wangwei
/
machinelearning_notebook
Not watched
1
0
Fork 0
Code
Releases 0 Wiki Activity
Issues 0 Pull Requests 0 Datasets Model Cloudbrain
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.
112 Commits
2 Branches
474 MB
2 Download
 
 
 
 
 
 
Tree: fe6cce1ffc
Branches Tags
${ item.name }
Create branch ${ searchTerm }
from 'fe6cce1ffc'
${ noResults }
machinelearning_notebook/tips/cheatsheet
bushuhui 58fb04b491 Improve requirements 6 years ago
..
All Cheat Sheets.pdf Add some cheat sheets 7 years ago
Bokeh.pdf Add bokeh cheatsheet 7 years ago
Deep Learning Cheat Sheet-Hacker Noon.pdf Add some cheat sheets 7 years ago
Keras.jpg Add some cheat sheets 7 years ago
Matplotlib.png Add some cheat sheets 7 years ago
Neural Network Cells.png Add some cheat sheets 7 years ago
Neural Network Graphs.png Add some cheat sheets 7 years ago
Neural Networks Zoo.png Add some cheat sheets 7 years ago
Numpy.png Add some cheat sheets 7 years ago
Pandas-1.jpg Add some cheat sheets 7 years ago
Pandas-2.jpg Add some cheat sheets 7 years ago
Pandas-3.png Add some cheat sheets 7 years ago
README.md Add some cheat sheets 7 years ago
Scikit Learn.pdf Improve requirements 6 years ago
Scikit Learn.png Add some cheat sheets 7 years ago
Scipy.png Add some cheat sheets 7 years ago
Seaborn.pdf Add some cheat sheets 7 years ago
conda.pdf Add Intro to Deep Learning 7 years ago
python3.pdf Add some cheat sheets 7 years ago

README.md

Delete task

Are you sure you want to delete this task? Once this task is deleted, it cannot be recovered.

cancel
confirm

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 CSV Text other