Machine Learning Tutorial
This Machine Learning tutorial is written by industry experts to provide basic and advanced concepts of ML.
It is written in very simple language to provide maximum benefit to beginners as well as professionals. Here, you will get everything in simple and easy steps.
What is Machine Learning?
Machine Learning is a field of computer sciece which makes computers capable to automatically learn and improve from experience without being explicitly programmed. Machine learning is an application of artificial intelligence (AI) that focuses on the development of computer programs that can access data and use it learn for themselves.
In this tutorial, we will provide information on popular topics such as History of ML, applications of ML, deep learning, supervised and unsupervised learning, clustering, etc.
Machine learning algorithms are often categorized as supervised and unsupervised learning.
Why Machine Learning?
Machine Learning (ML) must be learnt because it is expected to bring heavy changes to the world of technology. It is a subfield of artificial intelligence and computer science which allows software applications to be more accurate in predicting results. The prime objective of machine learning technology is to build algorithms that can get input data and leverage statistical analysis to predict an acceptable output value.
The main motto of Machine learning is to build machines and enable them to work on their own.
Before learning Machine Learning, it will be good if you have a basic knowledge of any computer language such as C, C++, Java, Python, etc.(knowledge of Python will be an advantage), knowledge of essential Mathematics such as derivatives, probability theory, and artificial intelligence etc.