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bushuhui
1cd32f7db4
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2 years ago | |
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| images | 2 years ago | |
| 1-numpy_tutorial.ipynb | 2 years ago | |
| 1-numpy_tutorial_EN.ipynb | 4 years ago | |
| 2-matplotlib_tutorial.ipynb | 2 years ago | |
| 2-matplotlib_tutorial_EN.ipynb | 4 years ago | |
| 4-scipy_tutorial.ipynb | 2 years ago | |
| 4-scipy_tutorial_EN.ipynb | 4 years ago | |
| 5-sympy_tutorial.ipynb | 2 years ago | |
| 5-sympy_tutorial_EN.ipynb | 4 years ago | |
| README.md | 3 years ago | |
| bokeh_tutorial.ipynb | 2 years ago | |
| example.png | 6 years ago | |
| matplotlib_ani.ipynb | 5 years ago | |
| matplotlib_full.ipynb | 2 years ago | |
| random-matrix.csv | 3 years ago | |
| random-matrix.npy | 2 years ago | |
| stockholm_td_adj.dat | 6 years ago | |
| utils_git.ipynb | 4 years ago | |
| utils_git_advanced.ipynb | 4 years ago | |
| utils_shell.ipynb | 6 years ago | |
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