A cover letter is a single page document sent with your resume to provide additional information on your skills and experience. This letter provides detailed information on why you are qualified for the position you are applying for. Here the following, some are sample cover letters: SAMPLE COVER LETTER FOR POST- DOCTORATE FELLOWSHIP Sunny Sharma Jammu, India | (+91) 9682655258 | sunny202658@gmail.com   January 18, 2020 DA-IICT, GANDHINAGAR, GUJARAT-382007 Respected Sir/ Mam, I am writing for the postdoctoral position and would like to continue my research career in your reputed research laboratory. Presently, I am working as a Lecturer pursuing both academic and research work in Department of Computer Science & IT, Kathua Campus, University of Jammu (J&K), India. I have been pursuing my Ph.D. degree (Thesis Submitted) under the supervision of Dr. Vivek Kumar (Professor), Department of Computer Applications, Arni University, Himachal Pradesh, India. My area of rese

 Explaining Cloud Computing. The definition which is provided by NIST states: “Cloud Computing is a model for enabling ubiquitous, convenient, on-demand network access to a shared pool of configurable computing resources (e.g., networks, servers, storage, applications, and services) that can be rapidly provisioned and released with minimal management effort or service provider interaction.” Technological Issues - This domain targets various issues based on the cloud computing technology. Researches in this area are focused on inherent components and mechanisms driving it. It involves: Scalability in Cloud Computing:  A network which is scalable forms a cloud. An application which is cloud based is known as cloud application. Mostly, developed Softwares are based on distributed architectures such as P2P, service orientation etc. With computer hardware and networking development, these architectures have also grown especially the computing which is service based. This service oriented

I know everyone who is reading this post wants to become a hacker. Here in this post, you will be able to download a python script for hacking any Instagram account. I have also searched the whole web for 'how to hack Instagram account' and I hardly got any article or video very useful. But I got some ideas which help me to create a script to hack Instagram accounts. However, you can use this python script for hacking password for any website. Let me clear you, it is not so easy to guess passwords instantly. It may take a time period from one minute to years. It all depends upon how easy the password the user has set up.  For instance, the passwords like aaaaaa, qwerty, zxcvbnm, or the password contains only characters are very easy to guess.  In this post, we are using web automation . Using automation, we can login to any website automatically using username and password in the python script. Here in the following script, the username needs to write in the code and password i

Structure of a PhD Thesis Thesis, also known as dissertation includes the following contents. The thesis may include the pages ranging from 120 to 250. The range may also vary from one subject to another. The PhD Thesis starts from front page followed by certificate by Supervisor, Declaration by Student and so on. The whole structure is presented below: Front Page Certificate by Supervisor Declaration by Student Plagiarism Certificate Dedication Acknowledgement Content List of Table List of Figures Publication Abbreviations Abstract Introduction Review of Literature Material and Methods Results Discussion Summary References List of Conferences, Publications, Workshops, Awards First page of each Publication, Conference certificate General format and layout Paper format: Use the standard A4 format Size & line spacing: The text should be in 12 point character and 1.5 spaced lines. The text should be justified. Font: Choose a commonly used fon

I have also searched everywhere on the internet how to hack website for example, hacking the Instagram passwords, Facebook passwords etc. But I never found any article or video beneficial. After searching thoroughly for more than three days, I made a very effective Script in Python for password stealing, and it is effective. Here below, I am explaining the code. Steps by steps illustration of code implementation: Open an IDE (Code Editor): There are many IDEs for Python Code like Idle, Pycharm, Visual Studio Code and many others. Paste the following given code. Run the code. It will ask you to enter a password. In response, it processes the input and print the password inputted by the user. The password can be of any length. Ex; If you enter the password with three characters, it will guess it instantly. And If you input the password of six characters, it will take some take to guess. I will show you in the pictures below.  Next, you can use this python script for hacking the pas

  You can send a message to your friend through the code. Even the message can be sent later. Steps to send WhatsApp message automatically: Install library Write the two line code. Execute the code.   Installing the Library: Write pip install pywhatkit in the command terminal Python Code: import pywhatkit pywhatkit.sendwhatmsg('9797######' 'Happy birthday', 8,08) Run the code  

  Natural Language Processing (or NLP) is an applying Machine Learning models to text and language. Teaching machines to understand what is said in the spoken and written word is the focus of Natural Language Processing. Whenever you dictate something into your iPhone / Android device that is then converted to text, that’s an NLP algorithm in action. You can also use NLP on a text review to predict if the review is a good one or a bad one. You can use NLP on an article to predict some categories of the articles you are trying to segment. Likewise, you can use NLP on a book to predict the genre of the book. And it can go further, you can use NLP to build a machine translator or a speech recognition system. Speaking of classification algorithms, most NLP algorithms are classification models, and they include Logistic Regression , Naive Bayes , CART which is a model based on decision trees, Maximum Entropy again related to Decision Trees, Hidden Markov Models which are models based

Web Personalization is a process of personalizing content of a website according to the need of a user. Most of the websites nowadays personalize their contents according to the needs of users. For instance, we must have realized popular platforms like YouTube, Netflix presents different contents for the different users. If a user is interested in sports type videos, he will be presented videos related to the sports. In this post, we talk all about the personalization with special reference to research. The following contents are covered: Introduction Generations of the Web Web Mining Web Mining Taxonomy Web Personalization Research Gap   Introduction to Web Personalization With the large amount of information available on the web, it is more complicated to extract desirable information from the web. At that instance semantic web and personalization techniques play an important role to mine valuable information. Web Personalization implies the delivery of dynami

What is Logistic Regression? Lo gistic regression  models the probabilities for classification problems with two possible outcomes. Here in this tutorial, we are performing prediction using Logistic Regression. The dataset contains three columns: Age, EstimatedSalary and Purchased. We will train our model using this dataset and consequently make the prediction. The model will take the input as age and estimatedsalary of the person and predict if the person is interested to purchase. 1 means yes and 0 for no. Step 1: Importing the libraries import numpy as np import matplotlib.pyplot as plt import pandas as pd Step 2: Importing the dataset dataset = pd.read_csv('Social_Network_Ads.csv') X = dataset.iloc[:, :-1].values y = dataset.iloc[:, -1].values dataset.head() # The dataset contains 300 columns. Here we are printing only first five. Step 3: Splitting the dataset into the Training set and Test set from sklearn.model_selection import train_test_s