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Machine Learning (Introduction)

Let us start by simple question.

What is Machine Learning?

Machine Learning is one of the most popular fields in computer science. Basically machine learning are some computer algorithms that improve automatically with experience. Using these algorithms computers can provide sense to data in much the same way as human beings do. The mail goal of ML algorithms are to extract some kind of pattern from raw data. One of the famous definition of Machine Learning is:
A computer program is said to learn from experience E with respect to some class of tasks T and performance measure P, if its performance at tasks in T, as measured by P, improves with experience E.

Need of Machine Learning?

One of the main question people ask is what is the need of machine learning. Humans being one of the most advanced species in the whole world, we can make decisions and evaluate complex problems, so why do we need machine learning. The Artificial intelligence still being in it developing state, is slowly evolving and soon AI's will be able to evaluate such complex problems more efficiently than humans. Moreover AI's can solve these problems much more cheaply and quickly than humans do. So many of the big companies are investing in these technologies like Machine Learning, Deep Learning and Big Data to improve their processes. The AI's can make decisions much more efficiently and at scale. The computer systems will make decisions based on data, commonly referred to as data driven approach and thus help in automating many of the processes. 

Comments

  1. Alfred AvinaAugust 29, 2020 at 6:08 PM

    As we know, Machine Learning is the future of the industries these days, this article helps me to figure out which language I need to learn to pursue the future in this field

    ReplyDelete

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