A report on Computer science and Probability
These concepts have been given an axiomatic mathematical formalization in probability theory, which is used widely in areas of study such as statistics, mathematics, science, finance, gambling, artificial intelligence, machine learning, computer science, game theory, and philosophy to, for example, draw inferences about the expected frequency of events.
- ProbabilityInformation theory, closely related to probability and statistics, is related to the quantification of information.
- Computer science2 related topics with Alpha
Artificial intelligence
1 linksIntelligence demonstrated by machines, as opposed to the natural intelligence displayed by animals including humans.
Intelligence demonstrated by machines, as opposed to the natural intelligence displayed by animals including humans.
To solve these problems, AI researchers have adapted and integrated a wide range of problem-solving techniques—including search and mathematical optimization, formal logic, artificial neural networks, and methods based on statistics, probability and economics.
AI also draws upon computer science, psychology, linguistics, philosophy, and many other fields.
Natural language processing
1 linksNatural language processing (NLP) is a subfield of linguistics, computer science, and artificial intelligence concerned with the interactions between computers and human language, in particular how to program computers to process and analyze large amounts of natural language data.
Increasingly, however, research has focused on statistical models, which make soft, probabilistic decisions based on attaching real-valued weights to each input feature (complex-valued embeddings, and neural networks in general have also been proposed, for e.g. speech ).