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To overcome the shortcomings of high dimensional models, various dimensionality reduction methods have been introduced, useful in converting a tall dimensional model into a low dimensional model, thus facilitating easy analysis. Of which, feature extraction is one the most important ones. Feature extraction rebuilds the original features to form newer features that are more informative,...
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The transformer-based model has been key to recent advancement in the field of Natural Language Processing. The reason behind this success is a technique called Transfer Learning. Although computer vision practitioners are well-versed with this technique, it is relatively new to the field of NLP. In Transfer Learning, a model (in our case, a Transformer model) is...
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Based on global trends, increasing tensions continue to occur in various hot-spots leading to increased urgency in military research and development for either attack or anti-attack systems. Most countries consistently increase their annual budget to accommodate their capacity to create new tech armors, weapons, gears, and forecasts have even revealed that there will be larger...
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In technical innovation and the business world, predictive analysis is one of the leading AI advancements. Predictive analysis is tied in with making estimates about potential functions that are dubious. To build up its system, an endeavor needs a wide range of data (counting both inside and outside information just as organized and unstructured information),...
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Choosing a mobile development framework can be daunting at times. There are many option and consideration to make outside the framework. Consideration: Time to Market Development Cost Maintenance Cost App Performance Feature Availability 3rd Party Risk 1st Party Native App: Google Android and Apple iOS are leading mobile operating system. Android is the leading mobile...
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In this chapter we will discuss OOPs concepts available  in Java. Let’s get started. Object:  Entity that has the state and behaviour is known as an object. An object can be defined as the instance of class. As Java is an Object-oriented programming language, we create objects to get the job done. Objects consume some...
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Load Balancing on the idea of Cloud Environment. Cloud computing can either be in a static or dynamic environment based on the load and sort of nodes’ distribution. Static Environment. In a fixed environment, the cloud provider installs homogeneous resources. Also, the resources within the cloud aren’t flexible when the ground is formed static. These user...
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Working of algorithms in Random Forest and Decision Trees  In Data Science, one of the widely used algorithms to solve problems is Random Forest, which derives from another algorithm called Decision Tree. A decision tree is utilized for both classification and regression problems, a supervised machine learning algorithm. A decision tree is a series of...
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Over the past few years, Blockchain has paved its way to the heart of the Tech Industry. Thanks to its limitless applications, more and more companies are adopting Blockchain in their workflow. The tech giant IBM has invested more than $200 million in the research and development of Blockchain technology. Hence as a buddy developer...
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INTRODUCTION- Long short-term memory (LSTM) networks were the most common deep learning networks which were used for sentiment analysis, next-word prediction. LSTM networks, although good, had a lot of drawbacks, like the text is fed in sequentially and generated sequentially either from right to left or left to right. Even in the case of bidirectional...
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