Why machine learning is future? | Hi Tech Blog

What is Machine Learning?


  Machine learning is a course or field coming under computer science, that uses statistical techniques to give computer system the ability to learn with data,without programming.


Machine Learning

 How machine learning evolved?

   First of all,the name "Machine Learning" was coined by Arthur Samuel in 1959. From the study of automation and computational learning theory which is in artificial intelligence (AI),machine learning studies the codes and algorithms that can learn from and make prediction on data. Machine learning is very much useful in range of computing tasks where designing and programming explicit algorithm with good performance is difficult or infeasible.
Machine Learning


'Google Translation',we all have used which is an application of machine learning.

Machine learning in AI gets used interchangeably especially by big brand companies that want to announce latest innovations. However,machine learning and AI are two distinct areas of computing where they are connected. The goal of AI is to create a machine that can create a replica of a human mind. And for that,it needs learning capabilities. Machine learning is totally based on writing software that can learn from past experiences.
Machine Learning


  But machine learning do have some disadvantages which are also needed to be discussed.
  First of all,for future predictions,machine learning needs lots and lots of training. Secondly, lack of variability. Thirdly,some machine learning algorithms require lots of training data such as deep learning algorithms that are cumbersome to work with.

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