[machine learning watermelon book] update challenge [Day1]: 1.1 INTRODUCTION

Preface

Expensive and constant , Why sleep at three o'clock and rise at five o'clock
The least beneficial , I'm afraid I'll be exposed to the cold for ten days in one day

Mind mapping

This section adopts 3 A life example , The definition of machine learning is given .

Judgment based on experience

1. The road is slightly wet in the evening 、 Feel the gentle wind 、 There is a sunset glow in the sky , It can be inferred that tomorrow will be a fine day
2. Watermelon is green in color 、 Root curl 、 A loud knock , It can be inferred that it is a good ripe melon
3. I have made great efforts in my study 、 Figured out the concept 、 Finished the homework , Then the result must not be bad

These are a few people in life Predict the result according to the experience accumulated in the past Example , But this process is completed by people , Or it is done by the human brain .

Definition of machine learning

Machine learning is actually a subject that allows computers to simulate or realize the thinking process of the human brain , That is to achieve Human learning behavior The subject of .

Man passes through Experience Anticipation result , The computer is based on data produce Model . here , The data in the computer corresponds to the experience in life , The model corresponds to the result .

Machine learning needs to input a large amount of data to learn , To produce a more accurate model .

At the end of this section .