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Scrum Methodology Scrum is a methodology for Agile development. Normally we used it for product development where a development team works as a unit to reach a common goal. Also, it is applicable to software development projects. It is a lightweight, iterative and incremental methodology.  There are main roles in Scrum methodology . They are the product Owner, Scrum Master and Scrum Team. Also, they used Product Backlog, Sprint Backlog and Burndown chart as their artifacts in product development. The product owner lists down all the changes planned in the product development and prioritizes them. The result of this process is called a Product Backlog which is high level, descriptive prioritized list. Scrum Team consists of 5-9 project members who are problem solvers and designers. They are responsible for delivering the product. Also, they are cross-functional and self-led. There is no specific job role to a scrum team member. Everyone in the Scrum Team should

Search Engine Optimization what is Search Engine Optimization? Search Engine Optimization is the process of maximizing the number of visitors to a particular website by ensuring that the site appears high on the list of results returned by a search engine. SEO may target different kinds of search, including image search, video search, academic search, news search, and industry-specific vertical search engines. Benefits of Search Engine Optimization. Increase Traffic to the website  Increase Cost-Effectiveness. Increase Site Usability. Improve brand awareness of the product Return On Investments. Search Engine Optimization Techniques. Search engine optimization is the process of affecting the online visibility of a website or a web page in a web search engine's unpaid results. By using the below techniques we can increase search results of our websites and it will lead to increase the cost-effectiveness, usability, brand awareness, etc. 1. Use rel

Machine Learning  What is  Machine Learning? "Machine learning is the scientific study of algorithms and statistical models that computer systems use to effectively perform a specific task without using explicit instructions, relying on patterns and inference instead. It is seen as a subset of artificial intelligence." In traditional programming, we feed a set of instructions for a defined set of scenarios to the computer. Then the computer will utilize its computing capabilities to help human process the data efficiently. In machine learning, a large amount of data is input into the computer. Then computer processes all the data and comes up with a trained model(solution). After this model is used to solve the unseen problems of the real world. Applications of  Machine Learning Machine Learning has started growing fast because nowadays we have less expensive computational power and lots of data which we can use the train our models. Therefore Machin