AI

Good resources I used to use ^^

机器学习coursea课程：AndrewNg https://www.coursera.org/learn/machine-learning#syllabus
机器学习实战（Peter）:https://book.douban.com/subject/24703171/
机器学习（周志华）：https://book.douban.com/subject/26708119/
Tensorflow实战google（才云科技）：https://book.douban.com/subject/26976457/
Tensorflow实战（黄文坚）：https://book.douban.com/subject/26974266/
Python机器学习及实践（范淼/李超）：https://book.douban.com/subject/26886337/
统计学习方法–李航
数学之美
深度学习：www.deeplearningbook.org
PYTHON自然语言处理中文翻译 NLTK 中文版
统计自然语言处理 宗成庆（第二版）
统计自然语言处理基础 苑春法译 (中文版)
numpy:
https://docs.scipy.org/doc/numpy-dev/user/quickstart.html
http://www.yiibai.com/numpy/
http://python.usyiyi.cn/documents/NumPy_v111/reference/index.html
http://www.usyiyi.cn/
python:
http://www.yiibai.com/python/
CN:
http://cwiki.apachecn.org/display/Spark/Index
scipy:
https://docs.scipy.org/doc/scipy/reference/tutorial/index.html
https://www.jianshu.com/p/1a3db06e786d
matplotlib:
https://matplotlib.org/tutorials/index.html
sklearn:
http://scikit-learn.org/stable/modules/classes.html
keras:
http://keras-cn.readthedocs.io/en/latest/preprocessing/text/
pandas:
http://pandas.pydata.org/pandas-docs/stable/api.html
tensorflow:
https://tensorflow.google.cn/get_started/
BAT:
https://ask.julyedu.com/explore/category-5
pycharm
知乎
stackoverflow
CSDN
博客园

Others：
pca in training set/test set
http://scikit-learn.org/stable/auto_examples/applications/plot_face_recognition.html#sphx-glr-auto-examples-applications-plot-face-recognition-py
sklearn do FE
https://www.cnblogs.com/jasonfreak/p/5448385.html
sklearn guideline
https://read.douban.com/column/6939417/?ici=column&icn=column-category
selectkbest in training set/test set
http://scikit-learn.org/stable/auto_examples/text/document_classification_20newsgroups.html#sphx-glr-auto-examples-text-document-classification-20newsgroups-py