Machine Learning is a computer science field that enables the computer or any other machine to learn without explicit programming. The main focus of machine learning is to provide algorithms that can be trained to accomplish a task. It is a subset of artificial intelligence. Machine learning algorithms create a mathematical model based on sample data, known as “training data,” so that predictions or decisions can be made without explicit programming for the task.
Machine learning is closely related to the statistical as well as mathematical interpretation and optimization of data.It includes various techniques and methods like Supervised Learning, Unsupervised Learning, Semi-supervised Learning and Reinforcement Learning, each of which has their separate algorithms and importance.
Why is Machine Learning important?
Several studies and research performed in recent years have shown that Machine Learning can be used to automate many different tasks that only humans can do like Image Recognition, Text Generation, understanding and responding to human voice or playing games.
Data is every business’ lifeblood. Data-driven decisions increasingly make the difference between competing or falling further behind. Machine learning can be the key to unlocking the value of corporate and customer data and taking decisions that keep a company ahead of the competition.