Machine Learning Tutorials
Artificial Intelligence has become prevalent recently. People across different disciplines are trying to apply AI to make their tasks a lot easier. For example, economists are using AI to predict future market prices to make a profit, doctors use AI to classify whether a tumor is malignant or benign, meteorologists use AI to predict the weather, etcetera.
So it is much necessary to know what is Artificial Intelligence? And How it is working?
What is Artificial Intelligence?
The word Artificial Intelligence comprises two words “Artificial” and “Intelligence”. Artificial refers to something which is made by human or non-natural thing and Intelligence means the ability to understand or think.
There can be so many definitions of AI, one definition can be “It is the study of how to train the computers so that computers can do things like human or better than human”. Therefore, it is an intelligence where we want to add all the capabilities to the machine that human contains.
What is Machine Learning?
Machine Learning is an extensively algorithm-driven study which makes computer/device/software capable of learning based on their own previous experience and improve the performance of a task. It also gives machines/software the ability to analyze, predict and sort huge amounts of data.
The name machine learning was coined in 1959 by Arthur Samuel.
What is Deep Learning?
Deep learning is part of a broader family of machine learning methods based on artificial neural networks with representation learning. Learning can be supervised, semi-supervised or unsupervised.
Deep learning architectures such as deep neural networks, deep belief networks, recurrent neural networks, and convolutional neural networks have been applied to fields including computer vision, speech recognition, natural language processing, audio recognition, and many more…