Unraveling The Meaning From COVID-19 Dataset Using Python – A Tutorial for beginners

Introduction The Corona Virus – COVID-19 outbreak has brought the whole world to a stand still position, with complete lock-down in several countries. Salute! To every health and security professional. Today, we will attempt to perform a single data analysis with COVID-19 Dataset Using Python. Here’s the link for Data Set available on Kaggle. Following

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What is Computer Vision?

Our generation has witnessed an emerging shift in how much a machine can be involved in human lives. Using a computer to send Email, text to making video calls, chatting on multiple devices and now chatting with a machine. In no time machines were learning to understand the human behaviour by the text and now

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Computer Vision in Healthcare – What It holds for future?

Before discussing futuristic applications of computer vision in healthcare, let us talk a little about how computer vision works. Although, the ability to make machines “see” a still image and read it, is related to human’s ability to see, the machines see everything differently. For example, when we see a picture of a car, we

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AI on Edge Technology: What Future holds for us?

After Industrialization in 20th century, Digitalization is one hot topic and an ever changing environment. From your smart watches to Android Powered TVs and wonderful IoT applications. Out of all important aspects for emerging technologies, Data is one of the deciding factor. We now have dedicated teams and departments to utilize the Data, for the

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Incredible evolution journey of NLP models !!

There have been ground breaking changes in the field of AI, where many a new algorithms and models are being introduced and worked up. The pace that we have been moving at, is sure to bring many more rapid developments in various industries with AI as major change maker. Here we are going to talk

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The Past, Present and the Future of Natural Language Processing?

Making our machines understand the language has made significant changes in the field of machine learning and has improvised the various Natural Language Processing models. But on the contrary, it was quite difficult for machines to understand the underlying meaning of a sentence and how it has its importance in a bunch of sentences, until

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