some resources for machine learning.

数学

• 线性代数
  • https://www.coursera.org/learn/linear-algebra-machine-learning
  • https://ocw.mit.edu/courses/mathematics/18-06-linear-algebra-spring-2010/
• 概率统计
  • https://www.coursera.org/browse/data-science/probability-and-statistics
  • https://towardsdatascience.com/machine-learning-probability-statistics-f830f8c09326?gi=2be670a358fd
  • https://www.amazon.com/Probability-Statistics-Machine-Learning-Fundamentals/dp/1441996338
• 离散数学
  • https://www.coursera.org/specializations/discrete-mathematics
• 复杂系统
  • http://www.oxfordscholarship.com/view/10.1093/acprof:oso/9780199591756.001.0001/acprof-9780199591756
  • http://home.ku.edu.tr/~lkockesen/teaching/econ333/lectnotes/uggame.pdf
  • https://serc.carleton.edu/NAGTWorkshops/complexsystems/introduction.html

计算机基础

• Python
  • https://www.codecademy.com/learn/learn-python
  • https://www.programiz.com/python-programming/tutorial
• 工具
  • https://docs.docker.com/get-started/
  • https://kubernetes.io/docs/concepts/overview/what-is-kubernetes/
• 数据挖掘
  • https://www.coursera.org/specializations/data-mining
• 机器学习
  • https://www.coursera.org/learn/machine-learning
  • http://neuralnetworksanddeeplearning.com/
  • http://web.stanford.edu/class/cs20si/
  • https://pytorch.org/tutorials/
• 区块链
  • https://www.coursera.org/learn/cryptocurrency
  • https://fermatslibrary.com/s/bitcoin
  • http://www.dappuniversity.com/articles/the-ultimate-ethereum-dapp-tutorial
• 论文阅读
  • https://medium.com/@i.oleks/where-to-find-the-latest-machine-learning-papers-f6633168629
  • https://ai.google/research/pubs/pub45648
  • https://arxiv.org/abs/1808.03949
  • Collaborative Learning for Deep Neural Networks
  • Dropout: a simple way to prevent neural networks from overfitting, by Hinton, G.E., Krizhevsky, A., Srivastava, N., Sutskever, I., & Salakhutdinov, R. (2014). Journal of Machine Learning Research, 15, 1929-1958. (cited 2084 times, HIC: 142 , CV: 536).
  • Deep Residual Learning for Image Recognition, by He, K., Ren, S., Sun, J., & Zhang, X. (2016). CoRR, abs/1512.03385. (cited 1436 times, HIC: 137 , CV: 582).
  • Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift, by Sergey Ioffe, Christian Szegedy (2015) ICML. (cited 946 times, HIC: 56 , CV: 0).
  • Large-Scale Video Classification with Convolutional Neural Networks , by Fei-Fei, L., Karpathy, A., Leung, T., Shetty, S., Sukthankar, R., & Toderici, G. (2014). IEEE Conference on Computer Vision and Pattern Recognition (cited 865 times, HIC: 24 , CV: 239)
  • Generative adversarial nets, by Bengio, Y., Courville, A.C., Goodfellow, I.J., Mirza, M., Ozair, S., Pouget-Abadie, J., Warde-Farley, D., & Xu, B. (2014) NIPS. (cited 463 times, HIC: 55 , CV: 0)
  • Scalable Nearest Neighbor Algorithms for High Dimensional Data, by Lowe, D.G., & Muja, M. (2014). IEEE Trans. Pattern Anal. Mach. Intell., (cited 324 times, HIC: 11 , CV: 69).
  • A survey on feature selection methods, by Chandrashekar, G., & Sahin, F. Int. J. on Computers & Electrical Engineering, (cited 279 times, HIC: 1 , CV: 58)