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  2. Predictive learning - Wikipedia

    en.wikipedia.org/wiki/Predictive_learning

    Predictive learning is a machine learning (ML) technique where an artificial intelligence model is fed new data to develop an understanding of its environment, capabilities, and limitations. This technique finds application in many areas, including neuroscience , business , robotics , and computer vision .

  3. Stock market prediction - Wikipedia

    en.wikipedia.org/wiki/Stock_market_prediction

    The use of Text Mining together with Machine Learning algorithms received more attention in the last years, [26] with the use of textual content from Internet as input to predict price changes in Stocks and other financial markets. The collective mood of Twitter messages has been linked to stock market performance. [27]

  4. Predictive modelling - Wikipedia

    en.wikipedia.org/wiki/Predictive_modelling

    The first clinical prediction model reporting guidelines were published in 2015 (Transparent reporting of a multivariable prediction model for individual prognosis or diagnosis (TRIPOD)), and have since been updated. [10] Predictive modelling has been used to estimate surgery duration.

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

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

    OpenML: [494] 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: [495] A large, curated repository of benchmark datasets for evaluating supervised machine learning algorithms ...

  6. Conformal prediction - Wikipedia

    en.wikipedia.org/wiki/Conformal_prediction

    Conformal prediction (CP) is a machine learning framework for uncertainty quantification that produces statistically valid prediction regions (prediction intervals) for any underlying point predictor (whether statistical, machine, or deep learning) only assuming exchangeability of the data. CP works by computing nonconformity scores on ...

  7. Bitcoin price prediction model running ‘like clockwork’ as ...

    www.aol.com/news/bitcoin-price-prediction-model...

    One of the most notable price prediction models that uses halving cycles as its basis is the Stock-to-Flow (S2F) model created by the pseudonymous Dutch analyst PlanB.

  8. Electricity price forecasting - Wikipedia

    en.wikipedia.org/wiki/Electricity_price_forecasting

    Electricity price forecasting (EPF) is a branch of energy forecasting which focuses on using mathematical, statistical and machine learning models to predict electricity prices in the future. Over the last 30 years electricity price forecasts have become a fundamental input to energy companies’ decision-making mechanisms at the corporate level.

  9. 11 predictions for 2023—from Yahoo Finance readers - AOL

    www.aol.com/finance/11-predictions-2023-yahoo...

    We asked the Yahoo Finance community to tell us what might happen in 2023. You told us to watch 3-D printed houses, shipping stocks, used-car prices—and the metaverse. 11 predictions for 2023 ...