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README.md

Python和机器学习的notebook

本notebook教程包含了一些使用Python来学习机器学习的教程，通过本教程能够引导学习Python的基础知识和机器学习的背景和实际编程。

由于本课程需要大量的编程练习才能取得比较好的学习效果，因此需要认真把作业和报告完成。作业的地址是：https://gitee.com/machinelearning2018/pr_homework 请按照里面的说明进行操作。

内容

  1. Python基础
  2. numpy & matplotlib
  3. kMenas
  4. knn
  5. Logistic Regression
  6. Neural Network
  7. CNN
  8. PyTorch

其他参考

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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