But whatever the future of science fiction , It must be the importance of the algorithm that changes everything . Algorithm as the core factor of artificial intelligence , In the future, it will be widely used in all aspects .《 A brief history of future 》 Mentioned in the , The future is the world of algorithms , Except for the sweeper 、 Beyond the assistive robot , In daily life, such as love matching or preference matching , It's all based on Algorithms .
Borrowing algorithm , There will be more and more applications of artificial intelligence , The types of robots will also become complicated , Of course, what's more important is that people's lives will change a lot , Liberate people , Make the division of occupations more distinct .
For example, the workshop now , In the future, with artificial intelligence , Maybe we can realize the unmanned workshop ; Another example is the take away express that we live on now , With AI , Maybe we can also achieve real “ Zero contact ”, Unified by takeout / Express robots come to serve you, etc .
And then someone starts to think , If all the work is replaced by robots , So people are unemployed ？ No more than that. .《 Charlie and the chocolate factory 》 This film provides a good idea ： Charlie's father works as an assembly line worker in a factory , Later, the factory became a robot , His father lost his job , But in the end , Charlie's father changed his mind , Become the maintenance personnel of the maintenance robot .
Maybe we can change our thinking , To be the robot repairer .
Artificial intelligence is a profound knowledge , In order to make it easier for everyone to learn , In this lesson , We turn complexity into simplicity , And combined with the hot “ Eat chicken ” game , To bring you a different course experience , The content of the course is as follows ：
Chapter one An overview of machine learning
1. An overview of artificial intelligence
2. The development of artificial intelligence
3. The main branch of artificial intelligence
4. Machine learning workflow
5. Machine learning algorithm classification
6. Model to evaluate
7.Azure Machine learning model building experiment
8. Introduction to deep learning
Chapter two Machine learning basic environment installation and use
1. The installation of the library
2.jupyter notebook Use
The third chapter Matplotlib
1.Matplotlib And HelloWorld
2. Basic drawing function — Take the line chart for example
3. Common graphic drawing
Chapter four Numpy
1.Numpy The advantages of
2.N Dimension group -ndarray
3. Basic operation
5. Operations between arrays
6. mathematics ： matrix
The fifth chapter Pandas
2.Pandas data structure
3. Basic data operation
6. File reading and storage
7. Advanced processing - Missing value processing
8. Advanced processing - Data discretization
9. Advanced processing - Merge
10. Advanced processing - Crosstabs and PivotTables
11. Advanced processing - Grouping and aggregation
12. Case study
Course ： Artificial intelligence must learn basic courses -7 Machine learning
I wish you all a happy study ~
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