Python learning memo for machine learning by Chainer Chapter 7 Regression analysis

What This is an article that summarizes what I noticed and researched when learning machine learning using Chainer. This time, we will study the regression analysis required for machine learning.

It is written based on my understanding, so it may be incorrect. I will correct any mistakes, please forgive me.

Simple regression analysis and multiple regression analysis

What kind of graph is the regression analysis generated from when the data group is given? Analysis to find. Simple regression is when the input / output is one body. To change the story, why do various phenomena follow a normal distribution? I remembered what I thought. Please refer to the following, honestly, I'm not hungry yet, so I will study again. https://goldninjass.hatenablog.com/entry/2016/04/04/152631

Data preprocessing

There seems to be a method called. It seems to be the process of translating the data set so that the average value becomes 0.

Simple regression analysis

The principle is the least squares method.

Multiple regression analysis

Gives one output for multivariable inputs. Basically, a series of simple regression analysis. Since the solution is university mathematics, it is better to explain the exercises.

Comment Learning mathematics went smoothly because I had often heard it once at university. From the next time, I will start learning machine learning by combining Python and mathematics.

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