Notes

Disciplines that make up AI
It can be confusing to differentiate between AI and machine learning and between all of the subfields within artificial intelligence. Here’s a brief look at some of those disciplines:

Machine learning: Machine learning is a subset of AI that incorporates computer science, mathematics, and coding. Machine learning focuses on developing algorithms that help machines learn from data and predict trends without human assistance.

Deep learning: Deep learning is a discipline of AI that imitates the human brain by learning from how it structures and processes information to make decisions. This subset of machine learning can learn from unstructured data without supervision, instead of being programmed to perform a specific task.

Neural networks: A neural network is a deep learning technique designed to resemble the human brain’s structure. Neural networks perform calculations and create outputs on large data sets.

Natural language processing: Natural language processing (NLP) is AI that enables computers to understand spoken and written human language. NLP enables text and speech recognition on devices.

Computer vision: Computer vision is an interdisciplinary field that focuses on how computers can gain understanding from images and videos. In AI, computer vision enables automating activities that the human visual system typically performs.