Introduction of machine learning with AI

Data science, machine learning and artificial intelligence are some of the top trending topics in the tech world today. Data mining and Bayesian analysis are trending and this is adding the demand for machine learning. This tutorial is your entry into the world of machine learning.

Machine learning is a discipline that deals with programming the systems so as to make them automatically learn and improve with experience. Here, learning implies recognizing and understanding the input data and taking informed decisions based on the supplied data. It is very difficult to consider all the decisions based on all possible inputs. To solve this problem, algorithms are developed that build knowledge from a specific data and past experience by applying the principles of statistical science, probability, logic, mathematical optimization, reinforcement learning, and control theory.

Applications of Machine Learning Algorithms

The developed machine learning algorithms are used in various applications such as −

Vision processing

Language processing

Forecasting things like stock market trends, weather

Pattern recognition

Games

Data mining

Expert systems

Robotics

Steps Involved in Machine Learning

A machine learning project involves the following steps −

Defining a Problem

Preparing Data

Evaluating Algorithms

Improving Results

Presenting Results