Word2Vec – CBOW and Skip-Gram
CBOW learns to predict the word by the context window(+nt -nt words) around it by taking the max probability of the word that fits this …
Tag: probability
AI / Algorithms / Autonomous Vehicles / Cars / Computer Vision / Drones / NLP / Reinforcement Learning
Hidden Markov Model (HMM)
Hidden Markov Model (HMM) is a statistical Markov model in which the system being modeled is assumed to be a Markov process with unobservable (i.e. …
AI / Algorithms / Autonomous Vehicles / Cars / Computer Vision / Drones / NLP / Reinforcement Learning
Markov Chain
A Markov chain is a stochastic model describing a sequence of possible events in which the probability of each event depends only on the state …
Markov decision process (MDP) – Reinforcement Learning decision model
* Is a discrete time stochastic control process for decision making in situations where outcomes are partly random and partly under the control of a …
Math / Science / Statistics
Prior probability distribution
A prior probability distribution of an uncertain quantity is the probability distribution that would express one’s beliefs about this quantity before some evidence is taken …
Math / Science / Statistics
Likelihood function
Expresses how likely particular values of statistics or a random variables are for a given set of observations. Indexes the family of joint probability distribution …
AI / Algorithms / Deep Machine Learning / Math / Science
Bayes’ Theorem – The probability Event A will happen given Event B Happened
Bayes’ Theorem – Is the probability Event A will happen given (|) Event B happened. P(A|B) = P(B|A) * P(A) / P(B) For example (Assume we …