Machine learning platforms Definitions

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  • A

    AI governance

    AI governance is the idea that there should be a legal framework for ensuring that machine learning (ML) technologies are well researched and developed with the goal of helping humanity navigate the adoption of AI systems fairly.

  • artificial ignorance

    Artificial ignorance is the artificial intelligence (AI) development practice of ignoring insignificant data in order to focus more attention to important information that might be valuable.

  • B

    backpropagation algorithm

    Backpropagation (backward propagation) is an important mathematical tool for improving the accuracy of predictions in data mining and machine learning. Essentially, backpropagation is an algorithm used to calculate derivatives quickly.

  • bag of words model (BoW model)

    The bag of words model (BoW model) is a reduced and simplified representation of a text document with selected parts of the text.

  • C

    case-based reasoning (CBR)

    Case-based reasoning (CBR) is an experience-based approach to solving new problems by adapting previously successful solutions to similar problems.

  • cognitive modeling

    Cognitive modeling is an area of computer science that deals with simulating human problem-solving and mental processing in a computerized model.

  • concept mining

    Concept mining is the process of searching documents or unstructured text for ideas and topics.

  • convolutional neural network

    A convolutional neural network (CNN) is a type of artificial neural network used in image recognition and processing that is specifically designed to process pixel data.

  • E

    expert system

    An expert system is a program that uses artificial intelligence (AI) technologies to simulate the knowledge and judgment of humans. Expert systems usually include a subject-specific knowledge base and can have additional modules added to expand their capacities.

  • F

    face detection

    Face detection -- also called facial detection -- is an artificial intelligence (AI) based computer technology used to find and identify human faces in digital images.

  • facial recognition

    Facial recognition is a category of biometric software that maps an individual's facial features mathematically and stores the data as a faceprint.

  • fuzzy logic

    Fuzzy logic is an attempt to use more human-like reasoning and better reflect reality through employing"degrees of truth" rather than the usual "true or false" (1 or 0) Boolean logic on which the modern computer is based.

  • G

    generative adversarial network (GAN)

    A generative adversarial network (GAN) is a type of AI machine learning (ML) technique made up of two nets that are in competition with one another in a zero-sum game framework.

  • generative modeling

    Generative modeling is the use of artificial intelligence (AI), statistics and probability in applications to produce a representation or abstraction of observed phenomena or target variables that can be calculated from observations.

  • Google AutoML Vision

    Google AutoML Vision is a machine learning model builder for image recognition, offered as a service from Google Cloud.

  • I

    IBM Watson supercomputer

    Watson is an IBM supercomputer that combines artificial intelligence (AI) and sophisticated analytical software for optimal performance as a 'question answering' machine.

  • M

    machine learning (ML)

    Machine learning (ML) is a category of algorithm that allows software applications to become more accurate in predicting outcomes without being explicitly programmed.

  • machine learning bias (algorithm bias or AI bias)

    Machine learning bias, also known as algorithm bias or AI bias, is a phenomenon that occurs when an algorithm produces results that are systematically prejudiced due to erroneous assumptions in the machine learning process.

  • machine teaching

    Machine teaching is the emerging practice of infusing context -- and often business consequences -- into the selection of training data used in artificial intelligence (AI) machine learning so that the most relevant outputs are produced by the machine learning algorithms.

  • N

    artificial neural network (ANN)

    In information technology (IT), a neural network is a system of hardware and/or software patterned after the operation of neurons in the human brain.

  • narrow AI (weak AI)

    Narrow AI is an application of artificial intelligence technologies to enable a high-functioning system that replicates – and perhaps surpasses -- human intelligence for a dedicated purpose.

  • P

    predictive modeling

    Predictive modeling is a process that uses data mining and probability to forecast outcomes.

  • PyTorch

    PyTorch is an open source machine learning (ML) framework based on the Python programming language and the Torch library. It is one of preferred platforms for deep learning research.

  • reinforcement learning

    Reinforcement learning is a training method based on rewarding desired behaviors and/or punishing undesired ones.

  • R

    recurrent neural networks

    Recurrent neural networks are a type of advanced neural network that uses directed cycles in memory in order to perform recurrent tasks on a body of data.

  • S

    self-driving car (autonomous car or driverless car)

    A self-driving car (sometimes called an autonomous car or driverless car) is a vehicle that uses a combination of sensors, cameras, radar and artificial intelligence (AI) to travel between destinations without a human operator.

  • swarm intelligence

    Swarm intelligence is the study of decentralized, self-organized systems that move quickly in a coordinated manner.

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