Applications And Drawbacks Of Unsupervised Learning

Applications And Drawbacks Of Unsupervised Learning

Unsupervised Learning is a type of machine learning in which you do not have to supervise your model. A model itself will discover all information using unlabeled data. In this technique you allow a model to work on its own. Its algorithms are more complex than supervised learning.  

Practical Example of Unsupervised Machine Learning:

Let’s take an example of a baby and a dog. A baby is used to see a photo of dogs in various books. A few weeks later her family brings a dog in house. Baby has never seen a dog before but she can identify likewise four legs two big eyes. Thus she will use all the information and she will recognize new animal as a dog.

Applications of Unsupervised Learning

• Cluster Analysis: Clustering automatically split whole data sheet into different segments according to their similarities. Unsupervised Learning provides you some features which will help you to categorize your data. One major drawback for clustering is it will treat all the data in a group sometimes it doesn’t treat data as individual.

• Unusual Data Detection: It will automatically find unusual data from your data-set. It will definitely helpful to find out if there is any fraud or not. If there is any manual mistake has done during data entry it is also going to pinpoint that. And also it can find a faulty peace or hardware in a automate process.

• Association: It identifies data set which mostly occurs together in your spread sheets. It will analyze your data and find out which things are mostly purchased together and according to that it will show the results. This will increase your productivity and accuracy.

• It will find all unknown pattern in data. Your computer having more unlabeled data than labeled data so unsupervised learning will help you to categorize them.

• Latent Variable models: These models are used for data processing for reducing the number of features in data-set or decomposing your data-set in variable components.

Drawback of Unsupervised Learning

• You cannot get precise information about sorted data-sets as a output of Unsupervised Learning is labeled and not known.

• Accuracy of output is very less because data used by Unsupervised Learning is unlabeled so system needs to do it by itself. It results reduction in output accuracy.

• Spectral class does not always in line with informational class. Spectral Properties of class can change over with the time so you don’t have always same class information as you are moving to one image to another.

Introduction of Selenium & Why Selenium Is Popular In Automation Testing?

Introduction of selenium & why  selenium is POPULAR IN AUTOMATION Testing?

Selenium ispopular and widely used open source Web UI automation testing.

 In window, Linux, Solaris and Macintosh where selenium can be deployed easily, however for mobile application like iOS and android it support.

Selenium was developed by Jason Huggins in 2004 and it was supports automation in different browser, platforms and languages.

Different Programming languages are supported by specific drivers and support languages like C#, Java, Perl, PHP, Python and Rubi.

Selenium is used as automate function tests and to achieve continuous testing it integrated with automation tools like Maven, Jenkins and Docker. 

  For managing test cases and producing report it can integrate with tools like TestNG and Junit.

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What are the features of selenium?

It is open source and portable Web testing Framework.

Without test scripting language selenium IDE provides a playback and record feature for testing.

Selenium interface are easy to understand and easy to use, it is also considered as the leading cloud based testing platform where it can record and export the reusable script.

It supports various operating system, browser and programming languages:

           1.  Programming languages: C#, Java, Python, PHP, Ruby, Perl and JavaScript.

          2.  Operating System: Android, IOS, Windows, Linux, Mac, Solaris.

         3.  Browsers: Google Chrome, Mozilla Firefox, Internet Explorer, Edges, Opera, Safari etc.

                                                                                                                                                                                                                                                               

What are the selenium tools?

Selenium contains not just a single tool but there is group of tools with a different approach to support automation testing.

Selenium comprises of four components which include:

                          1.  Selenium Integrated Development Environment (IDE).

2.  Web Driver.

3.  Selenium Grid.

4.  Selenium Remote Control.

for further information visit site Trishana technology.

Digital Marketing: We shall help you increasing the reach and visibility of your products or services.

Digital Marketing

We shall help you increasing the reach and visibility of your products or services.

It is a way of marketing in which we are using digital technologies available on internet for selling or servicing your products. There are so many types of advertising available on the internet like mobile phone app, display ads, social media ads, video ads etc.  It’s for free as well paid ads are also available. It depends on the platform that you are going to choose for advertising your product or service.

Here we share some easy way to make a quick start to a digital marketing for your products or services. There are various steps to follow for practicing a good digital marketing for that various tools already available on the internet.

# Keyword Research : In this process we have to identify and define valuable words for our company or organization that people or customers are used to find your business online. There are so may tools available for keyword research, details of best popular tools are given below:

•       Google Keyword Planner
•       Ahrefs Keywords Explorer
•       Google Search Console
•       Keyword Tool.io
•       Keywords Everywhere

# Content Marketing: After keyword research you are already having a list of keywords so all you need to do is create a page on a website that target all the important keywords. It will increase ranking of your website. Content Marketing is all about to create a good stuff, Publish it on your website and share it to targeted audience. There are various form of content marketing and so many platforms are available to create, publish and share your stuff to the targeted audience only. Some of the most popular form of a Digital Marketing are as mentioned below:

•       Blogging
•       Articles
•       Infographics
•       Video
•       Podcasting

# Search Engine Optimization:  There are some protocols and guidelines of the search engines which will decide your ranking. It can be differed for each search engine. So in this we will follow all the protocols and guidelines of the search engines to improve website rank organically. There are Mainly three ranking factors for SEO which are given below:

•       Technical SEO
•       Local SEO
•       Maintenance

# Social Media Marketing: In Social Media Marketing you are going to promote your business on social media networks. For this you have to create a page, fill all the required details and start posing your contents linked with your website. This thing will help you to drive more traffic or customers to your website. It will give you a leads which are interested in your products or services so it may convert to the potential customer. The most used social media networks are as follows:

•       Facebook
•       Twitter
•       Instagram
•       Pinterest
•       LinkedIn
•       SnapChat

Why Python Is a Trending Programming Language IN 2020?

·         In 2016, in some colleges and universities python is being taught as a subject.

·         Still, it is necessary to learn python? Actually, I am a proud c++ programmer, it's my preferable language but I am always excited to learn new tools and new programming language which I will good programmer and python is necessary.

·         People who are started to learn programming language for them python is preferable because it is easy to understand and powerful to build.

Today Python can be used on multiple platforms. Here are some reasons why we should learn python in 2020:-

      1. For web development:

In web development, python which provide many libraries and framework which is Django and Flask it is easy to develop.

      2. For web development:

Python can also be used for the development of software applications.

      2.Machine learning:

In machine learning, python which provide more content using which you can able to develop your own algorithm.

       3.Data Science:

Python provides libraries and framework which are Pandas, NumPy, PyMySQL on AI and PyBrain are the reason.

Python is diversity, which allows to create script, web development and more.

        4.Simplicity:

When you install python you just have to add PATH and you can able to run a program from anywhere and it does not have long syntax and rule.

        5.Libraries and Frameworks:

To create a web application, python and java provide the sheer number framework, open-source libraries, and modules are easy.

Python has a collection of libraries which are TensorFlow, Scikit-Learn, Keras, Pandas and more.

          6.Automation:

In Automation, python provide some modules using that you can able write intercept UDP messages which take only 5min and you able to write scripts, tools and automating stuff.

           7.Jobs and Growth:

If you are starting your career then python is growing fast, and it will help you to get a job quickly and your career grows fast.

           8.Salary:

The highest-paid programmer are python developer, which specific to data science, machine learning, and web development.