In machine learning and artificial intelligence, Supervised Learning refers to a class of systems and algorithms that determine a predictive model using data points with known outcomes.| DeepAI
A Probability Distribution is the sum of the probabilities of the events occurring. There are two distinct types of probability distributions, continuous and discrete.| DeepAI
An artificial neural network learning algorithm, or neural network, or just neural net, is a computational learning system that uses a network of functions to understand and translate a data input of one form into a desired output, usually in another form.| DeepAI
In simple words, Natural Language Processing is a field which aims to make computer systems understand human speech. NLP is comprised of techniques to process, structure, categorize raw text and extract information.| DeepAI
Deep learning is a machine learning method using multiple layers of nonlinear processing units to extract features from data. Find out more on DeepAI.| DeepAI
A decision tree is a supervised learning technique that has a pre-defined target variable and is most often used in classification problems.| DeepAI
The application of rapid data processing, machine learning, predictive analysis, and automation to simulate intelligent behavior and problem solving capabilities with machines and software.| DeepAI
A field of computer science that aims to teach computers how to learn and act without being explicitly programmed.| DeepAI
A classifier is any deep learning algorithm that sorts unlabeled data into labeled classes, or categories of information.| DeepAI