Your domain name should relate directly to your business and it should be a name that’s so easy for users to remember that they never forget it. If .com is already taken, try for .in or .net.
Your next step is to find a reliable web host to handle your site. Compare two or three host providers to get best web hosting plan. Some of good host providers in market are Hostinger, GoDaddy, etc.
Installing WordPress is incredibly easy and takes just minutes. Go to your host profile and install WordPress.
Thousands of themes are available, ranging from absolutely free to upwards of hundreds of dollars. When selecting your theme, try to ensure that it makes sense for both the topic of your site and the layout and content you plan to publish.
You may not start with many plugins, but the longer you use WordPress, the more you’ll find to benefit your site. Some of our favorite's include Jetpack and Yoast SEO. You can find the option of Plugins from your WordPress admin dashboard.
Your website is live !
Your content is your most valuable asset, so make sure you back up your site.
Unless you’ve lived under a rock, you probably heard of ChatGPT, Chat bot that seemingly gives answers to any problem you throw at it. ChatGPT is a new Artificial Intelligence (AI) tool designed to help you have more meaningful conversations, just like Google Assistance but in much better Understanding of communications between bot and Humans. ChatGPT is designed to help people have more meaningful conversations with each other. It can be used in a variety of different ways, including customer service, providing advice, and offering support. It can also be used to provide information, answer questions, and even provide entertainment. ChatGPT works by taking in user input and then creating an AI-generated response based on the context of the conversation.
It is a Natural Language Processing (NLP) system developed by the company, OpenAI. NLP involves analysing and understanding human language and responding to it. ChatGPT Makes History by gaining 100M Active User in 2 Months.
The most interesting part of ChatGPT is its ability to generate creative, engaging conversations. ChatGPT uses natural language processing and machine learning to simulate human conversations, allowing it to engage in meaningful dialogue with users. The conversations feel natural and often surprise users with their level of creativity and intelligence.
ChatGPT has been designed to be a powerful natural language processing (NLP) platform. It is designed to understand and respond to user input as if it were a human, using a combination of techniques such as natural language understanding (NLU), deep learning, and natural language generation (NLG).
ChatGPT is built using a combination of modern programming languages and technologies, including Python, TensorFlow, PyTorch, and OpenAI's GPT-3 language model.
ChatGPT was developed by OpenAI, a research laboratory devoted to creating artificial general intelligence (AGI). OpenAI believes that AGI will be the next great technological revolution, and they see ChatGPT as a steppingstone to that goal. ChatGPT is a text-based AI system that is capable of natural language conversations. As such, it can be used to create interactive and engaging virtual assistant applications, as well as providing a platform for researchers to explore the potential of natural language processing.
ChatGPT is currently free to use, you just need to register a ChatGPT account in the supported countries and regions to use it. Due to the large number of users, there may be delays or errors such as, ChatGPT error, ChatGPT network error, ChatGPT is at capacity right now. If you encounter these problems, it is recommended to switch to a new account.
ChatGPT is named after the Generative Pre-trained Transformer (GPT) model, a Natural Language Processing (NLP) system developed by OpenAI. GPT models are designed to generate human-like text responses based on the context of a conversation. The ChatGPT platform combines the GPT model with a user-friendly chatbot interface, allowing users to interact with the model in a conversational way.
We are all aware of search engine’s like google but most of the time, people are confused between search engines and web browsers. For example, they mislead between Google and Chrome. They think Google and Chrome both are search engines or web browsers. But it is not correct. Google is a search engine, while Chrome is a web browser.
For quick reference, Google, Yahoo, and Bing are popular search engines.
No, We Use SEO techniques to improve ranking of our website in such a way that whenever user try to search some product which are related to your website it will display your site SERP (Search Engine Results Page) at very first link if the SEO is Optimized.
A search Engine is a software system designed to search out the information from world wide wed according to the user’s query.
Suppose if I want information regarding some product price and we don’t have search engine then I would have to remember whole URL of website where the products exist also I would have to remember which website contains what information that sounds crazy isn’t it? But Thanks to SE we can just type keywords to search information.
Search Engine Optimization is Used to improve ranking of websites / Web app. By following SEO techniques your site gets ranked by WEB crawlers (Bots). The web crawlers are commonly referred to as the search engine spiders or bots.
To Complete any tasks there are two ways, One which is good practice and another which is considered to be bad practice. SEO also consists of 2 types of techniques, Good practice which is White Hat SEO and Bad Practices which is Black Hat SEO.
White Hat SEO
This is considered to be Ethical way of SEO also known as Organic SEO. White Hat SEO includes optimizing your website following the restrictions imposed by Search Engine. Following are few major concepts to consider under white hat SEO.
Black Hat SEO
Black Hat SEO includes Unethical techniques which are disapproved by search engine.
Note: Using Black Hat SEO technique may blacklist your website, and will not be visible on SERP (Search Engine Result Page)
On-Page SEO:
On-Page SEO refers to optimizing the parts of your website you control like Content, HTML, Title, URL etc. Optimization which is in our control is On-Page SEO. We use both techniques in On-page SEO white Hat & Black Hat.
Off-Page SEO:
Off-Page SEO focuses on the ranking that occur outside of your website like brand mentions and backlinks. We use both techniques in Off-page SEO white Hat & Black Hat.
SEO: Page structure optimization
Short Tail Keywords: Short Tail keywords is basically used for general query.
Long-Tail Keywords: Long Tail Keyword means more specific query.
Navigational Keywords: A keyword with fixed direction in query, Navigational keywords are used when user wants to find the specific brand, website or location.
Transactional Keywords: Transactional keywords are keywords that shows strong intent of user to buy or take action on a product or services.
Commercial Keyworks: Commercial keywords are keywords that shows user’s interest to search for specific products or services.
SEO-Social Media Optimization (SMO)
It deals with enhancing the website's ranking, using interactive communities like facebook, twitter, blogs, forums and so on. When these communities have links to the created website it builds familiarity and trust about the website.
SEO-Backlinks
Backlinks are links on one website that, when clicked, take the user to another site. Backlinks are especially valuable for SEO because they contribute to the overall strength and value of the content. They also represent a "vote of confidence" from one site to another. In short, backlinks to your website are a signal to search engines that others are interested to know about the contents form your website.
Speed of the website:
While creating a website, attention is given on the design, content and as many visuals as possible. However, all but this can slow down the website and obstruct usability.
Mobile friendly (Responsive):
Website’s mobile friendliness has become a ranking factor for Google. Hence, it is very important to ensure that the created website is mobile friendly 'for maximum' exposure and to improve the websites ranking also writing your code for mobile first approach helps in completing task faster than usual.
What is Dwell Time & Bounce Rate of Website?
Dwell Time is the actual length of time that a visitor spends on a page before returning to the SERP. Bounce rate is calculated when someone visits a single page on your website and does nothing on the page before leaving. Both are used to analyze our website quality content.
VPN “Virtual Private Network” is the most effective way for people to protect their internet traffic and keep their identities private online. As you connect your device to a secure VPN server, your internet traffic goes through an encrypted tunnel that nobody can see into, including governments, hackers and also your internet provider.
Let me put that in easy words, Many Internet Service Provider (ISP) reduces your bandwidth when they detect certain type of traffic like gaming, streaming, or file sharing and a VPN helps you encrypt your traffic which makes it harder For the ISP to figure out what you are doing on the Internet.
Yes, you read that right! One can still have access to sites or applications which are banned in country by using VPN (Virtual Private Network).
VPN grants you access of sites which are banned in your country, as VPN bluffs your IP address which makes it harder to identify your exact geolocation. It is also used to reduce ping while gaming.
So, to clarify:
“Is VPN banned in India?” – No
“Is VPN safe in India?” – also No.
“Can you still use VPN in India?” – thankfully, YES!Your ISP usually sets up your connection when you connect to the internet. It tracks you via an IP address. Your network traffic is routed through your ISP's servers, which can log and display everything you do online.
Your ISP may seem trustworthy, but it may share your browsing history with advertisers, the police or government, and/or other third parties. ISPs can also fall victim to attacks by cyber criminals: If they are hacked, your personal and private data can be compromised.
This is especially important if you regularly connect to public Wi-Fi networks. You never know who might be monitoring your internet traffic and what they might steal from you, including passwords, personal data, payment information, or even your entire identity.
Express VPN: On June 2, 2022, ExpressVPN announced it was removing its physical severs from India. Instead, users can access an Indian IP address with ExpressVPN via a virtual server, which will have a physical base in Singapore or the United Kingdom.
Nord VPN: NordVPN removed its servers from India on June 26, 2022, due to the new Indian laws.
Before we try to understand Agile Methodology Let me tell you it is the part of SDLC process. Every Computer Science or Information Technology student has gone through this topic in bachelor’s year. SDLC stands for Software Development Lifecycle. We can clearly understand by its acronym that this is the process of developing software’s. As we already know what Software is: Software is a set of instructions, data or programs used to operate computers and execute specific tasks. It is the opposite of hardware, which describes the physical aspects of a computer. Software is a generic term used to refer to applications, scripts and programs that run on a device.
Let’s learn more about SDLC.
SDLC is a process followed for a software project, within a software organization. It consists of a detailed plan describing how to develop, maintain, replace, and alter or enhance specific software. The life cycle defines a methodology for improving the quality of software and the overall development process. The image describes few steps required to build a software.
Planning / Requirement analysis is the most important stage in SDLC. It is performed by the senior members of the team with inputs from the customer. This information is then used to plan the basic project approach.
Collect facts: Obtain end-user requirements by document review, client interviews, observation, and questionnaires.
Once the requirement analysis is done, the next stage is to certainly represent and document the software requirements and get them accepted from the project stakeholders.
This is accomplished through "SRS"- Software Requirement Specification document which contains all the product requirements to be constructed and developed during the project life cycle.
In this stage, all the requirements for the target software are specified. These requirements get approval from the customers. This is fulfilled by utilizing SRS (Software Requirement Specification). This is a sort of document that specifies all those things that need to be defined and created during the entire project cycle.
The next phase is about to bring down all the knowledge of requirements, analysis, and Create design of the software project according to inputs from the customer.
In this phase of SDLC, the actual development and implementation of design begins.
After the code is generated, it is tested against the requirements to make sure that the products are solving the needs addressed and gathered during the requirements stage.
Once the software is certified, and no bugs or errors are stated, then it is deployed.
Once when the client starts using the developed systems, then the real issues come up and requirements to be solved from time to time.
This procedure where the care is taken for the developed product is known as maintenance.
Now, we will be focusing on Agile Model –
Agile (Meaning) -
Ability to move quickly and easily.
In this method, part of project is delivered quickly as per requirements to take feedback of end user and as per users feedback each part is delivered or updated which gives user satisfaction for the projects end result. In this, Clients have visibility of each phase of the project. Since project is broken down into smaller parts (Known as Sprints) High quality development , testing and collaboration is ensured.
Agile methodology is a project management framework that breaks projects down into several dynamic phases, commonly known as sprints. In Agile Methodology the highest priority is to satisfy the customer through early and continues delivery of valuable software.
Doing Half of Something is essential doing nothing
Just for better understanding As Working software is the primary measure of progress.:
https://youtu.be/DLTnujTdwB0
Datafication is a technical movement in which various parts of our lives are converted into data. Data may be collected at virtually every point of interaction between technology and our daily lives. You may, for example, save numbers, text, photographs, routes, audio and mobile data, and IP addresses, as well as clicks, scrolling, interaction times, logins and passwords, acquisition pathways, and device activity logs.
It is simply the transformation of everything in our lives into data-powered devices or software. In other words, datafication is the transformation of human chores and tasks into data-driven technology, ranging from our smart phones, industrial machines, and office applications to AI-powered appliances and everything else. Data is here to stay for far longer than we can recall! As a result, keeping our data stored correctly, safely, and securely has become a high-demand expertise in our economy.
We are in extraordinary times. Computers and fast Internet connection transformed how we live today as the industrial age came to an end. Practically everyone creates data on a computer that is connected to the Internet. Also, the number of data-generating gadgets is always increasing.
Despite the fact that the government also benefits in some areas from ongoing surveillance, corporations are the biggest benefactors in this situation. Always consider if datafication may be made even more considerate of specific consumers, assuming that the data itself isn't the issue. Who should oversee dataset access, and how do we detect violations? How can the "right to be forgotten" be applied to numerous systems that gather our personal information in the dark? Since our data cannot be destroyed, should we store it online?
Recent News:
Nowadays, all the technology that we use in our daily lifestyle stores some type of data but, Do you know Smart Speakers such as Alexa stores your conversation without you even realising and it might have stored your data even before you turn it on.
Below is one of the article which states Alexa listening to private conversation even before it was turned on. What is the truth behind Smart Speakers?
https://www.theguardian.com/technology/2018/may/24/amazon-alexa-recorded-conversation
Artificial intelligence (AI) is an area of computer science that draw attention on creation of intelligent machines which work and react like humans. AI is different from robotics, but related to some extent, in which machines sense their environment, platform calculations and do physical tasks either by themselves or under the direction of people.
Chess-playing computers and self-driving automobiles are two other instances of AI devices. Each of these machines must consider the effects of every choice they make even though every action will have an impact on the final result. The objective of the game in chess is to win. All environmental data must be considered and analysed by the computer system for self-driving vehicles to operate in a way that avoids accidents.
Strong artificial intelligence systems are those that do tasks that are thought to be human-like. These systems are normally more complicated and difficult. When required, they can solve issues on their own because that is how they were intended to work. These sorts of technology are used in applications like driverless cars and operating rooms in hospitals.
Machine learning automates analytical model building, to find hidden insights in data without being programmed to look for something in particular or draw a certain conclusion.
Neural networks Imitate The brain’s array of interconnected neurons, and relay information between various units to find connections and derived meaning from data.
Deep learning utilizes really big neural networks and a lot of computing power to find complex patterns in data, such as image and speech recognition.
Cognitive computing is about creating a “Natural Human like interaction.”, including using the ability to interrupt speech and respond to it.
Computer vision employs pattern recognition and deep learning to understand the content of pictures and videos, and to Enable machine to use real time images to make sense of what’s around them.
Natural language processing involves analyzing and understanding human language and responding to it.
Reduction in human error: Computer's if programmed properly with artificial intelligence gives 100% accuracy as compared to task performed by human as there is always a chance for human mistakes.
Digital assistance: Some of the highly advantaged organization used digital assistance to interact with users, which saves the need for human resources. Example. Chat bot.
Faster decisions: Using AI alongside other technologies. Make machines make decision faster than a human and carry out actions quicker.
Daily applications: Daily application such as Apple’s Siri, Window’s Cortana, Google’s OK google are frequently used in our daily routine, whether it is for searching a location, taking a selfie, making a phone call, replying to email and many more.
High Cost of creation - As the machines used in AI based environment are very complex and high in price. It increases, the cost of overall setup.
Unemployment: As AI is replacing the majority of repetitive tasks and other works with robots. This will reduce human interference but cause a major problem. In the employment standards.
Credit - Juveria Dalvi
What is Machine Learning?
What is meant when we talk about “machine learning”? Let's go over a few ML basic concepts. Artificial intelligence plays a part in machine learning, and it enables systems to learn from huge amounts of data and solve specific problems. This makes use of computer algorithms that evolve into stronger by the time. Machine Learning is the process of programming computers to improve a series of tasks, Using sample data or prior knowledge.
Supervised learning, Unsupervised learning, and Reinforcement learning:
Let’s talk about what all this types are and how they are being used in our daily lifestyle -
1: Supervised Learning:
In supervised learning, the trainer provides the system with the answer to the question together with the data used for training, allowing the machine to learn the concept and think the right output in the future.
However, does that appear that we must address every query that will be brought up? The answer is ‘No’. When we teach a machine how to recognize certain terms, it records the instructions we provide and uses them to react in the future.
We may take the alarm clock in our everyday lives as an example. When we scheduled an alarm for a particular time and day, the alarm clock remembers our input and will provide output in the future according to those settings (for example, an alarm set for each Wednesday).
Let's use the Gmail app as another example. We occasionally mark some emails as important or spam, and that marking helps the app predict future emails.
In above image example data is labelled which makes it easy for machine to predict accurate outputs.
Supervised learning consists of Classification and Regression:
The purpose of classification algorithms is to classify or predict distinct values. such as truthful or false, male, or female, spam or not spam, etc.
For predicting constant figures like price, age, income, etc., regression algorithms are applied.
2. Unsupervised Learning:
In unsupervised learning, a machine is given an input and is then used to predict the output using data that is supplied but is not labelled. If the data does not share any similarities, this could lead to inappropriate outputs. Unsupervised learning is a subcategory of machine learning in which examples are taught using datasets that are unlabelled and are free to act on the data without being checked by a human observer.
Unsupervised learning helps in identifying of interesting facts in the data. Unsupervised machine learning development is much like how a human learns to reason through their own experiences, which brings it closer to actual artificial intelligence. Unsupervised learning is ever more important because it uses unlabeled and uncategorized data.
In real-world, we do not always have input data with the corresponding output so to solve such cases, we need unsupervised learning.
It is the machine learning task to find patterns and structures in unlabelled data set.
When humans engage captcha, they use matching patterns, which are fairly similar to those used by AI in unsupervised learning.
3. Reinforcement Learning:
In simplest terms, we can say that the state of the current input determines the output, and the result of the previous input determines the state of the current input. Because decisions in reinforcement learning are dependent, we name the sequences of these decisions.
Example: Chess game
Reinforcement learning includes feedback to better future decisions; it learns from existing failures by applying feedback.
Comment below with your real-world examples of all three forms of machine learning.
Credit - Juveria Dalvi
While there wasn't as much technology to study in the 1990s, there are now a heck of a lot of new ones that are in use. One of which is Extended Reality (XR), which is something that we will briefly examine in our blogpost.
So, according to Wikipedia: A general term for mixed reality, virtual reality, and augmented reality, is extended reality. In certain cases, all of them are referred to by the initials "XR". The goal of the technology is to interact between a "software world" and the real world by combining or replicating them.
example of augmented reality are changing background while virtual meeting or snapchat filter or Pokémon Go game which creates an illusion of being there, but they are not in reality.
example of virtual reality are VR games with headset.
What’s the difference?Credit - Juveria Dalvi
Let’s talk about creating database connection in DBeaver -
Step 1 – Install Dbeaver and Run/Open
Step 2 - Select new connection type, in your case, MS SQL Server -> Microsoft Driver -> Next.
Step 3 - When I did my config, the JDBC URL, Port, and Host were already filled out. So, what you'll be just doing here is to enter your User name and Password for SQL Server. Then, click Test Connection. You'll be prompted to download the drivers, do it
Step 4 - I did not do anything here. Just click NextStep 5 - I just clicked Finish here.
Step 6 - You're done, you should see the DBeaver - General Window. You can now access your SQL Server.