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  2. Deterioration modeling - Wikipedia

    en.wikipedia.org/wiki/Deterioration_modeling

    Recently, more complex methods based on simulation, Markov models and machine learning models have been introduced. A well-known model to show the probability of failure of an asset throughout its life is called bathtub curve. This curve is made of three main stages: infant failure, constant failure, and wear out failure.

  3. The Voleon Group - Wikipedia

    en.wikipedia.org/wiki/The_Voleon_Group

    The Voleon Group (Voleon) is an American quantitative investment management firm based in Berkeley, California. The firm makes use of artificial intelligence and machine learning in its trading strategies.

  4. Predictive analytics - Wikipedia

    en.wikipedia.org/wiki/Predictive_analytics

    Predictive analytics statistical techniques include data modeling, machine learning, AI, deep learning algorithms and data mining. Often the unknown event of interest is in the future, but predictive analytics can be applied to any type of unknown whether it be in the past, present or future.

  5. List of datasets for machine-learning research - Wikipedia

    en.wikipedia.org/wiki/List_of_datasets_for...

    OpenML: [493] Web platform with Python, R, Java, and other APIs for downloading hundreds of machine learning datasets, evaluating algorithms on datasets, and benchmarking algorithm performance against dozens of other algorithms. PMLB: [494] A large, curated repository of benchmark datasets for evaluating supervised machine learning algorithms ...

  6. Intelligent transformation - Wikipedia

    en.wikipedia.org/wiki/Intelligent_transformation

    For example, advanced machine learning methods developed can achieve more accurate demand forecast in certain scenarios. Predix Asset Performance Management from General Electric is designed to optimize the performance of assets. Its goal is to increase reliability and availability and also minimize costs.

  7. Mathematical finance - Wikipedia

    en.wikipedia.org/wiki/Mathematical_finance

    Also related is quantitative investing, which relies on statistical and numerical models (and lately machine learning) as opposed to traditional fundamental analysis when managing portfolios. French mathematician Louis Bachelier's doctoral thesis, defended in 1900, is considered the first scholarly work on mathematical finance.

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    Get AOL Mail for FREE! Manage your email like never before with travel, photo & document views. Personalize your inbox with themes & tabs. You've Got Mail!

  9. Machine learning - Wikipedia

    en.wikipedia.org/wiki/Machine_learning

    A machine learning model is a type of mathematical model that, once "trained" on a given dataset, can be used to make predictions or classifications on new data.

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