We live in a digital era. In this era, data plays a significant role in the industry, and almost every company produces a vast amount of data. The volume of digital data generated is growing at a rapid rate. This was not expected initially. But, industries are witnessing that the data collected is getting doubled every two years. According to the article of Forbes reports, it is concluded that by the end of 2020, almost 1.7 megabytes of new information will be created every second for each human being that exists on this planet. To handle such a massive volume of data, we need to know at least the basics…
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Frequently Asked Node.js Interview Questions and Answers
Veteran computer scientists claim that learning MEAN is helpful for the career. Many people ask what the MEAN exactly is to answer the question, MEAN is a web development tool. Node.js is a server-side technology, So technology training and framework that you have to be proficient to become the ideal MEAN stack developer Those who know to MEAN have an edge over others in the job market. Also, the knowledge of MEAN secures a lucrative salary. Those who aspire to be MEAN stack. Developers need to possess knowledge of Node.js. When a professional who possesses knowledge of mean, he or she is asked specific questions regarding Node.js. Let us find out…
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What is Perceptron – A Complete Study
Perceptron is a section of machine learning which is used to understand the concept of binary classifiers. It is a part of the neural grid system. In fact, it can be said that perceptron and neural networks are interconnected. Perceptron forms the basic foundation of the neural network which is the part of Deep Learning. It is viewed as building blocks within a single layer of the neural network. Perceptron consists of four different mathematical parts – First is input value or one input layer Second, the net sum Third, weight and bias Fourth, Activation function A neural network which is made up of perceptron can be defined as a…
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TOP 10 MACHINE LEARNING PROJECTS FOR BEGINNERS
The 21st century expects people to be technologically brilliant. Machine learning is essential as an emerging concept in this era. Many people have not heard about machine learning. So, let us understand the idea of machine learning in detail. What is Machine Learning Machine learning means the application of artificial intelligence which enables systems to learn automatically. It also allows improvement through the experience without any specific programming. It focuses on developing computer programs for accessing data and utilize it for self-learning. Speech recognition is a typical example of machine learning. Alexa uses this technology of speech recognition to answer questions and obey orders. The main aim of machine learning…
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Top 68 AWS Interview Questions and Answers to Ace the Interview Effortlessly
If you go through the survey, you will come across a massive change in businesses and organizations work. With the world getting computerized, there has been an introduction of remote computing service, also known as a cloud computing platform. Hence the need for cloud professionals is increasing enormously. AWS, which stands for Amazon Web Service, is taking the establishment by storm. To take up this AWS career, you need to be efficiently trained in the field, but before that, you need to qualify a few interviews. If you are looking forward to establishing a career in the AWS, Keep in mind that you will be pleased to know that your…
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Prepare Yourself for A High-Placement with Tableau Interview Questions
Tableau is a popular name among data analysts, programmers, and of course among the Business Intelligence industry. But have you ever asked yourself why is it so popular? There are a plethora of data visualization tools available in the market that will help you to represent raw data more directly. Tableau is one such BI Tool in the field of data visualization, which is used by the Business Intelligence industry today. In this article, we have also prepared the top 20 well-researched Tableau Interview Questions. Before you make a move for any Tableau interview, make sure to go through these questions and answers thoroughly. Why Is Tableau Considered As The…
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How to Improve Data Science Skills
Data science is a collective pool of various algorithms, tools, machine learning principles that work in unison to extract hidden patterns from raw data. It requires a diverse set of skills and demands knowledge from aspects of mathematics, science, communication, and business. Honing a diverse skill set, data scientists gain the ability to analyze numbers and influence decisions. The core objective of data scientists lay in bridging the gap between numbers and actions by using information to affect real world decisions. This demands excellent communication skills along with understanding the implications of their analysis and recommendations to businesses. Data science skills are not confined to data, statistics and pre-defined tools,…
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Benefits of Using Vinsys Cloud Labs for Training
We need everything handy – that’s what technology has been doing to humans for long, long years and now with the unprecedented times risen due to pandemic demands, technology has been put to rigorous use. Everything including knowledge had to travel through the clouds to reach uncompromisingly to millions of learners. This major transition posed a huge challenge to the training providers across the globe. The technology shift from having a mix of physical classroom training and on-premise virtualized environments to completely virtualized cloud-based training lab requires a full-proof cloud strategy in place. How do Virtual Training Labs work? Laboratories on the cloud??? – Yes, you read it right. As…
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A Complete Understanding of Data Science, AI, Machine Learning, & Deep Learning
You must have heard about these terms Data Science, Machine Learning, Artificial Intelligence, Neural Networks, Deep Learning, and many more. But what do these terminologies really mean? And for what reason would it be a good idea for you to think about any of these? Raise your hand if you’ve been trapped in the dilemma of distinguishing between Data Science, Machine Learning, Artificial Intelligence, and Deep Learning. Bring down your hand, pal, we don’t want to see it (smirk). Apparently, the three buzzwords are normally used conversely and do not really allude to similar things. So, in this article, I’m trying to answer all these questions to the best of…
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Emerging trends in Project Management by Nitin Shende (Sprint one)
We are cognizant that the strength of the ‘waterfall model’, the traditional Project Management approach is based on Scope, Schedule and Cost baselines defined to a good extent. Milestones, phase exit criteria, go-no-go decision and associated deliverables are defined which increases the probability of meeting stakeholder needs. At the same time, there are some drawbacks like ‘limited interaction with end-users (initial stage & deliverable stage), difficult to manage changing requirements of end-users and phase-based dependency on skilled resources’, etc. Projects having “unclear, inexplicit scope, constraints over resource availability and aggressive schedules, etc.” were on the rise which resulted in elevating the risks about product or services putting in practice. In…
