEval.classweka.attributeSelection.ConsistencySubsetEval.classweka.attributeSelection.CostSensitiveASEvaluation.classweka.attributeSelection.CostSensitiveAttributeEval.classweka.attributeSelection.CostSensitiveSubsetEval.classweka.attributeSelection.ErrorBasedMeritEvaluator.classweka.attributeSelection.ExhaustiveSearch.classweka.attributeSelection.FilteredAttributeEval.classweka.attributeSelection.FilteredSubsetEval.classweka.attributeSelection.GainRatioAttributeEval.classweka.attributeSelection.GeneticSearch.classweka.attributeSelection.GreedyStepwise.classweka.attributeSelection.HoldOutSubsetEvaluator.classweka.attributeSelection.InfoGainAttributeEval.classweka.attributeSelection.LFSMethods.classweka.attributeSelection.LatentSemanticAnalysis.classweka.attributeSelection.LinearForwardSelection.classweka.attributeSelection.OneRAttributeEval.classweka.attributeSelection.PrincipalComponents.classweka.attributeSelection.RaceSearch.classweka.attributeSelection.RandomSearch.classweka.attributeSelection.RankSearch.classweka.attributeSelection.RankedOutputSearch.classweka.attributeSelection.Ranker.classweka.attributeSelection.ReliefFAttributeEval.classweka.attributeSelection.SVMAttributeEval.classweka.attributeSelection.ScatterSearchV1.classweka.attributeSelection.StartSetHandler.classweka.attributeSelection.SubsetEvaluator.classweka.attributeSelection.SubsetSizeForwardSelection.classweka.attributeSelection.SymmetricalUncertAttributeEval.classweka.attributeSelection.UnsupervisedAttributeEvaluator.classweka.attributeSelection.UnsupervisedSubsetEvaluator.classweka.attributeSelection.WrapperSubsetEval.classweka.classifiers.BVDecompose.classweka.classifiers.BVDecomposeSegCVSub.classweka.classifiers.CheckClassifier.classweka.classifiers.CheckSource.classweka.classifiers.Classifier.classweka.classifiers.CostMatrix.classweka.classifiers.Evaluation.classweka.classifiers.IntervalEstimator.classweka.classifiers.IteratedSingleClassifierEnhancer.classweka.classifiers.IterativeClassifier.classweka.classifiers.MultipleClassifiersCombiner.classweka.classifiers.RandomizableClassifier.classweka.classifiers.RandomizableIteratedSingleClassifierEnhancer.classweka.classifiers.RandomizableMultipleClassifiersCombiner.classweka.classifiers.RandomizableSingleClassifierEnhancer.classweka.classifiers.SingleClassifierEnhancer.classweka.classifiers.Sourcable.classweka.classifiers.UpdateableClassifier.classweka.classifiers.bayes.AODE.classweka.classifiers.bayes.AODEsr.classweka.classifiers.bayes.BayesNet.classweka.classifiers.bayes.BayesianLogisticRegression.classweka.classifiers.bayes.ComplementNaiveBayes.classweka.classifiers.bayes.DMNBtext.classweka.classifiers.bayes.HNB.classweka.classifiers.bayes.NaiveBayes.classweka.classifiers.bayes.NaiveBayesMultinomial.classweka.classifiers.bayes.NaiveBayesMultinomialUpdateable.classweka.classifiers.bayes.NaiveBayesSimple.classweka.classifiers.bayes.NaiveBayesUpdateable.classweka.classifiers.bayes.WAODE.classweka.classifiers.bayes.blr.Gaussi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file content. 4.0.0 nz.ac.waikato.cms.weka weka-stable 3.6.11 jar weka-stable The Waikato Environment for Knowledge Analysis (WEKA), a machine learning workbench. This version is tied to the 3rd edition the "Data Mining: Practical Machine Learning Tools and Techniques" book by Ian H. Witten, Eibe Frank, Mark A. Hall. Apart from bugfixes, this version does not receive any other updates. University of Waikato, Hamilton, NZ GNU General Public License 2.0 repo wekateam The WEKA Team [email protected] wekalist org.sonatype.oss oss-parent 7 scm:svn: scm:svn: release-sign-artifacts performRelease true org.apache.maven.plugins maven-gpg-plugin 1.1 sign-artifacts verify sign no-tests true junit junit 3.8.2 test net.sf.squirrel-sql.thirdparty-non-maven java-cup 0.11a UTF-8 UTF-8 weka.gui.GUIChooser dist build/classes build/testcases ${project.build.outputDirectory} ${project.build.sourceDirectory} **/*.arff **/*.cost **/*.cup **/*.default **/*.excludes **/*.flex **/*.gif **/*.icns **/*.ico **/*.jflex **/*.jpeg **/*.jpg **/*.kfml **/*.matrix **/*.png **/*.properties **/*.props **/*.txt **/*.xml **/DatabaseUtils.props.* weka/gui/beans/README ${project.build.testOutputDirectory} ${project.build.testSourceDirectory} **/*.arff **/*.cost **/*.cup **/*.default **/*.excludes **/*.flex **/*.gif **/*.icns **/*.ico **/*.jflex **/*.jpeg **/*.jpg **/*.kfml **/*.matrix **/*.png **/*.properties **/*.props **/*.txt **/*.xml **/DatabaseUtils.props.* weka/gui/beans/README org.apache.maven.plugins maven-compiler-plugin 2.0.2 1.5 1.5 org.apache.maven.plugins maven-surefire-plugin 2.7.2 **/*Test.java true true src/test/resources/wekarefs org.apache.maven.plugins maven-release-plugin 2.1 false clean verify -P no-tests deploy -P no-tests org.apache.maven.plugins maven-clean-plugin 2.4.1 . **/*~ **/.attach_pid* **/hs_err_pid* false org.apache.maven.plugins maven-jar-plugin 2.3.2 ${weka.main.class} test-jar org.apache.maven.plugins maven-source-plugin 2.1.2 attach-sources jar true attach-test-sources test-jar org.apache.maven.plugins maven-javadoc-plugin 2.8.1 256m weka:org public ${project.basedir}/doc attach-javadocs jar POM Entry nz.ac.waikato.cms.weka weka-stable 3.6.11DownloadIf you think the following weka-stable-3.6.11.jar downloaded from Maven central repository is inappropriate, such as containing malicious code/tools or violating the copyright, please email , thanks.Download weka-stable-3.6.11.jar filePreviousNextRelatedDownload weka-dev-3.9.0.jar fileDownload weka-dev-3.9.1.jar fileDownload weka-package-2012.08.jar fileDownload weka-stable-3.6.12.jar fileDownload weka-stable-3.6.13.jar file

Weka Ld Photos and Premium High Res Pictures - Getty Images

While an increasing number of companies are investing in AI, many are struggling to get AI-powered projects into production — much less delivering meaningful ROI.The challenges are many. But a commonly recurring one is data management. The data that companies need to train, run and fine-tune AI models is disorganized, siloed, and otherwise unoptimized. In a 2022 survey by Great Expectations, an open source data benchmarking platform, 77% of organizations said they were concerned about their data quality.Startups that promise to fix these data problems are raking in funding.On Wednesday, Weka, a platform for building data pipelines that handle a range of data sources, types, and sizes, announced that it raised $140 million in a two-part ($100 million and $40 million) Series E round led by Valor Equity Partners, with participation from Nvidia, Norwest Venture Partners, Micron Ventures, Qualcomm Ventures, Hitachi Ventures and others. The oversubscribed round values Weka at $1.6 billion post-money, double the company’s previous valuation.Weka CEO Liran Zvibel and Weka’s other co-founders, Maor Ben-Dayan and Omri Palmon, met while building the data storage startup XIV, which IBM acquired for $350 million in 2007. The trio stayed on with IBM for a number of years but eventually left to pursue other, independent ventures.The problem of managing data continued to gnaw at Zvibel, though, he says.“I was frustrated and disillusioned with seeing customers forced to use disparate, siloed data infrastructure solutions that were wasteful, costly and complex to deploy, manage and maintain,” he said. “The problem became especially apparent with the rise of cloud computing and the advent of high-performance computing, machine learning and the earliest AI workloads.”So in 2013, Zvibel recruited Ben-Dayan and Palmon to build a new set of data tools — a set that might bring about a better approach to storing, managing and moving data.“We envisioned a platform powerful enough to support the performance demands of next-generation compute hardware and large-scale, data-intensive workloads in the demanding and distributed environments,” Zvibel. “To meet the needs of modern workloads, we knew it would need to be able to process tens of terabytes of data and be deployed

WEKA and Run:ai - WEKA

Kinanda cha Farsi na Infra kitakuruhusu uchape lugha yako ya asilia ya Kiajemi (Kiajemi) na maandishi ya Kiingereza na emojis ya kuvutia zaidi.na kwa madhumuni ya urekebishaji itakupa maoni ya urekebishaji wa kiotomatiki ambayo yatakusaidia kuandika kwa urahisi naitaokoa muda wako.Vipengele - Aina Farsi (Kiajemi فارسی) - Aina Rahisi kwa Kiingereza - Pendekezo la otomatiki kwa kiingereza ambalo husaidia katika Utabiri wa kile unachotoa - Mada za kuvutia - Rahisi Kufunga na kuwezesha - Weka Sauti na Kutetemeka kwa Aina - Emojis ya kuvutia inayoonyesha hisia zako - Nakala ya Hotuba (Kibodi ya Farsi itazungumza unachoandika katika Farsi) - Hotuba kwa maandishi (Aina ya Farsi Sauti) - Nakala, Kata, Zamani na bonyeza moja kwa moja maandishi ya lugha ya Farsi - Chagua mandhari yako uipendayo ya ubofya kwenye bonyeza tu - Badili Rahisi Kutoka kwa Farsi kwenda Farsi na Makamu wake - Badili Rahisi Kutoka Farsi kwenda Emojis na Makamu wa pili - Kinanda cha Farsi ni Mbuni Maalum ya kutuma ujumbe wako kwenye whatsapp, Facebook, Twitter, barua pepe, Facebook Messenger, Google Hangout, Viber hata kwenye Jukwaa la Vyombo vya Habari vya Jamii huko Farsi na Farsi wakati huo huo na hii Kinanda ya admin. - Barua ya Farsi Tuma kwenye Facebook - Utafutaji wa Lugha wa Farsi kwenye Google - Farsi Lugha kwa urahisi SMS Wezesha Kibodi* Fuata tu hatua mbili ili kuwezesha Kibodi - Kwenye Wezesha Kinanda Bonyeza kwenye Kibodi cha Farsi - Kwenye Chagua Kinanda Bonyeza kwenye Kibodi cha Farsi - Weka Mada ya kufanya hakiki yako ya Kinanda iwe ya kuvutia zaidi * Sera ya faragha: Hatusanyi habari yoyote ya kibinafsi, Tazama tunachambua na ni matumizi gani Bonyeza Kiunga hapa chini kwenye sera ya faragha. WEKA-LD Call Sign History WEKA-LD from WEKA-LD from : Channel 26DT Virtual Channel 41: Canton, OH . License CP Application Allocation STA. WEKA-LD WQDI-LD, WUEK-LD, WEKA-LD: Call Sign History: : W43DB-D : : KONV-LD () KONV-LD () KONV-LD : Station has no translators.

Files weka-dev-3.9.1 WEKA / weka GitLab

Collection of various information objects on single page including diagrams, tables and textual information. The Pentaho AJAX API is used to extract BI information while Pentaho Solution Repository contains the content definitions.The steps involved in Dashboard creation includeAdding dashboard to the solution.Defining dashboard content.Implementing filters.Editing dashboards.18. How to use logic from one transformation/job in other process?Transformation logic can be shared using subtransformations, which provides seamless loading and transformation of variables enhancing efficiency and productivity of the system. Subtransformations can be called and reconfigured when required.19. Explain the use of Pentaho reporting.Pentaho reporting enables businesses to create structured and informative reports to easily access, format and deliver meaningful and important information to clients and customers. They also help business users to analyze and track consumer’s behavior for the specific time and functionality, thereby directing them towards the right success path.20. What is Pentaho Data Mining?Pentaho Data Mining refers to the Weka Project, which consists of a detailed tool set for machine learning and data mining. Weka is open source software for extracting large sers of information about users, clients and businesses. It is built on Java programming.Take charge of your career by going through this professionally designed Pentaho Certification Training.21. Is Data Integration and ETL Programming same?No. Data Integration refers to passing of data from one type of systems to other within the same application. On the contrary, ETL is used to extract and access data from different sources. And transform it into other objects and tables.22. Explain Hierarchy Flattening.It is just the construction of parent child relationships in a database. Hierarchy Flattening uses both horizontal and vertical formats, which enables easy and trouble-free identification of sub elements. It further allows users to understand and read the main hierarchy of BI and includes Parent column, Child Column, Parent attributes and Child

Files weka-dev-3.9.0 WEKA / weka GitLab

*Sasa ukiwa na MODE BILA MALIPO NA ZAIDI YA 50+ MADA* :) Mandhari yako ya bila malipo yanangoja!Cheza Minesweeper na picha zake zote za asili za retro! Badilisha mchezo wako upendavyo kwa kutumia mipangilio mingi na uufanye mchezo kuwa wako. Pata sarafu na ufungue mada nzuri. Potea katika ulimwengu wa Minesweeper wa kawaida!Sifa Muhimu:• Mahali pa kuanzia: Utakumbana na eneo wazi kila wakati kwa kugusa mara ya kwanza• Aina 5 za mchezo za kuchagua kutoka: Rahisi, Kati, Ngumu, Zilizokithiri na Maalum• Mandhari 50+ maridadi ya retro: Fungua mandhari haya kwa kupata sarafu. Pata sarafu za kuripoti migodi na raundi za kushinda• Hali ya Nadhani bila malipo (Beta): Cheza bao zisizo na ubashiri ili kuondoa hali 50/50. Washa hali ya kubahatisha kutoka kwa menyu ya Mipangilio• Alama ya Haraka: Washa hali hii ili uguse na uripoti visanduku kwa haraka• Kuza & Pan: Bana ili kukuza na uburute ili kuzunguka. Tumia kitufe cha Muhtasari ili kuweka upya ukuzaji wako• Tani za Mipangilio: Badilisha mchezo wako upendavyo kwa kutumia mipangilio mingi. Badilisha hisia zako za kukuza, weka utendakazi wa kitufe cha Mchezo Mpya, badilisha upau wa juu upendavyo ili kufikia kwa haraka vitufe unavyopenda, zima chaguo la 'shikilia ili kuripoti' au weka mandhari unayotaka ya Minesweeper pamoja na mipangilio mingine mingi.• Changamoto za Kila Siku: Cheza shindano bila kubahatisha kila siku. Pata medali kwa kukamilisha changamoto chini ya muda uliopangwa. Pata vikombe kwa kukamilisha changamoto za mwezi mmoja• Takwimu: Fuatilia alama zako za juu, asilimia ya ushindi na jumla ya muda wa kucheza• Vidokezo: Je, umekwama? Bonyeza kitufe cha kidokezo ili kuangazia eneo ambalo unapaswa kuzingatia. Kitufe cha kidokezo hukuonyesha tu maeneo ambayo una uhakika wa kuendeleza. Haitaonyesha maeneo ambayo matokeo hayajulikani• Hifadhi/Pakia: Mchezo utaendelea kiotomatiki ulipoacha baada ya kuzinduliwa• Endelea: Ukigonga mgodi unaweza kuendelea kutoka mahali ulipoachia kwa sarafu 50 au kwa kutazama tangazo la video.• Ubao wa wanaoongoza: Fuatilia alama za wachezaji duniani koteKazi:• Bendera: Bonyeza na ushikilie kisanduku ili kupeleka bendera. Bonyeza na ushikilie tena ili kuondoa bendera. Seli haitafunguka kamwe ukibofya bendera• Alama za swali: (Zimezimwa kwa chaguomsingi) Bonyeza bendera ili kuigeuza kuwa alama ya kuuliza. Bonyeza juu yake tena ili kuigeuza tena kuwa bendera• Vidokezo: Kitufe cha kidokezo kitaangazia mazingira ya seli ambayo tayari imefunguliwa, na ambayo imehakikishiwa kufanya maendeleo.• Gonga nambari: Bonyeza kwenye seli iliyo wazi ili kufichua seli zinazoizunguka. Hii itafanya kazi tu ikiwa idadi ya bendera zilizowekwa karibu na kisanduku wazi ni sawa na nambari kwenye kisanduku hichoSarafu:• Pata sarafu 1 kwa bendera 1 sahihi ya mgodi• Pata sarafu za bonasi kwa kukamilisha mchezoHifadhi wasifu wako kwenye wingu na Huduma za Google Play:• Unaweza kuhifadhi mandhari na takwimu zako ukitumia Huduma za Google Play na kuzirejesha baadaye ikiwa utahamia kifaa tofauti. Hakikisha kuwa umeingia katika. WEKA-LD Call Sign History WEKA-LD from WEKA-LD from : Channel 26DT Virtual Channel 41: Canton, OH . License CP Application Allocation STA. WEKA-LD

Weka/Weka datasets/cpu.arff at master tertiarycourses/Weka

Asteroids (PHAs) are space rocks larger than approximately 100m that can come closer to Earth than 0.05 AU. None of the known PHAs is on a collision course with our planet, although astronomers are finding new ones all the time. On February 28, 2025 there were 2349 potentially hazardous asteroids. Recent & Upcoming Earth-asteroid encounters: Asteroid Date(UT) Miss Distance Velocity (km/s) Diameter (m) 2025 DS2 2025-Feb-23 9.4 LD 11 44 2025 DZ2 2025-Feb-23 0.5 LD 12 4 2025 DQ6 2025-Feb-23 2.7 LD 17.4 39 2025 DQ4 2025-Feb-23 16.5 LD 10.2 38 2025 DX2 2025-Feb-23 12.3 LD 15.8 26 2025 DP6 2025-Feb-23 18.9 LD 12.6 76 2025 DP1 2025-Feb-23 10.1 LD 5.6 9 2025 DJ13 2025-Feb-24 4.1 LD 7.9 9 2025 DF1 2025-Feb-24 10.6 LD 11.6 36 2025 DS4 2025-Feb-24 3 LD 8.4 10 2025 DE2 2025-Feb-25 3.4 LD 9.5 16 2015 BK509 2025-Feb-25 9.4 LD 14.6 118 2023 RW3 2025-Feb-25 7.3 LD 5.1 18 2025 DR1 2025-Feb-25 7.3 LD 6.3 12 2025 DP 2025-Feb-25 14.6 LD 6.5 17 2025 DM2 2025-Feb-25 2.4 LD 14.8 12 2025 DT2 2025-Feb-25 0.8 LD 9.9 17 2025 DT 2025-Feb-25 2.5 LD 24.5 30 2025 DL1 2025-Feb-25 10 LD 3.6 10 2025 DO22 2025-Feb-26 19.6 LD 14.1 23 2025 DT1 2025-Feb-26 2.2 LD 7.8 7 2009 DE1 2025-Feb-26 6.5 LD 18.3 49 2025 DN6 2025-Feb-26 0.8 LD 6 3 2025 DY 2025-Feb-26 9.5 LD 12.8 23 2025 DK3 2025-Feb-27 2.8 LD 15.6 14 2025 DJ1 2025-Feb-27 12.9 LD 6.4 36 2025 DF9 2025-Feb-27 12.2 LD 4.5 15 2025 DU7 2025-Feb-28 1.8 LD 3.2 5 2025 DJ22 2025-Mar-01 1.5 LD 13.1 15 2025 DV5 2025-Mar-01 16.2 LD 23.5 29 2025 DE5 2025-Mar-02 2 LD 7.4 7 2025 CV1 2025-Mar-02 16.5 LD 10.3 49 2025 DB22 2025-Mar-02 3.8 LD 14.9 13 2025 DH1 2025-Mar-02 4 LD 4.3 19 2025 DH15 2025-Mar-03 8.4 LD 19.7 21 2025 DM7 2025-Mar-04 1.2 LD 7.1 13 2025 DT4 2025-Mar-04 6.4 LD 18 36 2025 DG3 2025-Mar-04 16.4 LD 8 33 535844 2025-Mar-05 9.6 LD 7.9 148 2025 DU2 2025-Mar-06 1.4 LD 17.4 48 2025 DT3 2025-Mar-06 17.7 LD 11.9 41 2025 DS3 2025-Mar-06 17.1 LD 16.8 32 2025 DJ5 2025-Mar-06 19.3 LD 8.5 31 2025 DL8 2025-Mar-07 13.2 LD 6.7 33 2017 EV 2025-Mar-07 3.1 LD 8.2 16 2025 DD22 2025-Mar-07 7.9 LD 7.8 26 2025 DZ1 2025-Mar-08 3.9 LD 16.8 38 2025 DK7 2025-Mar-08 9.5 LD 6.9 11 2025 DF8