What is Machine Learning Algorithms

Is a process or sets of procedures that helps a model adaptation to the data given for an object. An ML algorithm normally specifies the way of data that transform from input to output and how the model learns the appropriate mapping from input to output.

A set of tools that classifying a large amount of data can predict different dynamics in several areas of interest through several methods and tools such as object representation, optimization processes (Bayesian theorem), and neural networks. These tools aim to reduce the complexity of the data while searching for hidden patterns. To this end, these algorithms perform a basic cognitive function of the development of human cognition as learning through experience. In other words, starting from the identification of a certain “law” on the scattered data, these algorithms create categories, similarly to the evolutionary processes occurring in childhood for the development of conceptual categories. This process allows the learning system to recognize the input data that belonging to a certain category.

Pre-programmed algorithms receive and analyse input data to predict output values that are within an acceptable range. These algorithms learn and optimise their operations as new data is added, improving performance, and developing intelligence over time. Algorithms are a set of rules that a computer follows to accomplish a specific goal procedure for solving.