Hypersurface

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• Fairness Metrics: Fairness metrics are quantitative measures used to evaluate the fairness of machine learning models. These metrics are used to assess whether a model is biased towards certain groups of people based on their race, gender, age, or other prot ... Read More >>
• Kernel Density Estimate: Kernel Density Estimate (KDE) is a non-parametric method used to estimate the probability density function of a random variable. It is a way to estimate the probability density function of a continuous random variable based on a finite data ... Read More >>
• Data Distribution: Data Distribution refers to the way data is spread out or scattered over a given area or range. In Data Science, data distribution is an important concept as it helps in understanding the shape of the data and its characteristics. The distr ... Read More >>