Machine Learning

When we hear " Machine learning " the first two questions that come to our minds are :

1- What is Machine Learning ?

2- How can machine learns by itself

In this post I will share some information about these two questions .

What is Machine Learning ?

Machine Learning is a branch of Artificial Intelligence (AI), It is focused on teaching computers to learn by itself from data and to improve with experience – instead of being explicitly programmed to do so.

How can machine learns by itself ?

to answer this question we need to know how Machine Learning works.

1. A Decision Process: In general, machine learning algorithms are used to make a prediction or classification. Based on some input data, which can be labelled or unlabeled, your algorithm will produce an estimate about a pattern in the data.

2. An Error Function: An error function serves to evaluate the prediction of the model. If there are known examples, an error function can make a comparison to assess the accuracy of the model.

3. A Model Optimization Process: If the model can fit better to the data points in the training set, then weights are adjusted to reduce the discrepancy between the known example and the model estimate. The algorithm will repeat this evaluate and optimize process, updating weights autonomously until a threshold of accuracy has been met.

thanks for reading.