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Random Data Distributions In Machine Learning the data introduce with thousands-, or even millions, of values. You might not have accurate data when you are testing an algorithm, you might have to use randomly created values. As we learn in the previous article on Normal Data Distribution that ...

In Normal Data Distribution we review how to build an array where the values are concentrated over a given value. This kind of data distribution is known as the normal data distribution or the Gaussian data distribution. The mathematician Carl Friedrich Gauss rises with the formula of this data ...

Data Distribution in Machine learning To collect data from the real world is a difficult task because at an early stage of a project the data is not in a limited form it has a broad format. In some previous articles, we have gone through a limited amount of data to explain the concept in different ...

 What is Standard Deviation? Standard deviation is a number that represents how to arrange out the values. A low standard deviation means that most of the numbers are close to the mean value that is the average value. A high standard deviation means that the values are spread out over a ...

Percentiles Percentiles are used in statistics data to provide you a number that expresses the value that a given percent of the values are lower than. Example:We have an array of the ages of all the people that working in same office ages = [25,31,43,48,50,41,39,60,52,32,27,46,47,55] What ...

In Machine Learning (and in mathematics) there are often three values that important  Mean - The standard value Median - The middle value Mode - The the most common value Example: We have registered the roll number of 12 students: Number= [99, 82 87, 81, 82, 102 87, 94, 78, 71, 85, 82 ] What ...

Machine learning is used to build and examine data and statistics. Machine Learning is a proper arrangement of the program that analyses data and learns to predict the conclusion of programs. It is an advanced step into the guidance of artificial intelligence (AI). Points to start Machine learning Under ...