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.
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
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.
The principle is the least squares method.
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.