machinelearning_notebook/references/References.md

• Notebooks:
• Exercise
• Method
• NN
• k-Means
• AutoEncoder (自编码/非监督学习)

Notebooks:

• machineLearning/10_digits_classification.ipynb
• MachineLearningNotebooks/05.%20Logistic%20Regression.ipynb
• MachineLearningNotebooks/08.%20Practical_NeuralNets.ipynb

Exercise

• http://sofasofa.io/competitions.php?type=practice

• https://www.kaggle.com/competitions

• Titanic: notebooks/data-science-ipython-notebooks/kaggle/titanic.ipynb

Method

• Programming Multiclass Logistic Regression
  notebooks/MachineLearningNotebooks/05.%20Logistic%20Regression.ipynb

• Equation for MLP
  notebooks/MachineLearningNotebooks/07.%20MLP%20Neural%20Networks.ipynb

• Optimization methods
  notebooks/MachineLearningNotebooks/06.%20Optimization.ipynb

• https://github.com/wmpscc/DataMiningNotesAndPractice/blob/master/2.KMeans%E7%AE%97%E6%B3%95%E4%B8%8E%E4%BA%A4%E9%80%9A%E4%BA%8B%E6%95%85%E7%90%86%E8%B5%94%E5%AE%A1%E6%A0%B8%E9%A2%84%E6%B5%8B.md

• evaluation metrics
  http://localhost:8889/notebooks/machineLearning/10_digits_classification.ipynb

• model selection and assessment
  http://localhost:8889/notebooks/machineLearning/notebooks/01%20-%20Model%20Selection%20and%20Assessment.ipynb

NN

• 神经网络——梯度下降&反向传播 https://blog.csdn.net/skullfang/article/details/78634317

• 零基础入门深度学习(3) - 神经网络和反向传播算法 https://www.zybuluo.com/hanbingtao/note/476663

• 如何直观地解释 backpropagation 算法？ https://www.zhihu.com/question/27239198

• 一文弄懂神经网络中的反向传播法——BackPropagation https://www.cnblogs.com/charlotte77/p/5629865.html

• https://medium.com/@UdacityINDIA/how-to-build-your-first-neural-network-with-python-6819c7f65dbf

• https://enlight.nyc/projects/neural-network/

• https://www.python-course.eu/neural_networks_with_python_numpy.php

k-Means

• 如何使用 Keras 实现无监督聚类

AutoEncoder (自编码/非监督学习)

• https://morvanzhou.github.io/tutorials/machine-learning/torch/4-04-autoencoder/
• https://github.com/MorvanZhou/PyTorch-Tutorial/blob/master/tutorial-contents/404_autoencoder.py
• pytorch AutoEncoder 自编码 https://www.jianshu.com/p/f0929f427d03
• Adversarial Autoencoders (with Pytorch) https://blog.paperspace.com/adversarial-autoencoders-with-pytorch/