You can not select more than 25 topics Topics must start with a chinese character,a letter or number, can include dashes ('-') and can be up to 35 characters long.

requirements.txt 1.0 kB

6 years ago
1234567891011121314151617181920212223242526272829303132333435363738394041424344454647484950515253545556
  1. #
  2. # pre-requirements (use python3.5 for better compability)
  3. # sudo apt-get install python3.5 python3.5-dev
  4. # sudo apt-get install python3-tk
  5. #
  6. #
  7. # pip
  8. # sudo apt-get install python-pip python3-pip
  9. # pip install pip -U
  10. # pip config set global.index-url 'https://mirrors.ustc.edu.cn/pypi/web/simple'
  11. #
  12. #
  13. # Install virtualenv
  14. # pip install setuptools
  15. # pip install virtualenv
  16. # pip install virtualenvwrapper
  17. # pip install virtualenvwrapper-win  #Windows使用该命令
  18. #
  19. # Add following lines to `~/.bashrc`
  20. # # virtualenv
  21. # export VIRTUALENVWRAPPER_PYTHON=/usr/bin/python
  22. # export WORKON_HOME=/home/bushuhui/virtualenv
  23. # source /usr/local/bin/virtualenvwrapper.sh 
  24. #
  25. # Usage:
  26. # # create virtual env
  27. # mkvirtualenv --python=/usr/local/python3.5.3/bin/python venv
  28. #
  29. # # active virtual env
  30. # workon venv
  31. #
  32. #
  33. # Install this list packages:
  34. # pip install -r requirements.txt
  35. #
  36. numpy
  37. matplotlib
  38. sklearn
  39. statsmodels
  40. pandas
  41. ipython
  42. jupyter
  43. fire
  44. torchvision
  45. visdom
  46. jieba
  47. ipdb
  48. tqdm
  49. PIL

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》。