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  • Drools Expert - mvel - LHS - advanced part 3
    == Exercise 1 == rule "Rule 1"
    307 bytes (38 words) - 06:54, 24 August 2016
  • JBPM 6 - 5.0 - jBPM with MySQL
    == Step 1 == Follow steps at http://docs.jboss.org/jbpm/v6.1/userguide/jBPMInstaller.html
    1 KB (106 words) - 14:39, 15 January 2015
  • SQL Cheat Sheet
    (100, 'Name 1', 'Value 1', 'Other 1'),
    340 bytes (56 words) - 08:52, 2 October 2017
  • Linux LPI LPIC-1 Exam 101 Preparation
    Linux LPI LPIC-1 Exam 101 Preparation ;title: Linux LPI LPIC-1 Exam 101 Preparation
    597 bytes (77 words) - 07:59, 2 October 2017
  • Editing Linux LPI LPIC-1 Exam 102 Preparation
    Linux LPI LPIC-1 Exam 102 Preparation ;title: Linux LPI LPIC-1 Exam 102 Preparation
    633 bytes (81 words) - 07:39, 2 October 2017
  • Module 1.2 - Selenium IDE - Example 2 - Iteration
  • Values of the Pearson Correlation
    Pearson's r can range from -1 to 1. * r = 1 indicates a perfect positive linear relationship between variables
    2 KB (321 words) - 18:30, 25 May 2014
  • Introduction to R notes
    plot( x, dnorm( x, mean = 3, sd = 1), main =" Normal", type ='l', ylim = ylim) plot( x, dexp( x, rate = 1/ 2), main =" Exponential", type ='l', ylim = ylim)
    417 bytes (60 words) - 07:50, 2 October 2017
  • Module 1.1 - Selenium IDE - Example 1
  • Statistics for Decision Makers - 29.01 - Decision Trees
    == Example 1 。== == Exercise 1。 ==
    2 KB (239 words) - 01:07, 12 June 2014
  • Tst 1
    1
    1 bytes (0 words) - 02:28, 19 March 2019
  • Business Motivation Model
    {{Cat|OCEB B200.1 - BMM}} == Exercise 1 ⌘==
    806 bytes (112 words) - 17:39, 19 November 2012
  • JBPM 6 - Overview
    #REDIRECT [[JBPM 6 - 1 Overview]]
    33 bytes (4 words) - 22:35, 16 April 2014
  • OCEB quizes
    #REDIRECT [[BPMN 2.0 Questions 1]]
    34 bytes (3 words) - 22:33, 12 January 2012
  • Nato Architecture Framework (NAF) - 1 of 5 - Introduction
    #REDIRECT [[Nato Architecture Framework (NAF) - 1 - Introduction]]
    66 bytes (8 words) - 15:28, 6 March 2012
  • Tuples and Lists
    l = [1,2,3,4] print l[-1] # last
    1 KB (210 words) - 20:07, 5 February 2013
  • Nato Architecture Framework (NAF)
    #REDIRECT [[Nato Architecture Framework (NAF) Introduction (1 of 4)]]
    69 bytes (7 words) - 22:45, 30 October 2011
  • Nato Architecture Framework (NAF) Introduction (1 of 4)
    #REDIRECT [[Nato Architecture Framework (NAF) - 1 of 5 - Introduction]]
    71 bytes (9 words) - 12:20, 31 October 2011
  • JBoss 5.1 - Chapter 05.1 - JMS with JBoss
    {{Cat|JBoss AS 5.1}} <?xml version="1.0" encoding="UTF-8" standalone="yes"?>
    4 KB (293 words) - 16:10, 26 November 2014
  • Course 01 - Introduction to Selenium
    * [[Module 1.1 - Selenium IDE - Example 1]] * [[Module 1.2 - Selenium IDE - Example 2 - Iteration]]
    410 bytes (57 words) - 21:21, 28 May 2013
  • Built-in functions
    l = [0,1,2,3] l = range(4) # [0,1,2,3]
    1 KB (197 words) - 19:20, 6 February 2013
  • Nato Architecture Framework (NAF) - 4 of 5 - NATO Meta Model - Elements Defintions
    #REDIRECT [[Nato Architecture Framework (NAF) - 4 1 of 5 - NATO Meta Model - Elements Defintions]]
    98 bytes (14 words) - 15:16, 6 March 2012
  • Properties of Pearson's r
    A basic property of Pearson's r is that its possible range is from -1 to 1. * A correlation of -1 means a perfect negative linear relationship,
    2 KB (344 words) - 08:21, 25 November 2021
  • Things that got lost on the way
    ...ents of the same type. This is useful for sorting. cmp() returns -1, 0, or 1. d = {1:'A', 2:'B'}
    1 KB (201 words) - 20:41, 5 February 2013
  • Statistics for Decision Makers - 12.02 - Testing Means - Repeated Tests
    * The results were (10,20,30) before the change and (1,2,3,4,5) after the change * The results were pre: (1,21,31,29) post: (1,2,3,4,5)
    3 KB (408 words) - 01:05, 11 June 2014
  • Power Demo 2
    < [[Power Demo 1]] | [[Factors Affecting Power]] >
    163 bytes (18 words) - 17:32, 25 November 2014
  • Statistics for Decision Makers - 04.02 - Pearson Correlation
    Pearson's r can range from -1 to 1. * r = 1 indicates a perfect positive linear relationship between variables
    5 KB (642 words) - 17:22, 11 June 2014
  • Nato Architecture Framework (NAF) - 4.7 - NATO Meta Model - NTV
    == NTV-1 Technical Standards Profile。 == NTV-1 defines the technical and non-technical standards, guidance and policy appl
    3 KB (396 words) - 14:50, 28 August 2014
  • Standard Normal Distribution
    A normal distribution with a mean of 0 and a standard deviation of 1 * Since the distribution has a mean of 0 and a standard deviation of 1, the Z column is equal to the number of standard deviations below (or above
    3 KB (480 words) - 16:07, 2 June 2014
  • Git Exercieses
    1. Show the difference between 2012-01-01 and 12-12323
    121 bytes (20 words) - 07:43, 2 October 2017
  • Levels of Measurement
    A 0 0 1 1 0 0 0 0 0 0 2 B 1 0 1 1 0 0 0 0 0 0 3
    5 KB (630 words) - 22:31, 30 May 2014
  • Indexes in MongoDB
    for (var i=1; i<=1000000; i++) { "score" : Math.floor(Math.random()*10+1),
    8 KB (839 words) - 10:26, 19 October 2018
  • Git - Bisect
    for i in $(seq 10) ; do echo "# round 1 $i" >> code.sh ; git commit -a -m "c$i" ; done echo "exit 1" > code.sh
    2 KB (277 words) - 10:04, 4 December 2012
  • Steps in Hypothesis Testing
    == Step 1: State the Null Hypothesis == * A typical null hypothesis is μ1 - μ2 = 0 which is equivalent to μ1 = μ2
    3 KB (410 words) - 17:03, 3 February 2012
  • Nato Architecture Framework (NAF) - 3.7 - NATO Programme View
    == NPV-1, Programme Portfolio Relationships。 == The Programme Portfolio Relationships Subview (NPV-1) details the relationships among projects within a major NATO programme, su
    4 KB (569 words) - 19:20, 24 November 2014
  • Docker Swarm (KB)
    $ docker swarm join --token SWMTKN-1-3nt...sfe 10.0.2.10:2377 $ docker service create --replicas 1 --name training kamilbaran/nobleprog_training:training_app_v1
    2 KB (306 words) - 07:13, 29 August 2018
  • Test Page
    <div>1</div>
    160 bytes (19 words) - 10:31, 26 February 2024
  • Sql course dec1
    create table salgrade (grade int(1), losal int(4), hisal int(4)); insert into salgrade values (1, 700, 1200), (2, 1201, 1400), (3, 1401, 2000), (4, 2001, 3000), (5, 3001, 9
    988 bytes (119 words) - 08:52, 2 October 2017
  • R - ANOVA
    ...in satisfaction level (SAT) over four training sessions (training-Quarter 1 or TQ1, etc.) for 20 unemployed men and women undergoing quarterly training s <- rbind(s,cbind(Gender,Sat=TQ1,Quarter="1"))
    2 KB (350 words) - 09:56, 6 March 2016
  • Language Basics
    -a = 1 * 2 -2 = 1 + 1
    1 KB (188 words) - 17:29, 13 February 2013
  • Drools Expert - mvel - LHS - advanced part 2
    == Exercise 1⌘ == Rewrite the exercise 1 using ''accumulate'' function<br/>
    2 KB (175 words) - 09:29, 24 August 2016
  • R - Forecasting
    rawdata <- read.table("http://training-course-material.com/images/1/19/Sales-time-series.txt",h=T) * Equivalent to ARIMA (0,1,1) model with no constant term
    6 KB (995 words) - 19:16, 25 September 2016
  • R - Quiz
    '''Question 1''' * Clients[,c(1,2)]
    850 bytes (132 words) - 05:48, 19 November 2018
  • Overview of Conversation and Choreographies
  • Data Modelling
  • Nato Architecture Framework (NAF) - 4.9 - NATO Meta Model - NPV
    == NPV-1 Programme Portfolio relationships。 == NPV-1 view products represent an organisational perspective on programmes.
    4 KB (555 words) - 14:51, 28 August 2014
  • Variability
    * Specifically, the scores on Quiz 1 are more densely packed and those on Quiz 2 are more spread out. * The differences among students were much greater on Quiz 2 than on Quiz 1.
    7 KB (1,064 words) - 08:35, 27 May 2014
  • BPMN Exercises
    == Exercises 1 ==
    1 KB (193 words) - 05:01, 2 August 2017
  • Parser Functions and Lua Scripts
    ...with predefined functions that comes bundled with MediaWiki since version 1.17. {{#if: 1 | yes | no}}
    1 KB (165 words) - 13:27, 10 July 2015
  • OCUP Miscellaneous basic notions
  • Docker Machine
    --amazonec2-region eu-west-1 \ aws-machine-1
    3 KB (288 words) - 22:25, 18 March 2019
  • Loops with for and while
    for elem in [1,2,3,4]: i = i + 1
    1,022 bytes (167 words) - 20:09, 5 February 2013
  • R - Grouping Data
    [1] 2073.214 [1] 14
    5 KB (509 words) - 05:24, 14 February 2017
  • Shapes of Distributions
    * The mean and median of the baseball salaries are $1,183,417 and $500,000 respectively. * The standard deviation of the baseball salaries is 1,390,922.
    3 KB (356 words) - 17:39, 27 May 2014
  • Variables and Types
    e = a/b # 1 i = 7.0//b # floor div, 1.0
    1 KB (141 words) - 20:08, 5 February 2013
  • One-Way Tables
    ...ded die, the probability of of any given outcome on a single roll would be 1/6 * The data in Table 1 were obtained by rolling a six-sided die 36 times
    6 KB (903 words) - 18:07, 25 November 2014
  • Modelling Events
  • JBoss 5.1 - Chapter 04 - Web Application Deployment
    {{Cat|JBoss AS 5.1}} ...terprise_Web_Server/1.0/pdf/Installation_Guide/JBoss_Enterprise_Web_Server-1.0-Installation_Guide-en-US.pdf
    3 KB (399 words) - 16:09, 26 November 2014
  • Binomial Distribution
    *In the case of coins, heads and tails each have the same probability of 1/2. | 1
    8 KB (1,195 words) - 16:29, 28 May 2014
  • Statistics for Decision Makers - 07.01 - Normal Distributions
    * "Gaussian curve" (μ = 0, σ = 1) =NORMDIST(1,0,1,FALSE) = 0.2419707245
    4 KB (518 words) - 01:05, 11 June 2014
  • Statistics for Decision Makers - 05.04 - Probability - Binomial Distribution
    *In the case of coins, heads and tails each have the same probability of 1/2. | 1
    8 KB (1,124 words) - 02:02, 12 June 2014
  • Statistics for Decision Makers - 05.01 - Probability
    ...utcomes, the probability of any given one of them occurring is taken to be 1/N. * The probability of heads is taken to be 1/2, as is the probability of tails
    6 KB (892 words) - 12:09, 12 June 2014
  • R - Dealing with Date and Time
    [1] "2012-04-15" [1] "2012-04-15 03:20:45 BST"
    7 KB (787 words) - 22:00, 14 February 2017
  • Statistics for Decision Makers - 03.03 - Summarizing Distributions - Variability
    * The scores on Quiz 1 are more '''densely packed''' and those on Quiz 2 are more '''spread out''' ...'''differences''' among students were much greater on Quiz 2 than on Quiz 1
    9 KB (1,212 words) - 19:10, 12 June 2014
  • JBPM 6 - 1.0 - Workbench Overview
    =JBPM 6 - 1.0 - Workbench Overview= == Lab 1.1.1 Executing Process in Kie ==
    2 KB (203 words) - 15:37, 19 November 2016
  • Introduction to Selenium
    = Day 1 = == Day 1 Agenda ⌘==
    4 KB (553 words) - 15:15, 2 October 2017
  • R - Multiple regression - Quizz
    +Always between 0 and 1 (inclusive). ...d scores when there are two or more predictors. It is always between 0 and 1.
    4 KB (534 words) - 12:33, 6 March 2016
  • Statistics for Decision Makers - 03.04 - Summarizing Distributions - Distributions
    * The mean and median of the baseball salaries are $1,183,417 and $500,000 respectively * The standard deviation of the baseball salaries is 1,390,922
    3 KB (462 words) - 10:47, 12 June 2014
  • Angular 2 Hours
  • Introduction to Probability
    ...utcomes, the probability of any given one of them occurring is taken to be 1/N. ...e will land up or down. Therefore, the probability of heads is taken to be 1/2, as is the probability of tails.
    6 KB (1,004 words) - 21:26, 25 May 2014
  • R - Basic Statistics
    1. You flip a fair coin 10 times. What is the probability of getting 8 or mor 1.600 2.163 4.000 3.488 4.454 5.100
    3 KB (403 words) - 03:03, 9 March 2016
  • Nato Architecture Framework (NAF) - 3.6 - NATO Technical View
    == NTV-1, Technical Standards Profile。 == * The Technical Standards Profile (NTV-1) provides a list of standards guiding and constraining the implementation o
    8 KB (1,079 words) - 19:19, 24 November 2014
  • OCEB2BI
  • Degrees of Freedom
    # Estimate the variance from a sample of 1 if the population mean is known ...of the variance (5-6)2 = 1. We could then average our two estimates (4 and 1) to obtain an estimate of 2.5. Since this estimate is based on two independ
    6 KB (925 words) - 17:26, 25 November 2014
  • R - Forecasting with ARIMA
    :<math> X_t = c + \sum_{i=1}^p \varphi_i X_{t-i}+ \varepsilon_t \,</math> rawdata <- read.table("http://training-course-material.com/images/1/19/Sales-time-series.txt",h=T)
    2 KB (223 words) - 16:52, 25 November 2014
  • Introduction to Normal Distributions
    * Gaussian curve is a special case of a Normal Distribution (μ = 0, σ = 1) =NORMDIST(1,0,1,FALSE) = 0.2419707245
    3 KB (380 words) - 10:49, 3 June 2014
  • Statistics for Decision Makers - 14.05 - Regression - Multiple Regression
    UGPA' = b<sub>1</sub> x HSGPA + b<sub>2</sub> x SAT + A b<sub>1</sub>, b<sub>2</sub> are '''regression coefficients''' or '''regression wei
    6 KB (821 words) - 03:00, 12 June 2014
  • R - Data Analysis
    1 BUSH 5000 1 CARNEGIE ANALYST 3000
    1 KB (172 words) - 09:02, 5 March 2016
  • Partitioning the Sums of Squares
    :1. the sum of squares predicted (SSY') ::*In other words, it is the sum of the y'2 column and is equal to 1.806
    6 KB (868 words) - 22:28, 3 June 2014
  • Chi Square Exercises
    '''1. Exercise''' | 1 || 9
    3 KB (388 words) - 18:09, 25 November 2014
  • Statistics for Decision Makers - 05.02 - Probability - Basic Concepts
    * The probability that a one will come up is 1/6 P(1 or 6) = 2/6 = 1/3
    13 KB (2,278 words) - 01:58, 12 June 2014
  • Power Exercises
    '''1. Exercise''' Population 1 mean = 36
    2 KB (307 words) - 17:33, 25 November 2014
  • Module 3 - Selenium WebDriver - Example 2 - Data Driven - Test Class
  • Distributions
    * The sum of all probabilities is always 1.0 | 1
    5 KB (625 words) - 21:09, 31 May 2014
  • Basic Concepts
    * Since there are six possible outcomes, the probability is 1/6. * So the probability of throwing either a one or six is 1/3.
    18 KB (3,138 words) - 15:03, 26 May 2014
  • Front End Developer
    DAY 1 -- HTML & CSS 1. "css_part" folder
    6 KB (730 words) - 12:10, 3 October 2022
  • Sharding in MongoDB
    * $minKey <= '''chunk1''' < split point 1 <= '''chunk2''' < $maxKey > db.visitors.createIndex({"visitor" : 1})
    4 KB (552 words) - 22:37, 16 April 2018
  • Strings
    print s[-1] # last character print s[1:6] # 'anipu'
    2 KB (215 words) - 20:03, 5 February 2013
  • Webdriver Python
    .....: print query[1] ...r.find_elements_by_xpath("//tr[@class='briefCitRow']//td[3]/table/tbody/tr[1]/td/a")
    3 KB (395 words) - 09:09, 2 October 2017
  • Multinomial Distribution
    n1 is the number of times Outcome 1 occurs, p1 is the probability of Outcome 1
    2 KB (365 words) - 17:34, 26 May 2014
  • Git - Working Locally
    1. Create a file structure 1 file changed, 1 insertion(+)
    6 KB (897 words) - 14:08, 8 November 2023
  • Statistics for Decision Makers - 05.05 - Probability - Base Rate Fallacy
    * 1/1000 of drivers are driving drunk | Test Positive || 1 || 0.05
    7 KB (992 words) - 19:24, 11 June 2014
  • Standard Error of the Estimate
    The standard error of the estimate for a population is sqrt[(1-rho2)*SSY/N] sqrt[(1-.52)*50/100] equals .61
    4 KB (576 words) - 14:09, 5 June 2014
  • Python - Beijing - Notes
    daemon:x:1:1:daemon:/usr/sbin:/usr/sbin/nologin
    1 KB (213 words) - 08:35, 2 October 2017
  • VBA Wroclaw 2012-09
    wynik = 1 / 2 * (a + b) * h For a = 1 To 10
    5 KB (680 words) - 09:07, 2 October 2017
  • Machine Learning
  • R - Time Series
    s <- read.table("http://training-course-material.com/images/1/19/Sales-time-series.txt",h=T) sts <- ts(s$Price,start=2002,deltat=1/12)
    2 KB (252 words) - 09:17, 6 March 2016
  • Statistics for Decision Makers - 13.01 - Power
    power = 1 - β * The scale of satisfaction is from 1 to 10
    5 KB (824 words) - 18:13, 25 November 2014
  • Statistics for Decision Makers - 14.02 - Regression - r squared
    ;1. The sum of squares predicted (SSY') or Explained Sum of Squares (ESS) ::<math> \sum_{i = 1}^n (Y' - {M'})^2 </math>
    7 KB (1,064 words) - 02:50, 12 June 2014
  • Normal Approximation to the Binomial
    σ2 = Nπ(1-π)= (10)(0.5)(0.5) = 2 σ = 1.5811
    3 KB (457 words) - 11:10, 22 November 2021
  • Characteristics of Estimators
    {{Cat|Estimation|1}} ...of being biased, is fairly accurate. Its measurements are never more than 1.02 pounds from your actual weight.
    6 KB (1,039 words) - 17:13, 25 November 2014
  • Drools jBPM
    1. Create a ruleflow where first discount 10% off is calculated into ''discou 1. 新建一个ruleflow，实现第一个10%折扣计入 ''discount'' field�
    1 KB (156 words) - 04:03, 14 August 2016
  • NobleProg BPMN Certification Level 1 - Complete Materials
  • Statistics for Decision Makers - 03.02 - Summarizing Distributions - Central Tendency
    | 1 ...numbers 1, 10, and 100, the product of all the numbers is: 1 x 10 x 100 = 1,000
    11 KB (1,703 words) - 12:13, 12 June 2014
  • Specific Comparisons (Independent Groups)
    ** high-self-esteem subjects (esteem = 1) ** succeeded (outcome = 1)
    15 KB (2,086 words) - 17:28, 25 November 2014
  • Drools Rule Attributes
    rule "Rule 1" rule "Rule 1"
    5 KB (732 words) - 21:23, 30 May 2017
  • SysML Package Diagram
  • SBVR
    ...rived - ''if Person 1 is a brother of Person 2 therefore Parents of Person 1 are parents of Person 2''
    2 KB (277 words) - 21:45, 20 November 2012
  • AngularJS Good Practices
    * Agnular 1 vs Angular 2 ** Upgrading from 1
    2 KB (268 words) - 15:39, 29 July 2016
  • London Stock Exchange
    * answer 1
    609 bytes (79 words) - 07:59, 2 October 2017
  • Testing a Single Mean
    {{Cat|Testing Means| 1}} * The sample mean differed from the hypothesized population mean by 1
    8 KB (1,241 words) - 17:27, 25 November 2014
  • OCUP2I
  • DaDesktop Manual for Clients
    === Using Clipboard 1 ⌘===
    3 KB (355 words) - 09:26, 11 February 2020
  • Drools Kie - Decision Table
    //from row number: 1 rule "Row 1 Progressive Discount Table"
    5 KB (523 words) - 03:15, 31 August 2016
  • Statistics for Decision Makers - 14.04 - Regression - Inferential Statistics
    (Intercept) 1.63968 0.45150 0.00191 F-statistic: 6.142 on 1 and 18 DF, p-value: 0.02334
    3 KB (427 words) - 01:07, 11 June 2014
  • Judy test
  • Multi-Factor ANOVA (Between-Subjects)
    * Table 1 shows that this marginal mean is equal to the average of 5.65 and 6.15 whic | Weight || 1 || 10.4673 || 10.4673 || 6.214 || 0.0136
    17 KB (2,444 words) - 17:58, 25 November 2014
  • OCUP2F - Full Printable Slides
  • Nlp-day3
    ### 1 word_and_tag[1]
    10 KB (1,302 words) - 08:13, 2 October 2017
  • BPMN 2.0 Process, Collaboration, Choreography and Conversation
    [[File:Figure10-1-example-of-process.png|500px]] [[File:FIgure7-1-example-of-a-private-business-process.png|500px]]
    2 KB (332 words) - 18:57, 25 November 2014
  • BPMN v1.1 - Element Attributes
    ;title: BPMN v1.1 - Element Attributes ; StartQuantity 1 : Integer
    8 KB (1,187 words) - 09:15, 22 November 2012
  • JBPM 6 - 5.0 - jBPM with REST PHP
    curl -v -H 'ACCEPT: application/json' 'http://krisv:krisv@10.10.1.16:8080/businesst/query/task' curl_setopt($ch, CURLOPT_RETURNTRANSFER,1);
    1 KB (175 words) - 08:57, 27 March 2017
  • Module 3 - Selenium WebDriver - Example 2 - Data Driven - Helper Class
  • Filip Drools Integration
    * Step 1. Using Drools as a library
    949 bytes (133 words) - 14:27, 17 December 2019
  • Contingency Tables
    ...elationship between nominal variables for significance. For example, Table 1 shows the data from the Mediterranean Diet and Health case study. Table 1. Frequencies for Diet and Health Study (Outcome).
    7 KB (1,061 words) - 18:09, 25 November 2014
  • WebServices
    [[File:Web Services 1.png|400px]] == Web Services History 1 ⌘==
    5 KB (578 words) - 19:42, 26 June 2018
  • Backup and Restore in MongoDB
    === Method #1: Filesystem Snapshot ===
    3 KB (463 words) - 11:51, 28 April 2019
  • MySQL Replication
    ** the default mode within MySQL 5.1.12 and later == How Replication Works (part 1)? ⌘==
    7 KB (1,042 words) - 14:12, 23 October 2014
  • Filip Drools DMN
    * OMG Specification (version 1.2 published in January 2019) <small>Decision Model and Notation Beta 1, Figure 1: Aspects of modeling</small>
    3 KB (340 words) - 20:18, 17 December 2019
  • Differences between Two Means (Independent Groups)
    ...le difference between the female mean of 5.35 and the male mean of 3.88 is 1.47 Small-to-moderate violations of assumptions 1 and 2 do not make much difference (simulation in the next section)
    8 KB (1,205 words) - 17:27, 25 November 2014
  • Unique values from range
    licznik = licznik + 1
    1 KB (125 words) - 18:38, 25 November 2014
  • MongoDB for Developers
    > db.people.findOne({}, {"Name" : 1, "Nationality" : 1}) > db.people.findOne({}, {"Name" : 1, "Nationality" : 1, "_id" : 0})
    14 KB (1,678 words) - 22:45, 12 April 2021
  • R - Merging Data Frames
    1 10 7839 BUSH PRESIDENT NA 17/11/1981 5000 NA ACCOUNTING NEW YO 1 BUSH ACCOUNTING
    13 KB (1,357 words) - 07:11, 14 February 2017
  • Nato Architecture Framework (NAF) - 4.3 - NATO Meta Model - NCV
    == NCV-1 Capability vision。 == * The data in an NCV-1 can include:
    8 KB (1,015 words) - 19:21, 24 November 2014
  • Load balancing with nginx
    :* Connection 1 to host 1, connection 2 to host 2, connection 3 to host 1 etc etc ...ound-robin load balancer setup with backends at 127.0.0.1:8001 and 127.0.0.1:8002
    4 KB (554 words) - 17:25, 24 November 2014
  • Pairwise Comparisons (Correlated Observations)
    ...in times for each pair of conditions for each subject is calculated. Table 1 shows these scores for 5 of the 42 subjects. | -1
    4 KB (564 words) - 17:31, 25 November 2014
  • R - Testing Means
    [1] 0.01063538 0.5834277 1.0000000
    6 KB (891 words) - 08:09, 15 February 2017
  • TypeScript 2
  • Performance Test Sample Report
    | 2 || 1 || 4 || 2 || 8 # The scenarios has been recorded using JMeter v. 2.5.1
    5 KB (608 words) - 16:50, 24 November 2014
  • SQL Exercises
    1. List employees whose Daily salary is more than 100. #* make sure there is at least 1 row with not active spy
    9 KB (967 words) - 23:45, 11 October 2023
  • Drools Stavanger
    rule "Exercise 1" ==Exercise 1==
    7 KB (985 words) - 12:49, 15 June 2017
  • Troubleshooting
    === Common errors (1) ⌘=== large body: 13106010 bytes, client: 127.0.0.1, server: , request:
    6 KB (837 words) - 17:32, 24 November 2014
  • R - Multiple regression
    (Intercept) 0.5397848 0.3177784 1.699 0.0924 . Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1
    11 KB (1,580 words) - 12:32, 6 March 2016
  • OCUP2F 01 Why We Model
  • OCUP Amdocs
  • BPMN v1.1 - Loops
    ;title: BPMN 2.0 BPMN v1.1 - Loops ;LoopMaximum (0-1) : Integer
    5 KB (741 words) - 02:41, 17 November 2012
  • Factors Affecting Power
    Figure 1 shows that the larger the sample size, the higher the power. Since sample s Figure 1. The relationship between sample size and power for H<sub>0</sub>: μ = 75,
    4 KB (639 words) - 17:33, 25 November 2014
  • WSDL
    # <?xml version="1.0" encoding="utf-8"?> [[File:WSDL 1.png|600px]]
    6 KB (812 words) - 01:49, 4 November 2015
  • BPMN 2.0 Analysts Razvan
    ===Error Events Example 1⌘=== [[File:FIgure7-1-example-of-a-private-business-process.png|500px]]
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  • Statistics for Decision Makers - 07.02 - Normal Distributions - Calculating Probabilities
    =Example 1。= As in Example 1, the shaded area between 80 and 120 contains 68% of the distribution.
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  • Confidence Interval
    ...from 66.48 to 113.52. These limits were computed by adding and subtracting 1.96 standard deviations to/from the mean of 90 as follows: 90 - (1.96)(12) = 66.48
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  • Effects of Linear Transformations
    { You have 12 numbers. The mean is 3, and the variance is 1. You multiply each number by 4. What is the new variance? 1*(4<sup>2</sup>) is 16
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  • Selenium HP Web Test Tool Training
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    | 1 | 700 | 1200 | 1 7839 BUSH PRESIDENT NA 1981-11-17 5000 NA 10
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  • Drools Kie - Example
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  • Nlp-day2
    ### 1 sum(1 for n in wn.all_synsets('n'))
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  • Lua Adam
    IDEA: Printed handout version of this page (1-3 pages, checklist format? Space for short notes?) ==Day 1==
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  • Using the Python Debugger (pdb)
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    x = 1; assert (x > 1);
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  • Chi Square Distribution
    * Therefore, Chi Square with one degree of freedom, written as χ<sup>2</sup>(1), is simply the distribution of a single normal deviate squared - A Chi Square distribution with 1 df
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  • What is New in UML 2.5
    ===6.1 Specification Simplification=== ...y. In particular, the following major changes have been made since UML 2.4.1:
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  • Narzędzia Refaktoryzacji
    pear config-set auto_discover 1 pear config-set auto_discover 1
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  • MongoDB for Administrators
    bindIp: 127.0.0.1 cacheSizeGB: 1
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  • Type I and II Errors
    == Example 1。== * The probability of correctly rejecting a false null hypothesis '''equals 1- β and is called [[:Category:Power|Power]]'''
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  • MySQL Cwiczenia
    === 1.1. Jakie informacje chcemy przechowywać? ⌘=== === 1.2. Jakie tabele powinna zawierać baza? ⌘===
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  • Statistics for Decision Makers - 06.04 - Research Design - Experimental Design
    * The independent variable is "Condition" and has two levels (Design 1 and Design 2). ...ere used for the '''two levels''' of the independent variable: the "Design 1" or the "Design 2" '''condition'''.
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  • Nato Architecture Framework (NAF) - 4.5 - NATO Meta Model - NSOV
    ...ke it operative, it is common to use Modaf Metamodel instead of NAF (as v3.1 does anyway) == NSOV-1 Service taxonomy。 ==
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  • Nlp
    ### 1 # 1. Write the function that computes lexical diversity:
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  • Central Tendency
    | 1 * Likewise, the sum of the absolute deviations from 5 equals 3 + 2 + 1 + 4 + 11 = 21.
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    ===Signal Event Example 1⌘=== ===Error Events Example 1⌘===
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  • Statistics for Decision Makers - 11.05 - Type I and Type II Errors
    == Example 1。== * The probability of correctly rejecting a false null hypothesis '''equals 1- β and is called [[:Category:Power|Power]]'''
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    Const cs As String = "Provider=OraOLEDB.Oracle.1;Password=asdf;Persist Security Info=False;User ID=SYSTEM;Data k = k + 1
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  • Statistics for Decision Makers - 14.03 - Regression - Standard Error of Estimate
    Min. : 9.00 Min. :1.300 -1.04103 -0.50375 0.02616 0.35529 0.99023
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  • Express
    1. First, let's create a new route for all our API requests. 1. First, let's build our Angular application by running the Angular-CLI buil
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  • Part 1.0 - Creating and Editing Pages
    There are 5 levels of headings, although level 1 shoudn't be used within a page. <nowiki>line 1</nowiki>
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  • Permutations and Combinations
    3! = 3 x 2 x 1 = 6 4! = 4 x 3 x 2 x 1 = 24
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  • Influential Observations
    A common rule of thumb is that an observation with a value of Cook's D over 1.0 has too much influence. ...predictor variable so that it has a mean of 0 and a standard deviation of 1.
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  • Git - Tagging
    git tag v1.1.0 1b2e1d63n git tag -a stable-1 1b2e1d63ff
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  • OCEB2F - Full Printable Slides
  • Angular Revisit
    npm i jquery@1.9.1 == Redux - core concept 1 ⌘==
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  • Sampling distribution
    ...strate the concept of sampling distributions with a simple example. Figure 1 shows three pool balls, each with a number on it. Two of the balls are sele Figure 1. The pool balls.
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  • XQuery Exercises
    -1. KYDB - Know Your Database 1. Do one part at a time, step by step
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  • All Pairwise Comparisons Among Means
    === 1. Compute the means and variances of each group === | False-Felt || 0.46 || 1.65 || 0.649
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  • Base Rates
    ...2. If P(D') represents the probability that Event D is false, then P(D') = 1 - P(D) = 0.98. ...ndicates that the person doesn't have the disease when he/she really does. 1 - .98 equals to .02
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  • Nato Architecture Framework (NAF) - 3.2 - NATO Capability View
    == NCV-1, Capability Vision。 == ...ture which is more general than the scenario-based scope defined in an NOV-1
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  • Nato Architecture Framework (NAF) - 4.2 - NATO Meta Model - NAV
    == NAV-1 Overview and summary information。 == The data in an NAV-1 can include:
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  • JMeter Advanced
    * Added MySQL JDBC driver: http://dev.mysql.com/downloads/connector/j/5.1.html * Note the -1, which when combined with a ForEach Logic Controller processes all rows
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  • Git - Setting Up Central Server
    ;1. Create a Group
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  • Statistics for Decision Makers - 14.01 - Regression
    | 1.00 | 1.00
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  • Chi-square
    * Therefore, Chi Square with one degree of freedom, written as χ<sup>2</sup>(1), is simply the distribution of a single normal deviate squared - A Chi Square distribution with 1 df
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  • Nato Architecture Framework (NAF) - 4.6 - NATO Meta Model - NSV
    == NSV-1 System interface description。 == ...tor (i.e. a line with possible amplifying information). The data in an NSV-1 can include:
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    1. Family example Ex3.1. Rewrite previous solution: pair ?container and ?what in select clause.
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  • PL - BPMN 2.0
    ===Error Events Example 1⌘=== * Zadanie 1. Logowanie
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  • Nato Architecture Framework (NAF) - 3.1 - NATO All View
    ;title: NAF - Part 3.1 - NATO All View == NAV-1, Overview and Summary Information。 ==
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  • CSS Selectors
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  • Within-Subjects ANOVA
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  • Computing Pearson's r
    ...for each y value. Then add these values together. (-2)(0) + (0)(-1) + (2)(1) is 2
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  • Functions
    def calc_price(fruit,n=1):
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  • Drupal 7 Themes
    === Exercise 1 ⌘=== ; settings[breadcrumbs] = 1
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  • Statistics for Decision Makers - 05.03 - Probability - Combinatorics
    3! = 3 x 2 x 1 = 6 4! = 4 x 3 x 2 x 1 = 24
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  • BPMN 2.0 Intro Analysts Razvan
    === Parallel Gateway Example 1⌘=== === Inclusive Gateway Example 1⌘===
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  • Introduction to Multiple Regression
    UGPA' = b<sub>1</sub>HSGPA + b<sub>2</sub>SAT + A HSGPA' = -1.314 + 0.0036 x SAT
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  • Tests Supplementing ANOVA
    H0: μ1 = μ2 = ... μk | 1
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  • Example Calculations
    The binomial distribution for N = 16 and π = 0.50 is shown in Figure 1. The probability of being correct on 11 or more trials is 0.105 and the pro Figure 1. The binomial distribution for N = 16 and π = 0.50.
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  • Administering Drupal 8 Website
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  • BPMN 2.0 Fundamentals and Workshop
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  • Enterprise Architecture in an Enterprise
    | 1% | Defects will be reduced from 3 in every 1,000 to 1 in every 1,000 by June.
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  • 002 Recording functional and regression tests in Selenium IDE
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    * usually there are 1 or a few optimal solutions * There is always at least 1 optimal solution, even in the case that there are no feasible solutions and
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    = JBPM 6 - 1.6 - Triggering Process via REST 通过REST触发流程 = * http://docs.jboss.org/jbpm/v6.1/userguide/jBPMRemoteAPI.html
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    {{Cat|NobleProg BPMN Certification Level 1|01.1}} AKA: 1-out-of-M join.
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  • Inferential Statistics for b and r
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  • Public Process and Collaboration
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  • Hypergeometric Distribution
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  • Course Introduction EN Luke
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  • Machine Learning with R
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  • Useful Python modules
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  • BPMN 2.0 Purpose and Structure
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    [then]Set discount to {discount} = sc.setTotalPrice( $totalPrice * (1-{discount}) ); update(sc); Set discount to 0.1
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  • SQL Quiz
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  • Nato Architecture Framework (NAF) - 4 - NATO Meta Model - Introduction
    * NAF 3.1 uses MoDAF 1.2.003 metamodel ...e the following diagrams of follow the link below to learn about version 3.1
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  • Statistics for Decision Makers - 06.03 - Research Design - Sampling Bias
    ;Example 1 ;Example 1
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  • What to Test
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  • Enterprise Architecture Repository and Model Exchange
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  • Part 3.0 - Organising Content
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    ...Ross, Business Rule Concepts: Getting to the Point of Knowledge, Figure 1-1, simple concept model in graphical form</small> <p style="font-size:10px">Drools documentation, Figure 1.1. High-level View of a Rule Engine</p>
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    cd /opt/jbpm-installer/wildfly-10.1.0.Final/standalone/log '''Exercise 1.1'''
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    [[File:1. Emirates_logo2.png|100px]]
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  • RDS Patrick Custom2
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  • Market Forecasting
    :The closer R is to 1 the more certain our prediction is par(tck=1,lab=c(20,5,14),col="red")
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  • SysML Block Definition Diagram
  • Drools exercises solutions
  • JavaScript
    let { x, y, ...z } = { x: 1, y: 2, a: 3, b: 4 }; x; // 1
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  • Docker and Kubernetes
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  • SVN Polish Exercises
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  • Enterprise Architecture Analysis
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  • Drupal 6 for Developers
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  • OCEB2BI 04 Business Rules Approach and Shared Business-Wide Vocabulary
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  • Subversion for Administrators
    | Scalability: number of revision trees || Depends on OS/FS (fixed in SVN 1.5) || No problems == Svnserve authentication (1/4) ⌘==
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  • Introduction to R
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  • Nato Architecture Framework (NAF) - 3.3 - NATO Operational View
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  • MySQL Replikacja na systemie Windows
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  • Statistics
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  • XPath Primer
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  • Introduction to ANOVA
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  • Drools Hattingen
  • HTML5 for Beginners
    ...dline - (Nagłówek).''' Zaznaczamy tytuł rozdziału, podrozdzialu poziomu od 1 do 6. <dt>hasło 1</dt>
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  • Python Primer
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  • OMG Certifications
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  • NativeScript
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  • Release with Git - Patrick
    * ISO 31000: 2009 - Risk management. Risk management is 1 of the 10 knowledge areas of either ISO 21500 or PMBoK5 concept of project ...y of Knowledge 5th edition, Association for Project Management, 2006, ISBN 1-903494-13-3</ref>
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  • BPMN 2.0 Intro Analysts
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  • MongoDB For Admins
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  • Drools Wellesley
  • Drools Expert - mvel - LHS - advanced
    FORD 1 THATCHER 1
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  • Activities
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    | Found Text 1-9 | $1 (specifies the number of the grouping found, such as $3 for the third group
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  • OCUP2F 07 Sequence Diagram
  • JBPM 6 Filip
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    W bloku sekcji mozemy zauważyć że przeglądarki mimo że użyty jest nagłówek 1 '''h1''' to w podglądzie jest różnej wielkości zwracajac uwage na parag <h1>Level 1</h1>
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  • GIT - Patrick's slideshow
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  • Why Work with NobleProg - Jobs of the Future
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  • OCUP Use Case Diagram
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  • OCEB2BI 06 Process Quality and Governance Frameworks
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  • MEAN Stack Exercises
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  • Nato Architecture Framework (NAF) - 3.5 - NATO Systems View
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  • Enterprise Architecture Languages
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  • OCUP Interaction Diagrams
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  • GIT - Patrick2
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  • Git exercises
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  • Introduction to WebDriver part003
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  • INTRODUCTION TO R WITH EXERCISES
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  • OCUP2I 01 Basic Structure
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  • Git - Branching and Merging
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  • Apache Web Server Administration
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  • Bootstrap 3 vs 4
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  • Product Design with - Agile - Lean - Kanban
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  • Statistics for Decision Makers - 04.01 - Bivariate Data
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  • Nato Architecture Framework (NAF) - 1 - Introduction
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  • Regression Toward the Mean
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  • Introduction to Selenium (Java Track)
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  • JVM
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  • Database Topic Overview
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  • Svn exercises
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  • Angularjs
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  • Drools Expert - mvel - LHS - basic
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  • Drools Albuquerque
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    | 1 | 700 | 1200 | INSERT INTO salgrade VALUES (1,700,1200);
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  • MySQL Administration Database Maintance
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  • SQL Advanced in MS SQL
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  • Dubai Business Process Management Knowledge and Skills
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  • Scrum Product Owner
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  • Business Process Management
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  • BPMN with UML Virtual Training
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  • Apache JMeter Testing
    ::Step 1 - Click and save the Web Project WAR file that is zipped below <?xml version="1.0" encoding="ISO-8859-1" ?>
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  • Drools Regensburg G1
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  • MySQL Administration - Security and Privilege System
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  • MariaDB Administration - Part2 - Security and Privilege System
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  • Statistics for Decision Makers - 06.01 - Research Design - Scientific Method
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  • Typescript
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  • JBPM 6 - 0.0 - jBPM Overview
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  • LPIC-101
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  • CSS/JS/Bootstrap3 Development
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  • Train The Trainers
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  • REST API
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  • OCUP2F 06 Activity Diagram
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  • Redis for Administrators and Developers (PHP)
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  • BPMN 2.0 Questions 2
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  • Modelowanie procesow biznesowych z wykorzystaniem UML i BPMN
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  • NobleProg Worldwide Company Introduction
    * Usually from 1 day to 20 days
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  • Experimental Designs
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  • Redis for Administrators and Developers
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  • Flask
    * HTTP/1.1 is defined by [https://tools.ietf.org/html/rfc7230 RFC 7230] - [https://too GET /html/rfc7240 HTTP/1.1
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  • Advanced Typescript
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  • Hadoop Administration
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  • RDS Patrick Custom
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  • Adminstering Drupal 7 Website
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    <th colspan="8">1</th> <th style="width:2.6%;">1</th>
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  • Old OCEB2F 04 Business Motivation Modeling
  • OCEB2F 04 Business Motivation Modeling
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  • OCEB2F 02 Business Process Concepts and Fundamentals
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  • Angular Fundamentals
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  • Rabbitmq - messaging service that just works
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  • Test Automation with Selenium (Python Track)
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  • Test
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  • Administracja baza danych Microsoft SQL Server 5dni
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  • Drupal 8 for Developers
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  • Podstawy testowania
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  • NobleProg Worldwide Company Introduction - Spanish
    * Generalmente de 1 a 20 días
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  • NobleProg Worldwide Company Introduction - Portuguese
    * Geralmente de 1 a 20 dias
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  • Test Automation with Selenium (Java Track)
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