INITIAL IDEA1

                                                    (Pant, 2019)

 MACHINE LEARNING

What is Machine Leaning?

       Machine Learning is a field of computer science that aims to make it possible for computers to learn new behaviours based on real-world experience. Instead of using human direction, the algorithms should be created to enable the machine to demonstrate behaviour that has been learnt from prior experience. The development of artificial intelligence depends on machine learning, but it is also useful for many common computer jobs. Email spam filters, optical character recognition, and news feeds on social networking sites are examples of common programmes that use machine learning. These programmes change their displays based on prior user behaviour and preferences. (Tantawi, 2020)

 CATEGORIES OF MACHINE LEARNING

Machine learning is divided into categories based on how they are trained

SUPERVISED LEARNING: This is a process in which input are mapped to desired output and the machine learns from them. (Tantawi, 2020)

UNSUPERVISED LEARNING: This is a process in which the computer evaluate input without being aware of the output. (Tantawi, 2020)

SEMI SUPERVISED LEARNING: This is a process whereby certain inputs are matched with expected outputs while others are not. (Tantawi, 2020)

TRANSDUCTION: A process whereby some of the input is matched with the desired output but other input is not. (Tantawi, 2020)

REINFORCEMENT: A process where the machine must establish a policy on how to operate based on watching how specific actions influence its surroundings; and learning to learn, which teaches inductive bias based on past experience. (Tantawi, 2020)

References:

Pant, A. (2019). Introduction to Machine Learning for Beginners. [online] Medium. Available at: https://towardsdatascience.com/introduction-to-machine-learning-for-beginners-eed6024fdb08.

Tantawi, R., PhD (2020). Machine learning. [online] EBSCOhost. Available at: https://eds.p.ebscohost.com/eds/detail/detail?vid=6&sid=801a896f-96b7-4b88-ba11-f8527b23ed3a%40redis&bdata=JkF1dGhUeXBlPWlwLHNzbyZzaXRlPWVkcy1saXZlJnNjb3BlPXNpdGU%3d#AN=90558380&db=ers [Accessed 12 Apr. 2023].