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machinelearning_notebook/0_python
bushuhui f9c8dadc14 Fix some errors, add tips for train deep network 5 years ago
..
1_Basics.ipynb Fix some errors, add tips for train deep network 5 years ago
2_Print_Statement.ipynb Fix some errors, add tips for train deep network 5 years ago
3_Data_Structure_1.ipynb Fix some errors, add tips for train deep network 5 years ago
4_Data_Structure_2.ipynb Fix some errors, add tips for train deep network 5 years ago
5_Control_Flow.ipynb Fix some errors, add tips for train deep network 5 years ago
6_Function.ipynb Fix some errors, add tips for train deep network 5 years ago
7_Class.ipynb Fix some errors, add tips for train deep network 5 years ago
Python.pdf Imporve least squares 6 years ago
README.md Add course introduction, some references, imporve circle dataset 5 years ago

README.md

简明Python教程 （90分钟学会Python）

Python 是一门上手简单、功能强大、通用型的脚本编程语言。Python 类库极其丰富，这使得 Python 几乎无所不能，网站开发、软件开发、大数据分析、网络爬虫、机器学习等都不在话下。Python最主要的优点是使用人类的思考方式来完成大部分的工作，大多数时候使用封装好的库快速完成给定的任务，虽然可能执行的效率不一定很高，但是极大的缩短了程序设计、编写、调试的时间，因此非常适合快速试错。

本教程来自IPython Notebooks to learn Python，将其中部分示例代码转化成Python3。关于Python的按照可以自行去网络上查找相关的资料，或者参考安装Python环境。

内容

  1. Basics
    • Why Python, Zen of Python
    • Variables, Operators, Built-in functions
  2. Print statement
    • Tips of print
  3. Data structure - 1
    • Lists, Tuples, Sets
  4. Data structure - 2
    • Strings, Dictionaries
  5. Control flow
    • if, else, elif, for, while, break, continue
  6. Functions
    • Function define, return, arguments
    • Gloabl and local variables
    • Lambda functions
  7. Class
    • Class define
    • Inheritance

References

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机器学习越来越多应用到飞行器、机器人等领域，其目的是利用计算机实现类似人类的智能，从而实现装备的智能化与无人化。本课程旨在引导学生掌握机器学习的基本知识、典型方法与技术，通过具体的应用案例激发学生对该学科的兴趣，鼓励学生能够从人工智能的角度来分析、解决飞行器、机器人所面临的问题和挑战。本课程主要内容包括Python编程基础，机器学习模型，无监督学习、监督学习、深度学习基础知识与实现，并学习如何利用机器学习解决实际问题，从而全面提升自我的《综合能力》。

Jupyter Notebook SVG Python Text CSV other