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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. 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.

4. Predictive modelling - Wikipedia

   en.wikipedia.org/wiki/Predictive_modelling

   Predictive models can be built for different assets like stocks, futures, currencies, commodities etc. [citation needed] Predictive modeling is still extensively used by trading firms to devise strategies and trade. It utilizes mathematically advanced software to evaluate indicators on price, volume, open interest and other historical data, to ...

5. Training, validation, and test data sets - Wikipedia

   en.wikipedia.org/wiki/Training,_validation,_and...

   A training data set is a data set of examples used during the learning process and is used to fit the parameters (e.g., weights) of, for example, a classifier. [9] [10]For classification tasks, a supervised learning algorithm looks at the training data set to determine, or learn, the optimal combinations of variables that will generate a good predictive model. [11]

6. Machine learning - Wikipedia

   en.wikipedia.org/wiki/Machine_learning

   Federated learning is an adapted form of distributed artificial intelligence to training machine learning models that decentralizes the training process, allowing for users' privacy to be maintained by not needing to send their data to a centralized server. This also increases efficiency by decentralizing the training process to many devices.

7. 3 AI Software Stocks to Consider Buying - AOL

   www.aol.com/3-ai-software-stocks-consider...

   In fact, management has said it thinks AI models will eventually be pretty similar, and as such, commoditized. ... Using predictive machine learning, the platform has become a hit with customers.