In this article, we will uncover all the concepts of artificial intelligence and understand each aspect of it perfectly so that there remains no confusion on this subject.
According to a study by McKinsey Global Institute, AI is estimated to create an additional 13 trillion US dollars of value annually by the year 2030. Even today the artificial intelligence technologies are generating a tremendous amount of revenue, but it is mostly in the software field. However, by 2030, the revenue that will be generated will be outside the software industry, especially in sectors such as retail, travel, transportation, automotive, materials, manufacturing, and so on. There are several areas where AI will be highly impactful, but there is a lot of unnecessary hype surrounding it as well. Goldilocks Rule of AI states that one should not be optimistic or too pessimistic about AI technology.
This "Deep Learning vs Machine Learning vs AI vs Data Science" video talks about the differences and relationship between Artificial Intelligence, Machine Learning, Deep Learning, and Data Science.
What is the difference between machine learning and artificial intelligence and deep learning? Supervised learning is best for classification and regressions Machine Learning models. You can read more about them in this article.
Artificial Intelligence (AI) vs Machine Learning vs Deep Learning vs Data Science: Artificial intelligence is a field where set of techniques are used to make computers as smart as humans. Machine learning is a sub domain of artificial intelligence where set of statistical and neural network based algorithms are used for training a computer in doing a smart task. Deep learning is all about neural networks. Deep learning is considered to be a sub field of machine learning. Pytorch and Tensorflow are two popular frameworks that can be used in doing deep learning.
Most popular Data Science and Machine Learning courses — August 2020. This list was last updated in August 2020 — and will be updated regularly so as to keep it relevant
Simple explanations of Artificial Intelligence, Machine Learning, and Deep Learning and how they’re all different