本文共 3601 字，大约阅读时间需要 12 分钟。

作者：chen_h

微信号 & QQ：862251340 微信公众号：coderpai

---

我把这篇文章分为四个部分：机器学习，NLP，Python 和 数学。我在每一部分都会包含一些关键主题，但是网上资料太广泛了，所以我不可能包括每一个可能的主题。

如果你发现好的教程，请告诉我。在这篇文章中，我把每个主题的教程数量都是控制在五到六个，这些精选出来的教程都是非常重要的。每一个链接都会链接到别的链接，从而导致很多新的教程。

Machine Learning

• (medium.com/@ageitgey)
• Machine Learning Crash Course: , , (Machine Learning at Berkeley)
• (toptal.com)
• (monkeylearn.com)
• (sas.com)

Activation and Loss Functions

• (neuralnetworksanddeeplearning.com)
• (quora.com)
• (stats.stackexchange.com)
• (medium.com)
• (exegetic.biz)
• (Stanford CS231n)
• (rishy.github.io)
• (neuralnetworksanddeeplearning.com)

Bias

• (stackoverflow.com)
• (makeyourownneuralnetwork.blogspot.com)
• (quora.com)

Perceptron

• (neuralnetworksanddeeplearning.com)
• (natureofcode.com)
• (dcu.ie)
• (toptal.com)

Regression

• (duke.edu)
• (ufldl.stanford.edu)
• (readthedocs.io)
• (readthedocs.io)
• (machinelearningmastery.com)
• (machinelearningmastery.com)
• (ufldl.stanford.edu)

Gradient Descent

• (neuralnetworksanddeeplearning.com)
• (iamtrask.github.io)
• (kdnuggets.com)
• (sebastianruder.com)
• (Stanford CS231n)

Generative Learning

• (Stanford CS229)
• (monkeylearn.com)

Support Vector Machines

• (monkeylearn.com)
• (Stanford CS229)
• (Stanford 231n)

Backpropagation

• (medium.com/@karpathy)
• (github.com/rasbt)
• (neuralnetworksanddeeplearning.com)
• (wildml.com)
• (machinelearningmastery.com)
• (Stanford CS231n)

Deep Learning

• (nikhilbuduma.com)
• (Quoc V. Le)
• (machinelearningmastery.com)
• (nvidia.com)

Optimization and Dimensionality Reduction

• (knime.org)
• (Stanford CS229)
• (Hinton @ NIPS 2012)
• (rishy.github.io)

Long Short Term Memory (LSTM)

• (machinelearningmastery.com)
• (colah.github.io)
• (echen.me)
• (iamtrask.github.io)

Convolutional Neural Networks (CNNs)

• (neuralnetworksanddeeplearning.com)
• (medium.com/@ageitgey)
• (colah.github.io)
• (colah.github.io)

Recurrent Neural Nets (RNNs)

• (wildml.com)
• (distill.pub)
• (karpathy.github.io)
• (nikhilbuduma.com)

Reinforcement Learning

• (analyticsvidhya.com)
• (mst.edu)
• (wildml.com)
• (karpathy.github.io)

Generative Adversarial Networks (GANs)

• (nvidia.com)
• (medium.com/@ageitgey)
• (aylien.com)
• (oreilly.com)

Multi-task Learning

• (sebastianruder.com)

NLP

• (Yoav Goldberg)
• (monkeylearn.com)
• (algorithmia.com)
• (vikparuchuri.com)
• (arxiv.org)

Deep Learning and NLP

• (arxiv.org)
• (Richard Socher)
• (wildml.com)
• (colah.github.io)
• (explosion.ai)
• (nvidia.com)
• (pytorich.org)

Word Vectors

• (kaggle.com)
• On word embeddings , , (sebastianruder.com)
• (acolyer.org)
• (arxiv.org)
• Word2Vec Tutorial — , (mccormickml.com)

Encoder-Decoder

• (wildml.com)
• (tensorflow.org)
• (NIPS 2014)
• (medium.com/@ageitgey)
• (machinelearningmastery.com)
• (google.github.io)

Python

• (kdnuggets.com)
• (nbviewer.jupyter.org)

Examples

• (machinelearningmastery.com)
• (wildml.com)
• (iamtrask.github.io)
• (kdnuggets.com)
• (machinelearningmastery.com)
• (machinelearningmastery.com)
• (machinelearningmastery.com)

Scipy and numpy

• (scipy-lectures.org)
• (Stanford CS231n)
• (UCSB CHE210D)
• (nbviewer.jupyter.org)

scikit-learn

• (nbviewer.jupyter.org)
• (github.com/mmmayo13)
• (scikit-learn.org)
• (github.com/mmmayo13)

Tensorflow

• (tensorflow.org)
• (medium.com/@erikhallstrm)
• (metaflow.fr)
• (wildml.com)
• (wildml.com)
• (surmenok.com)

PyTorch

• (pytorch.org)
• (gaurav.im)
• (iamtrask.github.io)
• (github.com/jcjohnson)
• (github.com/MorvanZhou)
• (github.com/yunjey)

Math

• (ucsc.edu)
• (UMIACS CMSC422)

Linear algebra

• (betterexplained.com)
• (betterexplained.com)
• (betterexplained.com)
• (betterexplained.com)
• (U. of Buffalo CSE574)
• (medium.com)
• (Stanford CS229)

Probability

• (betterexplained.com)
• (Stanford CS229)
• (Stanford CS229)
• (U. of Buffalo CSE574)
• (U. of Toronto CSC411)

Calculus

• (betterexplained.com)
• (betterexplained.com)
• (betterexplained.com)
• (Stanford CS224n)
• (readthedocs.io)

---

来源：

转载地址：http://jtdqb.baihongyu.com/