all Tutorials

11. Discrete Vs Continuous Random Variables in R

By: Karthik Janar : 2018-04-30

Description: Random in statistics does not mean ‘haphazard’ but it means a kind of order that emerges in the long run. For example we term unpredictable things that happen in our life as ‘random’. But we rarely see enough repetition of the same random phenomenon to observe a long term regulatrity that probability describes about ’random’ness.

12. File handling commands in R

By: Karthik Janar : 2018-04-30

Description: In this tutorial, you’ll learn how to examine your local workspace in R and begin to explore the relationship between your workspace and the file system of your machine. Because different operating systems have different conventions with regards to things like file paths, the outputs of these commands may vary across machines.

13. Generating Sequence numbers in R - seq(), rep() c() etc.

By: Karthik Janar : 2018-04-30

Description: In this tutorial, you’ll learn how to create sequences of numbers in R using functions such as seq(), rep(), c() etc. The simplest way to create a sequence of numbers in R is by using the : operator

14. Basic Building Blocks of R

By: Karthik Janar : 2018-04-13

Description: In this tutorial, we will explore some basic building blocks of the R programming language. To complete this tutorial, let us use R Studio to get our hands on experience. If you have not installed "R Studio" yet, download and install it. Open R Studio and just follow the instructions as below. In its simplest form, R can be used as an interactive calculator.

15. What are the different types of Analysis a Data Scientist would do?

By: Karthik Janar : 2018-04-12

Description: This tutorial discusses some basic concepts of Data Science. Data Scientist's Job always starts with a question that needs to be answered. There are few different kinds of questions a data scientist would ask which defines the goal of the analysis. It starts with descriptive, and then it goes to exploratory, inferential, predictive, causal, and mechanistic

16. Overview and History of R

By: Karthik Janar : 2018-04-12

Description: In the world of data science, two popular programming languages are used today. R and Python. For a good comparison of R and Python read this tutorial. Personally I prefer R over Python because of its rich set of freely available packages and its visualization capabilities. R is based on an older language named S. S was originally developed at Bell Labs by John Chambers in 1976 as an internal statistical analysis environment using fortran libraries. In 1988 it was rewritten in C.

17. Git and GitHub - a complete startup guide for a beginner

By: Karthik Janar : 2018-04-11

Description: For anyone who is serious about doing any work with computers needs to understand some basic concept of files and folders and some understanding of command line interface and commands. It is essential to have some hands on to use CLI. Furthermore if you are interested in doing programming or analytics then version control becomes very important. Git and GitHub provide very good toolset to create, maintain and manage your files and folders and their versions as well as share them with others.

18. SharePoint 2016 Search Vs Solr Search - A comparison

By: Ayyappan : 2018-02-15

Description: Before jumping to any conclusions, it is important to note that SharePoint is more a content management and collaboration solution than a Search solution. FAST Enterprise Search was acquired in 2008 by Microsoft and integrated to SharePoint to provide search capabilities for SharePoint rather than be used as a stand-alone search product.

19. How to get the API key for CloudStack

By: Binoy : 2018-02-14

Description: You can generate the CloudStack API Keys from the CloudStack admin portal.

20. Program using concept of byte long short and int in java

By: Java Samples : 2017-12-10

Description: This simple java program describes how to use the different data types byte, short, int and long in Java.