Overview of the machine learning landscape

Machine learning is a subset of artificial intelligence (AI) whereby an algorithm can learn to predict values from input data without explicitly being taught rules. These algorithms rely on statistics to make inferences as they learn; they then use what they learn to make predictions.

Applying for a loan, using a search engine, sending a robot vacuum to clean a specific room with a voice command—machine learning can be found everywhere we look. This is because it can be used for many purposes, for example, voice recognition by AI assistants such as Alexa, Siri, or Google Assistant, mapping floor plans by exploring surroundings, determining who will default on a loan, figuring out which search results are relevant, and even painting (https://www.boredpanda.com/computer-deep-learning-algorithm-painting-masters/).

Machine learning models can be made to adapt to changes in the input over time and are a huge help in making decisions...