What Do You Mean By Machine Learning?

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What do you mean by Machine Learning? What are its various techniques/methods? Explain some areas where Machine Learning techniques can be applied.

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What Do You Mean By Machine Learning?


Machine learning is a process where the prediction of outcomes is done with the help of data which has been provided. It is a part of Artificial Intelligence (AI). Computers are trained to predict results as per provided data, and not based on any equation or model. With the advancement of Machine Learning, computers will be able to decide what would be the end result based on previous behaviors and patterns of data. When an equation or a model cannot be designed for a particular situation or coding is impossible to decide the outcome of a specific situation, it is then that Machine Learning comes into the picture.


Consider the following examples:

  • Face Authentication/ Facial Recognition: The facial patterns of a particular person can be embedded into the machine, which can help the computer to predict the correct person.

E.g. Bank ATM’s these days are implementing the use of facial recognition techniques to prevent frauds during any transaction.

  • Voice Recognition: On the basis of sound waves, a machine can identify the correct voice. E.g. Google voice recognition app.

Some methods of Machine Learning are as follows:

  • Supervised Machine Learning: Predicts the outcome based on previously fed data.
  • Unsupervised Machine Learning: It mainly involves exploring the data and predicting the outcome since there is no predefined output.
  • Semi-Supervised Machine Learning: The outcome of only some part of data is predefined in this case. It is difficult to predict the result based on past data. In this case, both supervised and unsupervised machine learning techniques can be used to decide the result.

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