AI / Machine Learning

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NAIVE BAYES ALGORITHM

In a world where many manual operations are mechanized, the definition of the word ‘manual’ is evolving. Computers can play chess, perform surgery, and develop into smarter, more humanlike machines with the aid of machine learning algorithms. What is Naive Bayes Algorithm? The machine learning algorithm is divided into categories, in which Naive Bay read more..
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METAVERSE: AN ASSET FOR REMOTE WORKERS

Have you played the game where you need to wear the VR glasses and jump into another world by taking on an avatar? Do you know the technology that makes this possible? How about applying that technology into our work life? That is metaverse. A technology which has created a space through which people can shop, play, work and interact with others from the comfor read more..
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MACHINE LEARNING AND CONTINUOUS AUTHENTICATION

Securing the information and data using authentication has evolved immensely over time. From simple passwords to complex patterns and now in today,s digital world, with mechanisms like biometric verification, the data is sure to secure. Having said that, the skills and adaptions of fraudulent minded individuals have also increased multifold. This brings us to the question: What Next? How can th read more..
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ARTIFICIAL INTELLIGENCE, MACHINE LEARNING AND DEEP LEARNING

In this 21st century with the development of sophisticated technology in all fields life has become easier compared to the previous decades. One such result obtained by the development of the sophisticated technology is Artificial intelligence, which we are all well familiar with, as it has been a popular focus in the movies like The Matrix, The terminator, Avengers etc. Lately we have been hea read more..
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AN INTRODUCTION TO MACHINE LEARNING

ML is actually a lot many things. The field is quite vast and is expanding rapidly.Machine Learning is the subfield of Computer Science that gives computers the ability to learn without being explicitly programmed. (Arthur Samuel,1959)By means of algorithms that iteratively learn from data, machine learning allows computers to find hidden insights without being obviously progr read more..
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R AND PYTHON: GRADIENT DESCENT

My previous blog, I presented syntactical differences and similar functions between R & Python. Now, I want to take it to next level and write some machine learning algorithms using both R and Python. Here, one may use direct functions from the packages available. However, here I am presenting the way to write your own functions for algorithms. In this series, I am starting with Gradient de read more..
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