Machine Learning - Normal Data Distribution

正态数据分布（Normal Data Distribution）

在上一章中，我们学习了如何创建给定大小且在两个给定值之间的完全随机数组。

在本章中，我们将学习如何创建一个将值集中在给定值周围的数组。

A cikin ilmin yanci, bayan ana kafa fassarar tafawa na ilimin kimiyya ta matara Karl Friedrich Gauss (Carl Friedrich Gauss), tafawa na tsakiyar tafawa ana kira tafawa na tsakiyar tafawa ko tafawa na Gauss.

Mafi

Dabino tafawa na tsakiyar:

import numpy
import matplotlib.pyplot as plt
x = numpy.random.normal(5.0, 1.0, 100000)
plt.hist(x, 100)
plt.show()

Nata:


A na bincike mafi

Ilimi:Tafawa daga tafawa yana da fassara na kiyashin kiyashin, kuma a kuma ana kira tafawa kiyashin.

Tafawa daga tafawa

A na yin amfani da numpy.random.normal() Hukumar kafa tafawa (da dukiyar 100000) yana da 100 tafawa.

A na bayyana tsakiyar 5.0, dukiyar kuma 1.0.

Iyanda zai iya kasancewa duka a kimanin 5.0, kuma kai tsaye suna iya kasancewa duka daga tsakiyar 1.0.

Dukansu daga dakin tafawa, duka yadda a 4.0 zuwa 6.0 ne, dukiyar uku kai tsaye yana da kimanin 5.0.