Get Machine Learning, Neural And Statistical Classification - Kau Edu 2020-2024

Simply put, machine learning allows the user to feed a computer algorithm an immense amount of data and have the computer analyze and make data-driven recommendations and decisions based on only the input data.

Machine learning has become such a part of our daily lives that you might not have recognized technologies using it to understand your preferences, to predict traffic patterns, and to recognize speech and images. As machine learning algorithms get fed more data, they learn more and become increasingly accurate.

Three main uses of machine learning: detection, prediction and generation.

The main difference between machine learning and statistical learning is that machine learning algorithms focus on building models that can make accurate predictions on new, unseen data, while statistical learning algorithms focus on building models to make predictions or decisions based on data.

Machine learning is used in internet search engines, email filters to sort out spam, websites to make personalised recommendations, banking software to detect unusual transactions, and lots of apps on our phones such as voice recognition.

1. Facial recognition. Facial recognition is one of the more obvious applications of machine learning. People previously received name suggestions for their mobile photos and Facebook tagging, but now someone is immediately tagged and verified by comparing and analyzing patterns through facial contours.