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How to make rational decisions
The role of biases in decision-making
The impact of social norms on decision-making
The common probability distributions are:
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The process of reduction in the number of dimensions (or feature variables) in datasets is known as Dimensionality Reduction.
If a cube has 1000 points, we can reduce its dimensionality by simply taking the 3D data and viewing it as a 2D model. We can also remove feature variables...
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Based on the concept of probability, Bayesian Statistics computes and analyzes prior data to forecast the future trend. If there is a specific change in the present, the prior data will not reflect that.
Frequency analysis, therefore, is computing the likelihood of a speci...
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Statistics is using math to do technical analysis of data. Instead of guesstimating, data helps us get concrete and factual information.
The most widely used statistical concept in data science is called Statistical Features. It includes important measurements lik...
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In data science, probability is the percent chance that something will happen. A zero(0) in this case means the event will not occur, while the digit 1 denotes that we are certain it will happen.
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A typical data set diagram (box plot) carries a lot of information.
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Sometimes if we want to compare two datasets, or classify datasets that have an uneven number of samples for different sides or types. Just by taking fewer samples (undersampling), one can even out a dataset.
Oversampling is a way to copy datasets to have the same number ...
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Zipf's law is a mathematical probability that states that in a given set, the most frequently used data value (or word) is used twice as often as the next most common value. This is true in various statistical sets like income distribution in companies, internet traffic, phone calls received, and...
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