學習路程

• Python
  政大 or MIT python都好 後者比較舊但作業比較多
• ML
  先看莫凡 看完再看NTU基礎的 剩下就看要看進階的還是standford的

Basic Concept of Machine Learning

• Morvan莫凡
  • 有趣的機器學習

Machine Learning

• Udacity ud120

Machine Learning + Deep Learning Series

• National Taiwan University - 李宏毅

  • BASIC

    • Machine Learning (2016,Fall)
    • Machine Learning (2017,Spring)
    • Machine Learning (2017,Spring)

  • ADV

    • Machine Learning and having it deep and structured (2017,Spring
    • Machine Learning and having it deep and structured (2017,Fall)
      -

    • National Taiwan University - 林軒田

  • 機器學習基石
  • 機器學習技法

  • Coursera

    • Deep Learning Specialization

• blog

  • Blog
  • 資料科學・機器・人

• GitHub-sjchoi86

  https://github.com/sjchoi86/dl-workshop
  https://github.com/sjchoi86/dl_tutorials
  https://github.com/sjchoi86/Deep-Learning-101
  https://github.com/sjchoi86/dl_tutorials_10weeks
  https://github.com/sjchoi86/dl_tutorials_3rd

• Deep Learning Specialize

  • 網易雲中文版

• Colorado

  • Neural Networks and Deep Learning 2017 Fall

• Book

  • 花書

• Google Brain Hugo Larochelle

  • Mooc.ai

    Visual

• Stanford CS213

  • 2016 Syllabus
  • 2016 Winter

  • 2016 winter 中文版

  • 2017 Syllabus

  • 2017 Spring
  • 2017 winter 中文版

Python

• NCCU

  • Data science with Python

• MIT

  • MIT Python

• Blog

  • saltycrane
  • 30天python雜談

• Effective Python

  • 59 Specific Ways to Write Better Python簡中翻譯
    -Python慣用語&Effective Python

Deep Learning Framework Tutorial

• Tensorflow

  • Tensorflow 官方
  • Tensorflow 中文
  • Tensorflow 中文2
  • Stanford CS20SI - TensorFlow
  • Udacity ud730
  • cognitiveclass.ai
  • learning Tensorflow Web
  • Stanford CS 20
  • Data Camp

• Pytorch

• Keras

  • Data Camp
  • 緯創資通

Tech Paper

• dl_tutorials
• dl_tutorials_10weeks

Deep Learning in practice

• Fast.ai

  • Fast.ai 2018 Course
  • Fast.ai 2017 Course

• Tensorflow

  • Tensorflow 101

• Keras

  • 緯創

• MXNET

  -Gluon
  -Gluon-Github

• Udacity Self-drive

  • self-driving-car

    Concept

    -CapsuleNet
• 李宏毅

Git

• Git

• Online IDE

• repl.it

Online practice

• codewars

Two Minutes Paper

• Two Minute Papers
  雷鋒網也有兩分鐘系列

Leiphone

• Video Collection

Scikit-Learn

-Data Camp

尚未整理

http://open.163.com/special/opencourse/daishu.html

http://www.kaierlong.me/blog/post/kaierlong/%E6%9C%BA%E5%99%A8%E5%AD%A6%E4%B9%A0-%E6%B7%B1%E5%BA%A6%E5%AD%A6%E4%B9%A0%E5%85%AC%E5%BC%80%E8%AF%BE%E6%B1%87%E6%80%BB

Cognitive Class
https://cognitiveclass.ai/
Cognitive Class - IBM Big Data Learn
https://cognitiveclass.ai/learn/big-data/
Cognitive Class - IBM Hadoop Foundations Learn
https://cognitiveclass.ai/learn/hadoop/
Cognitive Class - IBM Data Science Foundations Learn
https://cognitiveclass.ai/learn/data-science/
Cognitive Class - IBM Data Science for Business Learn
https://cognitiveclass.ai/learn/data-science-business/
Cognitive Class - IBM Deep Learning Learn
https://cognitiveclass.ai/learn/deep-learning/

http://dlib.net/ml_guide.svg

http://www.deepideas.net/deep-learning-from-scratch-theory-and-implementation/

https://www.ctolib.com/

http://blog.csdn.net/u011974639/article/details/73196349

https://handong1587.github.io/deep_learning/2015/10/09/object-detection.html#

https://my.oschina.net/hardbone/blog/798552
https://jhui.github.io/

https://developers.google.cn/machine-learning/crash-course/ml-intro