#bigdata analysis

Features:

1. Combine “Excel” and “Probability distribution simulator”

2. Surpass Calculus

3. Attach the software to plot the 3D graph of the joint probability distribution

4. Attach the 178 VBA programs to generate more data

5. Extend to the probability models and statistical models

Probability theory and Statistics:

1. Simulate data from 39 probability distributions

2. Plot Polygon of the probability distribution and calculate the coefficients

3. Simulate data of the joint probability distributions and conditional probability distributions

Surpass Calculus:

1. do the transformations of one random variable

2. do the transformations of two indepedent variables

3. do the transformations of two dependent variables

4. do the transformations of several independent variables

Ebook Video: https://lnkd.in/dkM88Deg

AMAZON .com: https://lnkd.in/dRCzWcVc

Could you tell me that how many possibilities the combination of arcsine distribution and shifted exponential distribution are?

The core of big data and artificial intelligence is the simulator of probability distribution.

#每日一句

#每日一句

看愈多的數據

分析愈多的數據

你愈能累積數據的挖掘力

成為一名專業的數據科學家，你會看到大量的數據。數據特性會有概率模型表現出來，所以你需要認識概率分佈。

我列出常見的45種概率分佈，包含39種連續型概率分佈和6種間斷型概率分佈。但海量的數據未必是45種概率分佈所能涵蓋，數據科學家認識與應用概率分佈需要更加得心應手才是最好的學習方法。

你做不到精確地建立數據的數學模型就是因為一開始選擇不符合數據的模型！而且還無法讓數據自己有選擇！

然後又不能拆解誤差.....也看不到最後數據的數學模型，自然非常不容易達到精確程度。