[Machine Learning-Xigua Book] Update Challenge [Day1]: 1.1 Introduction

Preface

There is permanence in preciousness, so why sleep at three o'clock and wake up at five o'clock
? The most useless thing is, I'm just afraid of being exposed to cold for ten days in one day.

mind Mapping

This section gives the definition of machine learning through three real-life examples.

Judgment based on experience

1. In the evening, the road is slightly wet, the wind feels gentle, and there is sunset on the horizon. It can be inferred that tomorrow will be a good day.
2. If the watermelon is green in color, has a curled base, and makes a loud sound when knocked, you can infer that it is a ripe melon.
3. If you work hard on your studies, understand the concepts, and do your homework well, your grades will definitely be good.

The above are a few examples in life of people predicting results based on past accumulated experience , but this process is completed by humans, or in other words, by the human brain.

Definition of machine learning

Machine learning is actually a discipline that allows computers to simulate or realize the thinking process of the human brain, that is, a discipline that realizes human learning behavior .

Humans predict results through experience , while computers generate models based on data . Here, the data in the computer corresponds to the experience in life, and the model corresponds to the results.

Machine learning requires input of large amounts of data to learn in order to produce more accurate models.

End of this section.