#TextData
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#DataScience#DataScientist#StatisticalAnalysis#MachineLearning#DataVisualization#LargeDatasets#Insights#Predictions#ProblemSolving#BusinessDecisions#ToolsandTechnologies#NaturalLanguageProcessing(NLP)#TextData#LanguageTranslation#SentimentAnalysis#Chatbots#DataAnalysis#InformationExtraction#UnstructuredText#ValuableInsights
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Text Annotation For Machine Learning Machines are taught how to read, understand, analyze, and produce text in a valuable way for technological interactions with humans. Wisepl text annotation services provide Ai trained text datas to customers. #imageannotation #textannotation #ai #machinelearning #wisepl #labeltextdata #textdata #textcategorization #textclassification #nlp #computervision #deeplearning #artificialintelligence https://www.instagram.com/p/CRi0N4rj1sk/?utm_medium=tumblr
#imageannotation#textannotation#ai#machinelearning#wisepl#labeltextdata#textdata#textcategorization#textclassification#nlp#computervision#deeplearning#artificialintelligence
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How To Choose the Right AI Data Collection Company? | Shaip
Training AI is a long-term process that relies on large volumes of relevant and contextual datasets. There are plenty of companies offering data collection in the industry and you must be careful who you choose to collaborate with. Partnering with the wrong or incompetent vendor would do more harm than good. Read the guide to know more on how to choose the right AI, data vendor.

Read More : - https://www.shaip.com/blog/how-to-choose-the-right-ai-data-collection-company/
#ai#artificialintelligence#ml#machinelarning#datacollectionservices#imagedata#textdata#speechdata#videodata
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Word or tag cloud is a visual representation of the text data, typically used to depict keywords. #wordcloudclassics #tagcloud #datavisualization #keywords #textdata #dataminig #datasciencejourney (at Vienna) https://www.instagram.com/p/Bpjy0hPhrLj/?utm_source=ig_tumblr_share&igshid=1jhd3wqn41vm1
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Interview questions for oracle sql developer

Interview questions for oracle sql developer code#
Interview questions for oracle sql developer code#
In short, this means that the original object that is referenced in all of your code is really using a completely different underlying object, but no coding changes are necessary. Synonyms enable the reference of another object (View, Table, Stored Procedure or Function) potentially on a different server, database or schema in your environment.Synonyms were released with SQL Server 2005.Question 2: In what version of SQL Server were synonyms released, what do synonyms do and when could you make the case for using them?.Using the NOWAIT option with the SQL Server RAISERROR statement.Standardized SQL Server Error Handling and Centralized Logging.SQL Server 2005 Try and Catch Exception Handling.The TRY block is for the business logic and the CATCH logic is for capturing the error.Although they do not directly replace any specific command, in many respects the TRY and CATCH has been used over the RAISERROR command.Question 1: What are the new error handling commands introduced with SQL Server 2005 and beyond? What command did they replace? How are the new commands used?.Additional information - Date/Time Conversions Using SQL Server.True - With the CONVERT command there are over 15 different date formats such as MM/DD/YY, MM DD, YY, DD-MM-YY, etc.Question 5: True or False - SQL Server can format the date in over 10 different patterns.Additional information - Execute Dynamic SQL commands in SQL Server.Question 4: What are the three ways that Dynamic SQL can be issued?.Additional information - Deleting Data in SQL Server with TRUNCATE vs DELETE commands.A TRUNCATE command could cause issues for Log Shipping since it is a minimally logged operation.A single DELETE command could fill up the transaction log since it is a single transaction.With the DELETE or TRUNCATE command, you will lose all of your data in a table.In terms of implications, a few different issues could occur:.Question 3: What are the two commands to remove all of the data from a table? Are there any implications with the specific commands?.Additional information - SQL Server 2000 Text Data Manipulation.UPPER( character_expression ) - Returns a character expression with lowercase character data converted to uppercase.SUBSTRING( textData, startPosition, length ) - Returns portion of the string.STUFF( textData, start, length, insertTextData ) - Deletes a specified length of characters and inserts another set of characters at a specified starting point.SPACE( numberOfSpaces ) - Repeats space value specified number of times. RTRIM( textData) - Removes trailing blanks.REVERSE( character_expression ) - Returns the reverse of a character expression.REPLICATE( character_expression, integer_expression ) - Repeats a character expression for a specified number of times.REPLACE( textData, findTextData, replaceWithTextData ) - Replaces occurrences of text found in the string with a new value.PATINDEX( findTextData, textData ) - Returns integer value of the starting position of text found in the string. LTRIM( textData) - Removes leading blanks.LOWER ( character_expression ) - Returns a character expression after converting uppercase character data to lowercase.LEN( textData ) - Returns integer value of the length of the string, excluding trailing blanks.LEFT( character_expression, integer_expression ) - Returns the left part of a character string with the specified number of characters.CHARINDEX( findTextData, textData, ) - Returns the starting position of the specified expression in a character string.For example, obtain only a portion of the text, replace a text string, etc. Question 2: Please name 5 commands that can be used to manipulate text in T-SQL code.Additional information - Renaming SQL Server database objects and changing object owners.Use Management Studio by right clicking on the database and selecting the 'Rename' option.Issue the sp_rename system stored procedure and specify 'database' as the parameter.Issue the sp_renamedb system stored procedure.It is possible to rename a database by one of these options:.Yes - Databases can be renamed in similar manners as other relational database objects.Question 1: Is it possible to rename a database? If so, how would you rename the database?.

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NLP text preprocessing in Artificial Intelligence helps build a model to analyze and solve problems with text data that is preprocessed. | https://bit.ly/35YxATi
#data #artificialintelligence #nlp #naturallanguageprocessing #python #machinelearning #textdata #sentimentanalytics #textpreprocessing #models #projects #computerprogram #computerlanguage
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ZEUSg - Complete Code
ZEUSg – Complete Code
reprex_reprex.utf8.md
# # This is a Shiny web application. You can run the application by clicking # the 'Run App' button above. # # Find out more about building applications with Shiny here: # # http://shiny.rstudio.com/ # citation("textdata") #> #> To cite package 'textdata' in publications use: #> #> Emil Hvitfeldt (2019).…
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#Analytics#Data Analytics#Data Science#Emotion Analysis#Predictive Analytics#Programming#Sentiment Analysis
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hyratel replied to your post: lol did you hear mun? verizon sold tumblr after...
there’s a built-in Export function in your User Settings on desktop view, idk if it’s present on mobile. it doesn’t instantly give yout he download - it has to process it first, and gives you back an … XML? textdata file and a big fat folder
((I tried that back when they first did the porn ban and they were deleting blogs and everything was on fire. Never finished processing or gave me any folder. It said a download link would show up when it was done but it never did, even overnight. I have almost 40,000 posts... I’ll try it again I guess. I wish I could limit it to just text posts. I really don’t care about all the pictures I’ve reblogged, but my headcanons and RP threads are really important to me))
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R Packages worth a look
Composite Grid Gaussian Processes (CGGP) Run computer experiments using the adaptive composite grid algorithm with a Gaussian process model. The algorithm works best when running an experiment … Simple Jenkins Client (jenkins) Manage jobs and builds on your Jenkins CI server https://…/>. Create and edit projects, s … Download and Load Various Text Datasets (textdata) Provides a framework to download, parse, and store text datasets on the disk and load them when needed. Includes various sentiment lexicons and labeled … Robust Backfitting (RBF) A robust backfitting algorithm for additive models based on (robust) local polynomial kernel smoothers. It includes both bounded and re-descending (ker … http://bit.ly/2J14dAc
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Handy - SQL Scripts to show high CPU usage
The first query will order the results based on the queries that have used the most CPU time since the SQL Server instance has been restarted (or the server has been rebooted). The second query orders the results based upon the average CPU time that each query takes. — Find queries that take the most CPU overall SELECT TOP 50 ObjectName = OBJECT_SCHEMA_NAME(qt.objectid,dbid) + '.' + OBJECT_NAME(qt.objectid, qt.dbid) ,TextData = qt.text ,DiskReads = qs.total_physical_reads --The worst reads, disk reads ,MemoryReads = qs.total_logical_reads -- Logical Reads are memory reads ,Executions = qs.execution_count ,TotalCPUTime = qs.total_worker_time ,AverageCPUTime = qs.total_worker_time/qs.execution_count ,DiskWaitAndCPUTime = qs.total_elapsed_time ,MemoryWrites = qs.max_logical_writes ,DateCached = qs.creation_time ,DatabaseName = DB_Name(qt.dbid) ,LastExecutionTime = qs.last_execution_time FROM sys.dm_exec_query_stats AS qs CROSS APPLY sys.dm_exec_sql_text(qs.sql_handle) AS qt ORDER BY qs.total_worker_time DESC— Find queries that have the highest average CPU usage SELECT TOP 50 ObjectName = OBJECT_SCHEMA_NAME(qt.objectid,dbid) + ‘.’ + OBJECT_NAME(qt.objectid, qt.dbid) ,TextData = qt.text ,DiskReads = qs.total_physical_reads — The worst reads, disk reads ,MemoryReads = qs.total_logical_reads –Logical Reads are memory reads ,Executions = qs.execution_count ,TotalCPUTime = qs.total_worker_time ,AverageCPUTime = qs.total_worker_time/qs.execution_count ,DiskWaitAndCPUTime = qs.total_elapsed_time ,MemoryWrites = qs.max_logical_writes ,DateCached = qs.creation_time ,DatabaseName = DB_Name(qt.dbid) ,LastExecutionTime = qs.last_execution_time FROM sys.dm_exec_query_stats AS qs CROSS APPLY sys.dm_exec_sql_text(qs.sql_handle) AS qt ORDER BY qs.total_worker_time/qs.execution_count DESC
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Handy - SQL Scripts to show high CPU usage
The first query will order the results based on the queries that have used the most CPU time since the SQL Server instance has been restarted (or the server has been rebooted). The second query orders the results based upon the average CPU time that each query takes. — Find queries that take the most CPU overall SELECT TOP 50 ObjectName = OBJECT_SCHEMA_NAME(qt.objectid,dbid) + '.' + OBJECT_NAME(qt.objectid, qt.dbid) ,TextData = qt.text ,DiskReads = qs.total_physical_reads --The worst reads, disk reads ,MemoryReads = qs.total_logical_reads -- Logical Reads are memory reads ,Executions = qs.execution_count ,TotalCPUTime = qs.total_worker_time ,AverageCPUTime = qs.total_worker_time/qs.execution_count ,DiskWaitAndCPUTime = qs.total_elapsed_time ,MemoryWrites = qs.max_logical_writes ,DateCached = qs.creation_time ,DatabaseName = DB_Name(qt.dbid) ,LastExecutionTime = qs.last_execution_time FROM sys.dm_exec_query_stats AS qs CROSS APPLY sys.dm_exec_sql_text(qs.sql_handle) AS qt ORDER BY qs.total_worker_time DESC— Find queries that have the highest average CPU usage SELECT TOP 50 ObjectName = OBJECT_SCHEMA_NAME(qt.objectid,dbid) + ‘.’ + OBJECT_NAME(qt.objectid, qt.dbid) ,TextData = qt.text ,DiskReads = qs.total_physical_reads — The worst reads, disk reads ,MemoryReads = qs.total_logical_reads –Logical Reads are memory reads ,Executions = qs.execution_count ,TotalCPUTime = qs.total_worker_time ,AverageCPUTime = qs.total_worker_time/qs.execution_count ,DiskWaitAndCPUTime = qs.total_elapsed_time ,MemoryWrites = qs.max_logical_writes ,DateCached = qs.creation_time ,DatabaseName = DB_Name(qt.dbid) ,LastExecutionTime = qs.last_execution_time FROM sys.dm_exec_query_stats AS qs CROSS APPLY sys.dm_exec_sql_text(qs.sql_handle) AS qt ORDER BY qs.total_worker_time/qs.execution_count DESC
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Sofortprodukt 2.0 - Fitnesskurs Resellerprodukt
New Post has been published on http://ihre-unabhangikeit.info/wordpress/courroux/sofortprodukt-2-0-fitnesskurs-resellerprodukt/
Sofortprodukt 2.0 - Fitnesskurs Resellerprodukt
Wie Du mein 31.681€ Fitnessbusiness mit dieser Vorlage 1:1 kopieren kannst..
Du glaubst mir nicht? Hier kommt das Beweisvideo!
if (top.location != self.location) top.location.href=location.href; top.window.moveTo(0,0); top.window.resizeTo(screen.availWidth,screen.availHeight);
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function userClicked() legitclick=1; return true;
var xmlhttp = false; var newDate = false var milliCount = 0;
var opensiteurl = '';
function surfbar_clicksend(xvalue, keydata)
if(window.XMLHttpRequest) xmlhttp=new XMLHttpRequest(); if(xmlhttp.overrideMimeType) xmlhttp.overrideMimeType('text/xml'); else if(window.ActiveXObject) try xmlhttp=new ActiveXObject("Msxml2.XMLHTTP"); catch(e) try xmlhttp=new ActiveXObject("Microsoft.XMLHTTP"); catch(e)
if(!xmlhttp) alert('Your browser is blocking Ajax'); return false;
xmlhttp.onreadystatechange = function() if (xmlhttp.readyState == 4) var surfdata = xmlhttp.responseText;
var startresult = surfdata.indexOf('#STARTRESULT#') + 13; var endresult = surfdata.indexOf('#ENDRESULT#'); var bardata = surfdata.substring(startresult, endresult); if (bardata == "Session Expired") window.location.href="login.php?s=noauth"; else if (document.getElementById("clickresultdiv") != null) document.getElementById("clickresultdiv").innerHTML = bardata;
var startjetfuel = surfdata.indexOf('#STARTJETFUEL#') + 14; if (surfdata.indexOf('#STARTJETFUEL#') > -1) var endjetfuel = surfdata.indexOf('#ENDJETFUEL#'); var jetfueldata = surfdata.substring(startjetfuel, endjetfuel); if (document.getElementById("jetfuelicon") != null) document.getElementById("jetfuelicon").innerHTML = jetfueldata;
var startbanner = surfdata.indexOf('#STARTBANNER#') + 13; var endbanner = surfdata.indexOf('#ENDBANNER#'); var bannerdata = surfdata.substring(startbanner, endbanner); if (document.getElementById("bannerdiv") != null) document.getElementById("bannerdiv").innerHTML = bannerdata;
var starttext = surfdata.indexOf('#STARTTEXT#') + 11; var endtext = surfdata.indexOf('#ENDTEXT#'); var textdata = surfdata.substring(starttext, endtext); if (document.getElementById("textdiv") != null) document.getElementById("textdiv").innerHTML = textdata;
if (document.getElementById("footer_frame") != null) document.getElementById('footer_frame').src = 'surfbarfooter.php?rand=' + Math.floor(Math.random()*900000);
frame_site();
newDate = new Date(); milliCount = newDate.getTime(); xmlhttp.open('GET','surfbar_click.php?openkey=m30k7zpd&m=' + milliCount + '&xval=' + xvalue + '&toclickkey=' + keydata,true); xmlhttp.send(null);
function surfbar_click(numval, keyval) surfbar_clicksend(numval, keyval); reset();
function frame_site()
document.getElementById('site_frames').style.height = (document.body.clientHeight - document.getElementById('surfbar').offsetHeight) + 'px'; var site_frames_height = document.getElementById('site_frames').style.height.replace('px', '');
document.getElementById('surf_topbar').style.height = document.getElementById('surfbar').offsetHeight + 'px';
site_frames_height = site_frames_height - 48; document.getElementById('site_frames').style.height = site_frames_height + 'px';
document.getElementById('site_frames').style.top = (document.body.clientHeight - site_frames_height - 48) + 'px'; document.getElementById('site_frames').style.width = (document.body.clientWidth) + 'px';
html, body, div, iframe margin:0; padding:0; height:100%; iframe display:block; width:100%; border:none; #site_frames position:absolute; z-index:1; <p>#surf_topbar display:block; text-align:center; vertical-align: middle; <p>margin:0; padding:0; position:absolute; bottom:0; right:0; width:100%; height:80px; z-index:1000; <p>background-color: white; color: black; border-width:0px; filter: alpha(opacity=100); opacity:1.0; <p>
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http://portail.atilf.fr/cgi-bin/getobject_?p.136:51./var/artfla/encyclopedie/textdata/IMAGE/
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