Machine learning enables the system with the capability to automatically explore, enhance and improve according to different situations without being programmed. Machine learning is centered on the development of intelligent computer programs that can process the data and utilize it further.
Machine learning is powered by statistics, calculus, linear algebra and probability statistics. Calculus tells us how to learn and optimize our mode, linear algebra makes running these algorithms feasible on the massive datasets and the probability helps in predicting the likelihood of an event occurring (Figure 5.6).
We make a set of attributes defined by an individual example. Sets of the attribute are known as features and variables. Binary, numeric and ordinal can also represent these features. The performance metric is used for calculating the performance of machine learning.
In today’s world, we are surrounded by lots of technologies. So, it is better to stay up to date with new emerging technologies.
Leave a Reply