Posts

Database and DBMS

A quick review about importance of data in today's technology world. Data not just mean a four letter word it's equivalent to worth of million and billions of dollars of decision.    So data need's to be properly stored and analysised. The place where data is stored is know as database it's basically a container of data.  For example: A library is a database and books in it is a precious data. Now like library have a Assistant to manage, arrange and to access Books in library in same way here we have Database Management System (DBMS). Which act as a interface between user and database in same way as assistant does.  As we know there are different types of data exist likewise: your personal data, School data, University data, library data, Organization data, and many others. So there different types of database or DBMS too. Different type of database: In layman terms: 1) personal database. 2) University database all that we mentioned above. In technically we have: 1) Cen

What is Data?

Image
  Data not just mean a four letter word now-a-days it's equivalent to million and billions of dollars.  Yeah, you heard it right...!  Data have become such a crucial thing. It's indespenseable to analysis and managed your data properly which will give you a good information out of it and that one right decision via information can be a million and billion dollars.      In today's data market every purchase you make online, every website you click on using a browser and each move you make that trigger your location can be sold by a company some 2.5 quintillion bytes of data are created every day, a massive amount. Most of the data are harvested, stored and owned by large companies. When Facebook, Instagram and Twitter sell this data to advertising companies they get good sum of money out of it.    Increasing amount of data in the rapidly expanding technological world of today makes the analysis of it much more exciting. The insights gathered from user data is now a major to

C++ VS Python

Image
  C++ and python are two different language with different feature and different behavior. Both of these language have one thing in common i.e strong support to object oriented programming. Key difference between C++ and Python 1) Compilation :  C++ is compiled language, whereas python is interpreted language. As far as speed is concerned C++ run faster then python.               Python.                                C++ 2) Simplicity : Python with it's simplicity and ease to use feature allow us write concise, easily readable code, etc. This is very useful when we develop complex application like machine learning. Thus Python scores on this parameter especially when we need to choose between C++ and Python for developing Machine learning application.                  Python.                        C++ 3) Syntax : In C++ there is demarcation of the code by using block enclosed in {}, semicolon indicating end of statement. Thus in C++ statement are well organized. Whereas in Pyt

History of fingerprint technique(Statiscial method)

Image
  The ancient Babylonians pressed the tips of their fingertips into clay to record business transactions. The Chinese used ink-on-paper finger impressions for business and to help identify their children. A few years later, Scottish doctor Henry Faulds was working in Japan when he discovered fingerprints left by artists on ancient pieces of clay. This finding inspired him to begin investigating fingerprints. In 1880, Faulds wrote to his cousin, the famed naturalist Charles Darwin, and asked for help with developing a fingerprint classification system. Darwin declined, but forwarded the letter to his cousin, Sir Francis Galton. Francis Galton has done much of fundamental work in statistics. He used to prepare questionnaire, distribute them among people's and request them to fill them up. He use to collect information like: there likes, disklikes, health etc. But that time, it was known that fingerprints of people are different

Difference between Array, Matrix, vector, list,and Data Frame.

 We have previously discussed about all the object of R language but, they are pretty confusing all at one time. So, let's discuss about there important difference. So, let's start 1) Vector and List are same but only difference is there data.  -Let take a example if you want to store data of same data type then we use vector with function c(). - Where as to store different types of data we use List with function list() 2) Array and Matrix are also more over same but the important difference is that with array we print a data in rows and columns with dim attribute but only we can only print it one time.  -But with Matrix function we can print the same data any number of times. 3) Last but not the least as we say it, is Data Frame in this data are printed in frame for instance in database.             Rollno. Name percentage 1 1 Daniel 89 2 2 Tina 89 3 3 Ross 90 4 4 Joey

List and Array in R language

 In this post we will see various method of list and Array. In previous post we Saw about vector and matrix, I hope this will be also easy for you. Let's start. List: We can say list and vector are pretty much similar but the only difference and the important one is that vector consist of same data element where as list consist of different types of data element.  To create a list we use a function called list() Here list take input from vector only but of different type at same time. So, make it clear let's see the example: Name<- c("Adam","Steve","Tom","Robert") Rollno <-  c (1,2,3,4) Mylist<- list(Name, Rollno) print (Mylist) Output:                [1]  "Adam" "Steve" "Tom" "Robert"                [1] 1 2 3 4  So, Over here we tooked different type of data element in list via vector only,  but this functionality is not allowed in vector. Array: Array is collection of data which can be pr

Vector and matrix in R language

 Hello everyone, In the last post We all saw about R language basic concept which was pretty easy right, so today we are going to start with vectors and matrix in R language. So let's start. Vector: vector consist of Data element in of same data type. The data element of a vector are called component.  To create a vector we use a function i.e. c(). Example: 1) a <- c(1,2,3,4,5,6,7)                    Print (a) Output: 1,2,3,4,5,6,7. 2) a<-c(1:10)     print (a) Here colon is used as a range from 1 to 10 Output: 1,2,3,4,5,6,7,8,9,10. To find a length of vector we use a function length (). length (a)    # output will be 10 for second example. To print a particular element in vector we use a square bracket ([]) i.e. a[5]   # This will print the fifth Element of vector. Matrix: Matrix is a collection of data element which are arrange in 2dimensional rectangular layout.   To create a Matrix we use a function matrix().  Syntax: matrix(data, nrow,ncol) - Where data is the input in v