Category: Machine Learning

What is Machine Learning? Does a Machine Learn?

One of the most asked questions is How can a Machine Learn? Actually it can.

How does it learn? How do we teach a machine to learn? We give it examples.

We give many examples to the Machine.

We take training data to teach a machine or an algorithm to do prediction accurately

E.g. we take a new data sample and the machine should Predict Y.

We take a Predictive model, which takes the Training Data which are historical data and produces the Output.

We create mathematical Model with Training set and then we give the model a new example which is not in training set and the model give the output y.

A model is characterized by a set of parameters and the Goal is to learn those parameters and after learning is done, we take new data and Predict the Outcome.

Why ML ?

Machine Learning has been a study for many years now. Its in recent Years that because of High performance and accuracy, it has been more interesting . One of the areas of ML is Imgae Processing.

In many cases, its analysing complex images and Labeling them with very high accuracy and in some cases even better than Human beings.

These are complex Images and Machine is doing very accurate Job here. This is Image net challenge and its there for Years.

It can outperform humans in some areas.

There are lot of applications in medicine such as ophthalmology, dermatology which are more on Image Analysis.

Also in Playing sophisticated games, it has shown remarkable performance by solving complex sequential Problem. In some games Machine has defeated human beings.