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Showing posts with the label Science

Quantum Machine Learning

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Quantum Machine Learning Quantum computing is a vicinity of reckoning, focused on developing computer technology based on the principles of quantum physics.  Quantum physics is one among the foremost winning series of contemporary science describing the way our world works at the foremost elementary level.Quantum computing has become one of the most leading applications of quantum physics. It can solve some of the world’s impenetrable problems that are beyond the reach of even today’s most efficient supercomputers. We can assume that quantum computers are not going to replace classical computers but they are radically a different approach for operations that enables them to perform calculations that classical computers cannot. Let’s see how they differ: Classical computers encode the information in bits and each bit can represent 0 or 1 that ultimately translate into computer functions to perform simple calculations. Unlike classical computers, quantum computers encode information ...

Let's Start With the M of Machine Learning

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What Is Machine Learning? Machine learning is something which is similar to the humans. Basically, humans learn from their past experience so machines do the same. First, the machine is trained with data, next it learns how to predict based on the past experiences,i.e it gives an output for a new task or new data. To put in simpler terms, think of it this way, we have been trained to do a few routine tasks in a way-like eating, sleeping, brushing teeth in the morning etc.. the knowledge increases with experience and so does for the machine. It learns from past experiences and the data which is given. Machine learning is a subset of artificial intelligence that helps in predicting the output more accurately based on a few computer algorithms.  The aim of the algorithm is simple, take the data, read it, apply a few models to see which one suits the best for the given problem and finally predict the output for a new data. Why Machine Learning? ⦁ To reduce the work load for humans...