--- Big Data vernacular reading and Machine Learning

The second chapter of the data into the door

What is Data

It carries something of information

What is the message

Information is used to eliminate the uncertainty of random stuff

 algorithm

In the same algorithm, different parameters and threshold settings will also bring results to differ materially, and even affect the interpretation of scientific data

Chapter permutations with classical probability

1. Classical Probability Model

If a randomized trial included in the unit event (say three times is just up are "precisely positive", "precisely
Anti- "...... which in each case is a unit of the event) it is finite, and the likelihood of each unit of homogeneous events
And the like, then this is called Laplacian randomized trial test, the probability model under such a condition is called classical probability. Classical generally also
Called traditional probability, which is defined by the famous French mathematician Laplace (Laplace) raised.

1. Classical Probability Model

If a randomized trial included in the unit event (say three times is just up are "precisely positive", "precisely
Anti- "...... which in each case is a unit of the event) it is finite, and the likelihood of each unit of homogeneous events
And the like, then this is called Laplacian randomized trial test, the probability model under such a condition is called classical probability. Classical generally also
Called traditional probability, which is defined by the famous French mathematician Laplace (Laplace) raised.

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Origin www.cnblogs.com/zhg-john/p/11639421.html