Regression analysis

Regression is the maximum truthful, easy, version of what we call “predictive energy.” When we use a regression evaluation we want to predict the value of a given (continuous) feature based on the values of other features within the facts, assuming a linear or nonlinear model of dependency. Regression strategies are very useful in records technology, and the time period “logistic regression” will appear nearly in every component of the sector. This is in particular the case due to the usefulness and power of neural networks that use a regression-primarily based technique to create complicated capabilities that imitate the functionality of our mind.

    Related Conference of Regression analysis

    November 20-21, 2024

    5th World Congress on Robotics and Automation

    Paris, France

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