Data Structure
Networking
RDBMS
Operating System
Java
MS Excel
iOS
HTML
CSS
Android
Python
C Programming
C++
C#
MongoDB
MySQL
Javascript
PHP
The traditional techniques of turning data into knowledge depend on manual analysis and interpretation. For instance, in the healthcare industry, it is familiar for specialists to systematically analyze current trends and changes in healthcare data, every quarter.The specialists support a report detailing the analysis to the sponsoring healthcare organization; this report becomes the basis for future decision making and planning for healthcare management. There are several types of applications, including planetary geologists sifting through remotely sensed images of planets and asteroids, carefully situating and cataloging such geologic objects of interest as impact craters.This form of manual probing of a data ... Read More
Data Warehousing is a technique that is generally used to collect and manage data from multiple sources to provide the business a meaningful business insight. A data warehouse is specifically created for the goals of support management decisions.In simple terms, a data warehouse defines a database that is maintained independently from an organization’s operational databases. Data warehouse systems enable the integration of several application systems. They provide data processing by supporting a solid platform of consolidated, historical data for analysis.There are various types of data warehouse users which are as follows −Statisticians − There are generally only a handful of ... Read More
Data Warehouse DatabaseData Warehousing is a technique that is generally used to collect and manage data from multiple sources to provide the business a meaningful business insight. A data warehouse is specifically created for the goals of support management decisions.In simple terms, a data warehouse defines a database that is maintained independently from an organization’s operational databases. Data warehouse systems enable the integration of several application systems. They provide data processing by supporting a solid platform of consolidated, historical data for analysis.A data warehouse provides an OLTP system by supporting a place for the OLTP database to offload data as ... Read More
A data warehouse defines a database that is maintained independently from an organization’s operational databases. Data warehouse systems enable the integration of several application systems. They support data processing by supporting a solid platform of consolidated, historical records for analysis.A data warehouse can be viewed as a set of materialized views represented over remote base relations. When a query is formal, it is computed locally, using the materialized views, without accessing the initial data sources.The data warehouse is an active entity that derives continuously over time. As time passes, new queries are required to be answered by them. Various queries ... Read More
The dns.resolve4() method uses the DNS protocol to resolve a IPv4 address for the hostname. The arguments passed to the callback function can contain an array of multiple addresses.Syntaxdns.resolve4(hostname, [options], callback)Parametershostname - This parameter takes input for the hostname to be resolved.options - It can have the following optionsttl - It defines the Time-To-Live (TTL) for each record. Callback receives an array of addresses like this{ address: '1.2.3.4', ttl:60 }callback - It will catch errors, if any.Example 1Create a file with the name "resolve4.js" and copy the following code snippet. After creating the file, use the command "node resolve4.js" to ... Read More
Before implementing k-means algorithms, it is always beneficial to rescale each feature dimension of the observation set. The function scipy.cluster.vq.whiten(obs, check_finite = True)is used for this purpose. To give it unit variance, it divides each feature dimension of the observation by its standard deviation (SD).ParametersBelow are given the parameters of the function scipy.cluster.vq.whiten(obs, check_finite = True) −obs− ndarrayIt is an array, to be rescaled, where each row is an observation, and the columns are the features seen during each observation. The example is given below −obs = [[ 1., 1., 1.], [ 2., 2., 2.], ... Read More
If you are unsure of how to use a particular function or variable in NumPy and SciPy, you can call for the documentation with the help of ‘?’. In Jupyter notebook and IPython shell we can call up the documentation as follows −ExampleIf you want to know NumPy sin () function, you can use the below code −import numpy as np np.sin?OutputWe will get the details about sin() function something like as follows −We can also view the source with the help of double question mark (??) as follows −import numpy as np np.sin??Similarly, if you want to see the ... Read More
Clustering is one among the most useful unsupervised ML methods. It is used to find the relationship patterns and similarity among the input data samples. After finding these patterns, unsupervised algorithm clusters the data samples having similarities into groups as illustrated in the diagram below −Anomaly detection, image segmentation, medical imaging, social network analysis, and market segmentation are some common applications for clustering. K-means and Hierarchical are the two most common forms of clustering.To implement clustering, SciPy provides us a clustering package (scipy.cluster) which further has two modules as given below −scipy.cluster.vq module − This SciPy module provides functions for k-means ... Read More
When SciPy is imported, you do not need to explicitly import the NumPy functions because by default all the NumPy functions are available through SciPy namespace. But as SciPy is built upon the NumPy arrays, we must need to know the basics of NumPy.As most parts of linear algebra deals with vectors and matrices only, let us understand the basic functionalities of NumPy vectors and matrices.Creating NumPy vectors by converting Python array-like objectsLet us understand this with the help of following example−Exampleimport numpy as np list_objects = [10, 20, 30, 40, 50, 60, 70, 80, 90] array_new = np.array(list_objects) print ... Read More
Internet Control Message Protocol (ICMP) works in the network layer of the OSI model and the internet layer of the TCP/IP model. It is used to send control messages to network devices and hosts. Routers and other network devices monitor the operation of the network. When an error occurs, these devices send a message using ICMP. Messages that can be sent include "destination unreachable", "time exceeded", and "echo requests".ICMP is a network layer protocol.ICMP messages are not passed directly to the data link layer. The message is first encapsulated inside the IP datagram before going to the lower layer.Types of ... Read More