In this article you can find a exclusive AI glossary, a list of all artificial intelligence terms such as Machine Learning, data science, ImageNet, neural network, sentiment analysis, Turing test and more.
- Software developers may employ a collection of commands, procedures, protocols, and objects to build applications or communicate with an external system.
- A pattern of procedures or instructions given to an AI, neural network, or other devices to assist them in learning on their own; classification, clustering, suggestion, and regression are four of the most common sorts.
- Biases may significantly impact machine learning algorithms that are trained from data, ranging from gender to race to age to economic status and everything in between.
- Artificial intelligence (AI) frameworks make it easier and faster to develop machine learning/deep learning, neural networks, and natural language processing (NLP) applications by providing ready-made solutions.
- Artificial neural networks are a type of machine learning in which small inputs from a user, such as photographs or videos of their products, are converted into predicted concepts.
- It was proposed by film critic Roger Ebert at the 2011 TED conference as a challenge for software developers to have a computerized voice master the inflections, delivery, timing, and intonations of speaking people.
- The exam is comparable to Turing’s test, which was created in 1950 to determine if a computer could exhibit intelligent behavior by producing a human performance.
- GANs, for example, are utilized in fashion, art, and marketing, but they are also becoming increasingly popular among malicious attackers to spread false news.
- When an algorithm is deemed fit for widespread usage, data scientists, DevOps, and machine learning experts collaborate to move it to production systems through MLOps.
- Although researchers are still attempting to construct a computer model of the human brain, current neural networks can already accomplish many things regarding speech, vision, and board game strategy.
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