Hidden Markov Models are a ubiquitous tool for modelling time series data or to model sequence behaviour. They are used in almost all current speech recognition systems.
Artificial Intelligence Interview Questions
Deep Learning is a subset of Machine Learning which is used to create an artificial multi-layer neural network. It has self-learning capabilities based on previous instances, and it provides high accuracy.
Inductive logic programming combines inductive methods with the power of first order representations.
Game theory is the logical and scientific study that forms a model of the possible interactions between two or more rational players. Here rational means that each player thinks that others are just as rational and have the same level of knowledge and understanding. In the game theory, players deal with the given set of …
Deep learning is a subset of Machine learning that mimics the working of the human brain. It is inspired by the human brain cells, called neurons, and works on the concept of neural networks to solve complex real-world problems. It is also known as the deep neural network or deep neural learning. Some real-world applications …
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In general, there are certain algorithms that are mostly used, or we can say that they are the first one to approach to understand the complex scenarios. Here are some of them. Neural Network Generic Algorithms Reinforcement Learning
Game Theory is a specialized branch of mathematics that deals with opposing players trying to achieve a particular set of goals. It’s about choosing from a group of rational choices when you have multiple agents. Experts use this algorithm in AI when they have various agents in a problem.
This is the common Artificial Intelligence interview questions asked in an interview. The programming language which is preferred for AI are Python, R, Lisp, Prolog, and Java
A top-down parser begins by hypothesizing a sentence and successively predicting lower level constituents until individual pre-terminal symbols are written.