EN Statistical Features: It’s important to have statistical features in order to perform advanced analytics, including clustering, box plots, comparison circles, and relationships between categorical variables (Chi-square).
"statistical analysis" কে কোরিয়ান এ অনুবাদ করুন
ইংরেজি থেকে কোরিয়ান পর্যন্ত "statistical analysis" বাক্যাংশের 50 অনুবাদগুলির 50 দেখানো হচ্ছে
statistical analysis-এর ইংরেজি থেকে কোরিয়ান-এর অনুবাদ
ইংরেজি
কোরিয়ান
KO 통계적 기능: 클러스터링, 상자 그림, 비교 원, 범주형 변수 간의 관계(카이제곱)를 포함한 고급 분석을 수행하려면 통계적 기능을 갖는 것이 중요합니다.
ট্রান্সলিটারেশন tong-gyejeog gineung: keulleoseuteoling, sangja geulim, bigyo won, beomjuhyeong byeonsu gan-ui gwangye(kaijegob)leul pohamhan gogeub bunseog-eul suhaenghalyeomyeon tong-gyejeog gineung-eul gajneun geos-i jung-yohabnida.
EN Statistical Features: It’s important to have statistical features in order to perform advanced analytics, including clustering, box plots, comparison circles, and relationships between categorical variables (Chi-square).
KO 통계적 기능: 클러스터링, 상자 그림, 비교 원, 범주형 변수 간의 관계(카이제곱)를 포함한 고급 분석을 수행하려면 통계적 기능을 갖는 것이 중요합니다.
ট্রান্সলিটারেশন tong-gyejeog gineung: keulleoseuteoling, sangja geulim, bigyo won, beomjuhyeong byeonsu gan-ui gwangye(kaijegob)leul pohamhan gogeub bunseog-eul suhaenghalyeomyeon tong-gyejeog gineung-eul gajneun geos-i jung-yohabnida.
EN Correlation analysis refers to the application of statistical analysis and other mathematical techniques to evaluate or measure the relationships between variables.
KO 상관 분석은 통계 분석 및 기타 수학적 기법을 적용하여 변수 간의 관계를 평가하거나 측정하는 것을 말합니다.
ট্রান্সলিটারেশন sang-gwan bunseog-eun tong-gye bunseog mich gita suhagjeog gibeob-eul jeog-yonghayeo byeonsu gan-ui gwangyeleul pyeong-gahageona cheugjeonghaneun geos-eul malhabnida.
EN Agilent’s leading metabolomics software portfolio includes data mining, statistical analysis, compound identification, pathway visualization and qualitative flux analysis.
KO 애질런트의 첨단 대사체학 소프트웨어 포트폴리오는 데이터 마이닝, 통계 분석, 화합물 식별, 경로 시각화 및 정성 flux 분석을 포함하고 있습니다.
ট্রান্সলিটারেশন aejilleonteuui cheomdan daesachehag sopeuteuweeo poteupollioneun deiteo maining, tong-gye bunseog, hwahabmul sigbyeol, gyeonglo sigaghwa mich jeongseong flux bunseog-eul pohamhago issseubnida.
EN 5. Unity will perform statistical analysis for each location on a frequent basis. Candidates will be disqualified if Unity discovers any misconduct practices based on the analysis.
KO 5. 유니티는 정기적으로 각 지역에 대한 통계적 분석을 진행합니다. 분석 결과 위법 행위가 적발되면 해당 응시자들은 자격을 박탈당하게 됩니다.
ট্রান্সলিটারেশন 5. yunitineun jeong-gijeog-eulo gag jiyeog-e daehan tong-gyejeog bunseog-eul jinhaenghabnida. bunseog gyeolgwa wibeob haeng-wiga jeogbaldoemyeon haedang eungsijadeul-eun jagyeog-eul bagtaldanghage doebnida.
EN Method automation capability in MPP enables the user to automate the complete analysis steps including experiment creation, normalization, data filtering and statistical analysis
KO MPP에 포함된 분석법 자동화 기능을 사용해 사용자는 실험 생성, 정규화, 데이터 필터링 및 통계 분석을 포함한 전체 분석 단계를 자동화할 수 있습니다
ট্রান্সলিটারেশন MPPe pohamdoen bunseogbeob jadonghwa gineung-eul sayonghae sayongjaneun silheom saengseong, jeong-gyuhwa, deiteo pilteoling mich tong-gye bunseog-eul pohamhan jeonche bunseog dangyeleul jadonghwahal su issseubnida
EN 5. Unity will perform statistical analysis for each location on a frequent basis. Candidates will be disqualified if Unity discovers any misconduct practices based on the analysis.
KO 5. 유니티는 정기적으로 각 지역에 대한 통계적 분석을 진행합니다. 분석 결과 위법 행위가 적발되면 해당 응시자들은 자격을 박탈당하게 됩니다.
ট্রান্সলিটারেশন 5. yunitineun jeong-gijeog-eulo gag jiyeog-e daehan tong-gyejeog bunseog-eul jinhaenghabnida. bunseog gyeolgwa wibeob haeng-wiga jeogbaldoemyeon haedang eungsijadeul-eun jagyeog-eul bagtaldanghage doebnida.
EN carry out research and statistical analysis;
KO 연구 및 통계 분석을 수행하기 위해
ট্রান্সলিটারেশন yeongu mich tong-gye bunseog-eul suhaenghagi wihae
EN Integrate R packages, statistical analysis, or any of your saved data models into Tableau visual analytics.
KO R 패키지, 통계 분석 또는 저장된 데이터 모델을 Tableau 시각적 분석에 통합합니다.
ট্রান্সলিটারেশন R paekiji, tong-gye bunseog ttoneun jeojangdoen deiteo model-eul Tableau sigagjeog bunseog-e tonghabhabnida.
EN BA includes data mining, statistical analysis and predictive modelling that help make more informed decisions.
KO BA에는 의사 결정을 더욱더 정보에 기반하여 내릴 수 있게 지원하는 데이터 마이닝, 통계 분석, 예측 모델링이 포함됩니다.
ট্রান্সলিটারেশন BAeneun uisa gyeoljeong-eul deougdeo jeongbo-e gibanhayeo naelil su issge jiwonhaneun deiteo maining, tong-gye bunseog, yecheug modelling-i pohamdoebnida.
EN Cluster analysis or clustering is a statistical classification technique or activity that involves grouping a set of objects or data so that those in the same group (called a cluster) are similar to each other, but different from those in other clusters.
KO 클러스터 분석 또는 클러스터링은 객체 또는 데이터 집합을 그룹화하여 동일한 그룹(클러스터)에 있는 항목과 다른 클러스터에 있는 항목을 구별하는 통계적 분류 기술 또는 활동입니다.
ট্রান্সলিটারেশন keulleoseuteo bunseog ttoneun keulleoseuteoling-eun gaegche ttoneun deiteo jibhab-eul geulubhwahayeo dong-ilhan geulub(keulleoseuteo)e issneun hangmoggwa daleun keulleoseuteoe issneun hangmog-eul gubyeolhaneun tong-gyejeog bunlyu gisul ttoneun hwaldong-ibnida.
EN R is an open-source programming language for statistical analysis
KO R은 통계 분석을 위한 오픈 소스 프로그래밍 언어입니다
ট্রান্সলিটারেশন Reun tong-gye bunseog-eul wihan opeun soseu peulogeulaeming eon-eoibnida
EN Analytics software with predictive modeling functionality often includes capabilities for statistical analysis built into the user experience
KO 예측 모델링 기능을 갖춘 분석 소프트웨어에는 종종 사용자 환경에 내장된 통계 분석 기능이 포함됩니다
ট্রান্সলিটারেশন yecheug modelling gineung-eul gajchun bunseog sopeuteuweeoeneun jongjong sayongja hwangyeong-e naejangdoen tong-gye bunseog gineung-i pohamdoebnida
EN With better customer analysis, predictive analytics, and statistical modeling, advanced analytics is helping companies to improve decision making and keep pace with extremely competitive, quick-changing markets
KO 고급 분석은 고객 분석, 예측 분석 및 통계 모델링을 개선함으로써 기업이 의사 결정을 개선하며 경쟁이 치열하고 빠르게 변화하는 시장에 보조를 맞출 수 있도록 지원합니다
ট্রান্সলিটারেশন gogeub bunseog-eun gogaeg bunseog, yecheug bunseog mich tong-gye modelling-eul gaeseonham-eulosseo gieob-i uisa gyeoljeong-eul gaeseonhamyeo gyeongjaeng-i chiyeolhago ppaleuge byeonhwahaneun sijang-e bojoleul majchul su issdolog jiwonhabnida
EN They are able to create data science models using advanced and predictive analytics without a background in statistical analysis.
KO 그들은 통계 분석에 대한 배경 지식이 없이도 고급 및 예측 분석을 사용하여 데이터 사이언스 모델을 만들 수 있습니다.
ট্রান্সলিটারেশন geudeul-eun tong-gye bunseog-e daehan baegyeong jisig-i eobs-ido gogeub mich yecheug bunseog-eul sayonghayeo deiteo saieonseu model-eul mandeul su issseubnida.
EN Knowledge of DOE, reliability requirements, material selection, FMEA, Failure Analysis and other quality and statistical tools
KO DOE, 신뢰성 요구사항, 재료 선택, FMEA, 고장 분석과 기타 품질 및 통계 도구에 대한 전반적인 지식 보유
ট্রান্সলিটারেশন DOE, sinloeseong yogusahang, jaelyo seontaeg, FMEA, gojang bunseoggwa gita pumjil mich tong-gye dogue daehan jeonbanjeog-in jisig boyu
EN Allows import and export of data in several formats to further extend and customize statistical analysis and visualization capabilities using R-Scripts
KO 확장 및 맞춤화된 통계 분석, R-Script를 이용한 시각화 기능 등 여러 형식으로 데이터를 가져오고 내보낼 수 있습니다
ট্রান্সলিটারেশন hwagjang mich majchumhwadoen tong-gye bunseog, R-Scriptleul iyonghan sigaghwa gineung deung yeoleo hyeongsig-eulo deiteoleul gajyeoogo naebonael su issseubnida
EN carry out research and statistical analysis;
KO 연구 및 통계 분석을 수행하기 위해
ট্রান্সলিটারেশন yeongu mich tong-gye bunseog-eul suhaenghagi wihae
EN Analytics software with predictive modeling functionality often includes capabilities for statistical analysis built into the user experience
KO 예측 모델링 기능을 갖춘 분석 소프트웨어에는 종종 사용자 환경에 내장된 통계 분석 기능이 포함됩니다
ট্রান্সলিটারেশন yecheug modelling gineung-eul gajchun bunseog sopeuteuweeoeneun jongjong sayongja hwangyeong-e naejangdoen tong-gye bunseog gineung-i pohamdoebnida
EN With better customer analysis, predictive analytics, and statistical modeling, advanced analytics is helping companies to improve decision making and keep pace with extremely competitive, quick-changing markets
KO 고급 분석은 고객 분석, 예측 분석 및 통계 모델링을 개선함으로써 기업이 의사 결정을 개선하며 경쟁이 치열하고 빠르게 변화하는 시장에 보조를 맞출 수 있도록 지원합니다
ট্রান্সলিটারেশন gogeub bunseog-eun gogaeg bunseog, yecheug bunseog mich tong-gye modelling-eul gaeseonham-eulosseo gieob-i uisa gyeoljeong-eul gaeseonhamyeo gyeongjaeng-i chiyeolhago ppaleuge byeonhwahaneun sijang-e bojoleul majchul su issdolog jiwonhabnida
EN They are able to create data science models using advanced and predictive analytics without a background in statistical analysis.
KO 그들은 통계 분석에 대한 배경 지식이 없이도 고급 및 예측 분석을 사용하여 데이터 사이언스 모델을 만들 수 있습니다.
ট্রান্সলিটারেশন geudeul-eun tong-gye bunseog-e daehan baegyeong jisig-i eobs-ido gogeub mich yecheug bunseog-eul sayonghayeo deiteo saieonseu model-eul mandeul su issseubnida.
EN This course is part of the Statistical Analysis with R for Public Health Specialization
KO 이 강좌는 공중 보건학을 위한 R을 통한 통계 분석 특화 과정의 일부입니다.
ট্রান্সলিটারেশন i gangjwaneun gongjung bogeonhag-eul wihan Reul tonghan tong-gye bunseog teughwa gwajeong-ui ilbu-ibnida.
EN About the Statistical Analysis with R for Public Health Specialization
KO 공중 보건학을 위한 R을 통한 통계 분석 특화 과정 정보
ট্রান্সলিটারেশন gongjung bogeonhag-eul wihan Reul tonghan tong-gye bunseog teughwa gwajeong jeongbo
EN In this example, we demonstrate INTERCONNECT’s capability to run simulations based on statistical models, including Monte Carlo (MC) and Corner analysis.
KO 이 예제에서는 Monte Carlo(MC) 및 Corner 분석을 비롯한 통계 모델을 기반으로 시뮬레이션을 실행할 수 있는 INTERCONNECT의 기능을 보여줍니다.
ট্রান্সলিটারেশন i yejeeseoneun Monte Carlo(MC) mich Corner bunseog-eul biloshan tong-gye model-eul giban-eulo simyulleisyeon-eul silhaenghal su issneun INTERCONNECTui gineung-eul boyeojubnida.
EN Lumerical CTO, Dr. James Pond, walks us through the origin and development of the CML Compiler all the way to the new Statistical Analysis and Simulation functionality being demonstrated at OFC 2020.
KO Lumerical CTO인 James Pond 박사가 CML Compiler의 시작과 개발 과정부터 OFC 2020에서 시연되는 새로운 통계 분석 및 시뮬레이션 기능까지 설명합니다.
ট্রান্সলিটারেশন Lumerical CTOin James Pond bagsaga CML Compilerui sijaggwa gaebal gwajeongbuteo OFC 2020eseo siyeondoeneun saeloun tong-gye bunseog mich simyulleisyeon gineungkkaji seolmyeonghabnida.
| ইংরেজি | কোরিয়ান |
|---|---|
| cto | cto |
EN Building and Using Statistical Compact Models for Circuit Level Yield Analysis
KO 회로 수준 수율 분석을 위한 통계적 컴팩트 모델 구축 및 사용
ট্রান্সলিটারেশন hoelo sujun suyul bunseog-eul wihan tong-gyejeog keompaegteu model guchug mich sayong
EN In this example, we demonstrate INTERCONNECT’s capability to run simulations based on statistical models, including Monte Carlo (MC) and Corner analysis.
KO 이 예시는 Monte Carlo(MC) 및 Corner 분석을 비롯한 통계 모델을 기반으로 시뮬레이션을 실행할 수 있는 INTERCONNECT의 기능을 보여줍니다.
ট্রান্সলিটারেশন i yesineun Monte Carlo(MC) mich Corner bunseog-eul biloshan tong-gye model-eul giban-eulo simyulleisyeon-eul silhaenghal su issneun INTERCONNECTui gineung-eul boyeojubnida.
EN This example demonstrates the capability of Spectre-INTERCONNECT co-simulation with statistical component models, allowing the performance of important tests such as Monte Carlo (MC) and corner analysis.
KO 이 예시는 Spectre-INTERCONNECT 공동 시뮬레이션과 통계적 구성 요소 모델의 기능을 보여 주므로 Monte Carlo(MC) 및 corner 분석과 같은 중요한 테스트의 성능을 얻을 수 있습니다.
ট্রান্সলিটারেশন i yesineun Spectre-INTERCONNECT gongdong simyulleisyeongwa tong-gyejeog guseong yoso model-ui gineung-eul boyeo jumeulo Monte Carlo(MC) mich corner bunseoggwa gat-eun jung-yohan teseuteuui seongneung-eul eod-eul su issseubnida.
EN It then discusses the many new features available with the recent 2020 R2 release including spatial correlations in statistical circuit analysis.
KO 그런 다음 통계적 회로 분석의 공간 상관 관계를 포함하여 최근 2020 R2 릴리스에서 사용할 수 있는 다양한 새 기능에 대해 설명합니다.
ট্রান্সলিটারেশন geuleon da-eum tong-gyejeog hoelo bunseog-ui gong-gan sang-gwan gwangyeleul pohamhayeo choegeun 2020 R2 lilliseueseo sayonghal su issneun dayanghan sae gineung-e daehae seolmyeonghabnida.
EN to administer our website and for internal operations, including troubleshooting, data analysis, testing, research, statistical and survey purposes;
KO 문제 해결, 데이터 분석, 테스트, 연구, 통계 및 설문 조사 목적을 포함한 내부 운영 및 당사 웹사이트 관리
ট্রান্সলিটারেশন munje haegyeol, deiteo bunseog, teseuteu, yeongu, tong-gye mich seolmun josa mogjeog-eul pohamhan naebu un-yeong mich dangsa websaiteu gwanli
EN Build visualisations with drag and drop, employ AI-driven statistical modelling with a click, and even ask questions using natural language.
KO 예를 들어 끌어서 놓기로 비주얼리제이션을 작성할 수 있고, 한 번의 클릭으로 AI 기반의 통계 모델링을 이용할 수 있으며, 심지어 자연어를 사용한 질문도 가능합니다.
ট্রান্সলিটারেশন yeleul deul-eo kkeul-eoseo nohgilo bijueollijeisyeon-eul jagseonghal su issgo, han beon-ui keullig-eulo AI giban-ui tong-gye modelling-eul iyonghal su iss-eumyeo, simjieo jayeon-eoleul sayonghan jilmundo ganeunghabnida.
EN Quickly build powerful calculations from existing data, drag and drop reference lines and forecasts, and review statistical summaries
KO 기존 데이터에서 강력한 계산을 만들고, 끌어서 놓는 방식으로 참조선 및 예측을 추가하고, 통계 요약 정보를 검토할 수 있습니다
ট্রান্সলিটারেশন gijon deiteoeseo ganglyeoghan gyesan-eul mandeulgo, kkeul-eoseo nohneun bangsig-eulo chamjoseon mich yecheug-eul chugahago, tong-gye yoyag jeongboleul geomtohal su issseubnida
EN Make your point with trend analyses, regressions and correlations for tried-and-true statistical understanding
KO 추세 분석, 회귀 분석, 상관관계 분석을 사용하여 통계 정보를 정확하게 파악하고 자신의 관점을 명확하게 전달할 수 있습니다
ট্রান্সলিটারেশন chuse bunseog, hoegwi bunseog, sang-gwangwangye bunseog-eul sayonghayeo tong-gye jeongboleul jeonghwaghage paaghago jasin-ui gwanjeom-eul myeonghwaghage jeondalhal su issseubnida
EN Based on advanced statistical models, Explain Data helps you uncover insights you may not have found otherwise.
KO 고급 통계 모델에 따르면, ‘데이터 설명’은 다른 방식으로는 발견하지 못했을 인사이트를 얻을 수 있도록 지원합니다.
ট্রান্সলিটারেশন gogeub tong-gye model-e ttaleumyeon, ‘deiteo seolmyeong’eun daleun bangsig-euloneun balgyeonhaji moshaess-eul insaiteuleul eod-eul su issdolog jiwonhabnida.
EN Analytics extensions help make your statistical and predictive models accessible to more people
KO Analytics 확장 프로그램은 통계 및 예측 모델을 더 많은 사람이 이용하도록 도와줍니다
ট্রান্সলিটারেশন Analytics hwagjang peulogeulaem-eun tong-gye mich yecheug model-eul deo manh-eun salam-i iyonghadolog dowajubnida
EN Finally, we also share aggregated, anonymised or statistical information about you, including demographics data, with others for a variety of purposes; for example, to improve products and services for Tableau and others.
KO 마지막으로, 당사는 인구 통계 데이터 등 귀하에 관해 집계 및 익명 처리된 정보 또는 통계적인 정보를 다양한 목적(예: Tableau 및 타사가 제품과 서비스를 개선)으로 공유합니다.
ট্রান্সলিটারেশন majimag-eulo, dangsaneun ingu tong-gye deiteo deung gwiha-e gwanhae jibgye mich igmyeong cheolidoen jeongbo ttoneun tong-gyejeog-in jeongboleul dayanghan mogjeog(ye: Tableau mich tasaga jepumgwa seobiseuleul gaeseon)eulo gong-yuhabnida.
EN Statistical ComputingBig DataHigh Scalability ComputingMachine LearningData AnalyticsData ScienceOpen source pythonData Science using Python
KO 통계 컴퓨팅빅 데이터고확장성 컴퓨팅기계학습데이터 분석Data Science오픈소스 파이썬파이썬을 활용한 데이터 과학
ট্রান্সলিটারেশন tong-gye keompyutingbig deiteogohwagjangseong keompyuting-gigyehagseubdeiteo bunseogData Science-opeunsoseu paisseonpaisseon-eul hwal-yonghan deiteo gwahag
EN Based on advanced statistical models, explanations are integrated in existing workflows, saving users’ time and unearthing new understandings about their data that they may not have found otherwise
KO 고급 통계 모델에 기반한 설명이 기존 작업 흐름에 통합되어 있어, 사용자는 시간을 절약하고 그렇지 않았으면 발견하지 못했을 자신의 데이터에 대한 새로운 이해 내용을 밝혀낼 수 있습니다
ট্রান্সলিটারেশন gogeub tong-gye model-e gibanhan seolmyeong-i gijon jag-eob heuleum-e tonghabdoeeo iss-eo, sayongjaneun sigan-eul jeol-yaghago geuleohji anh-ass-eumyeon balgyeonhaji moshaess-eul jasin-ui deiteoe daehan saeloun ihae naeyong-eul balghyeonael su issseubnida
EN Make your statistical models more accessible directly in Tableau, with R, Python, MATLAB and more.
KO R, Python, MATLAB 등을 사용해 Tableau에서 바로 통계 모델에 더 쉽게 액세스할 수 있습니다.
ট্রান্সলিটারেশন R, Python, MATLAB deung-eul sayonghae Tableaueseo balo tong-gye model-e deo swibge aegseseuhal su issseubnida.
EN Make your statistical models accessible to more people. Integrate and visualise the data from your R, Python and Matlab models in Tableau.
KO 더 많은 사람이 통계 모델을 사용할 수 있습니다. R, Python 및 Matlab 모델의 데이터를 Tableau에서 통합하고 시각화하십시오.
ট্রান্সলিটারেশন deo manh-eun salam-i tong-gye model-eul sayonghal su issseubnida. R, Python mich Matlab model-ui deiteoleul Tableaueseo tonghabhago sigaghwahasibsio.
EN Augmented analytics technologies can also select automatically from the best forecasting, clustering and other statistical algorithms, based on which offers the most certainty
KO 또한, 증강 분석 기술은 최적의 예측, 클러스터링, 기타 통계 알고리즘 중에서 가장 확실성이 높은 것을 자동으로 선택할 수 있습니다
ট্রান্সলিটারেশন ttohan, jeung-gang bunseog gisul-eun choejeog-ui yecheug, keulleoseuteoling, gita tong-gye algolijeum jung-eseo gajang hwagsilseong-i nop-eun geos-eul jadong-eulo seontaeghal su issseubnida
EN In the same manner, computer programs have a hierarchy and the algorithm in each level applies a level of transformation to the input (which is the learning it does) and creates a statistical model as reference for the output
KO 같은 방식으로 컴퓨터 프로그램은 계층 구조를 가지고 있으며 각 수준의 알고리즘은 입력에 변환 수준을 적용하고 (즉, 학습하는) 출력에 대한 참조로 통계 모델을 만듭니다
ট্রান্সলিটারেশন gat-eun bangsig-eulo keompyuteo peulogeulaem-eun gyecheung gujoleul gajigo iss-eumyeo gag sujun-ui algolijeum-eun iblyeog-e byeonhwan sujun-eul jeog-yonghago (jeug, hagseubhaneun) chullyeog-e daehan chamjolo tong-gye model-eul mandeubnida
EN Advanced analytics employs predictive modeling, statistical methods, machine learning and process automation techniques beyond the capacities of traditional business intelligence (BI) tools to analyze data or business information
KO 고급 분석은 기존의 비즈니스 인텔리전스 (BI) 도구의 기능을 능가하는 예측 모델링, 통계 방법, 머신 러닝 및 공정 자동화 기술을 사용하여 데이터 또는 비즈니스 정보를 분석합니다
ট্রান্সলিটারেশন gogeub bunseog-eun gijon-ui bijeuniseu intellijeonseu (BI) doguui gineung-eul neung-gahaneun yecheug modelling, tong-gye bangbeob, meosin leoning mich gongjeong jadonghwa gisul-eul sayonghayeo deiteo ttoneun bijeuniseu jeongboleul bunseoghabnida
EN Predictive Analytics: Data analytics used to make predictions concerning future business outcomes, based upon historical data and using statistical modeling (regression models) and machine learning (ML) techniques.
KO 예측 분석: 과거 데이터를 기반으로 통계 모델링(회귀 모델) 및 머신 러닝(ML) 기술을 사용하여 미래 비즈니스 결과에 대한 예측을 수행하는 데 사용되는 데이터 분석입니다.
ট্রান্সলিটারেশন yecheug bunseog: gwageo deiteoleul giban-eulo tong-gye modelling(hoegwi model) mich meosin leoning(ML) gisul-eul sayonghayeo milae bijeuniseu gyeolgwa-e daehan yecheug-eul suhaenghaneun de sayongdoeneun deiteo bunseog-ibnida.
| ইংরেজি | কোরিয়ান |
|---|---|
| ml | ml |
EN Statistical models and algorithms are applied to the dataset to try and generalize the behavior of the target variable (for example, what you’re trying to predict) based on the input predictors (for example, factors that influence the target).
KO 통계 모델 및 알고리즘이 데이터 세트에 적용되어 입력 예측 변수(예를 들어, 대상에 영향을 미치는 요인)를 기반으로 대상 변수(예를 들어, 예측하려는 항목)의 동작을 일반화합니다.
ট্রান্সলিটারেশন tong-gye model mich algolijeum-i deiteo seteue jeog-yongdoeeo iblyeog yecheug byeonsu(yeleul deul-eo, daesang-e yeonghyang-eul michineun yoin)leul giban-eulo daesang byeonsu(yeleul deul-eo, yecheughalyeoneun hangmog)ui dongjag-eul ilbanhwahabnida.
EN Lacking statistical support from comprehensive market data, the team largely relied on team members’ past experiences to handpick a few markets for entry
KO 포괄적인 시장 데이터로 통계적 지원을 받을 수 없었던 팀은 팀원의 과거 경험에만 거의 의존하여 몇몇 진출 시장을 선정해야 했습니다
ট্রান্সলিটারেশন pogwaljeog-in sijang deiteolo tong-gyejeog jiwon-eul bad-eul su eobs-eossdeon tim-eun tim-won-ui gwageo gyeongheom-eman geoui uijonhayeo myeochmyeoch jinchul sijang-eul seonjeonghaeya haessseubnida
EN SAS Statistical Business Analyst Professional Certificate | Coursera
KO SAS 비즈니스 통계 분석가 전문 자격증 | Coursera
ট্রান্সলিটারেশন SAS bijeuniseu tong-gye bunseogga jeonmun jagyeogjeung | Coursera
EN SAS Statistical Business Analyst Professional Certificate
KO SAS 비즈니스 통계 분석가 전문 자격증
ট্রান্সলিটারেশন SAS bijeuniseu tong-gye bunseogga jeonmun jagyeogjeung
EN Care management – Executives can better decide if they should expand care programmes to other populations through the combination of predictive analytics and statistical modelling paired with care management performance data
KO 의료 관리 - 임원진은 의료 관리 성과 데이터와 연계된 예측 분석 모델링과 통계 모델링을 결합하여 의료 프로그램을 다른 사람들에게 확대할지에 대해 더 나은 의사 결정을 내릴 수 있습니다
ট্রান্সলিটারেশন uilyo gwanli - im-wonjin-eun uilyo gwanli seong-gwa deiteowa yeongyedoen yecheug bunseog modelling-gwa tong-gye modelling-eul gyeolhabhayeo uilyo peulogeulaem-eul daleun salamdeul-ege hwagdaehaljie daehae deo na-eun uisa gyeoljeong-eul naelil su issseubnida
EN Applying statistical methods, such as dimensionality reduction to a large number of design variables, will help identify a subset of critical performance criteria
KO 차원 축소와 같은 통계적 방법을 많은 설계 변수에 적용하면 중요한 성능 기준의 하위 집합을 손쉽게 식별할 수 있습니다
ট্রান্সলিটারেশন chawon chugsowa gat-eun tong-gyejeog bangbeob-eul manh-eun seolgye byeonsue jeog-yonghamyeon jung-yohan seongneung gijun-ui hawi jibhab-eul sonswibge sigbyeolhal su issseubnida
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