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machinelearning_notebook/1_numpy_matplotlib_scipy_sympy
bushuhui fe3fe73c48 Improve python lib tutorials 5 years ago
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1-numpy_tutorial.ipynb Improve python lib tutorials 5 years ago
1-numpy_tutorial_EN.ipynb add Chapter to numpy 5 years ago
2-matplotlib_tutorial.ipynb Improve python lib tutorials 5 years ago
2-matplotlib_tutorial_EN.ipynb Fix link error problems 5 years ago
3-ipython_notebook.ipynb Improve python lib tutorials 5 years ago
3-ipython_notebook_EN.ipynb add Chapter to numpy 5 years ago
4-scipy_tutorial.ipynb Improve python lib tutorials 5 years ago
4-scipy_tutorial_EN.ipynb add Chapter to numpy 5 years ago
5-sympy_tutorial.ipynb Improve python lib tutorials 5 years ago
5-sympy_tutorial_EN.ipynb add Chapter to numpy 5 years ago
README.md Improve README.md, add some description 6 years ago
bokeh_tutorial.ipynb Add some references 6 years ago
example.png Add dnn tips, rearrange dir structures 7 years ago
matplotlib_ani.ipynb Fix some python minor errors 6 years ago
matplotlib_full.ipynb Fix some minor problems 6 years ago
random-matrix.csv Fix some type errors 5 years ago
random-matrix.npy Fix some type errors 5 years ago
stockholm_td_adj.dat Add dnn tips, rearrange dir structures 7 years ago
test.txt Improve python lib tutorials 5 years ago
utils_git.ipynb Improve README.md, add some description 6 years ago
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README.md

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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》。

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