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AI (blog (explained.ai Deep explanations of machine learning and related…
AI
blog
explained.ai
Deep explanations of machine learning and related topics.
How to explain gradient boosting
业内blogs
业内blogs2
DeepLearning-ppt
DP概念元素可视化与实践
图说机器学习
资源网站导航
quora-best-AI-blogs
blogs
Math
矩阵
SVD
概率
信息轮
导数
DS大纲与教学体系
github
动手学习机器学习
Learning from data
sklearn and tensorflow practices
ML
https://github.com/ujjwalkarn/Machine-Learning-Tutorials
tensorfolw:
https://github.com/aymericdamien/TensorFlow-Examples
https://machinelearningmastery.com/start-here/
NLP and deep learning
http://web.stanford.edu/class/cs224n/
https://github.com/adventuresinML/adventures-in-ml-code
https://github.com/pangolulu/rnn-from-scratch
https://github.com/pangolulu/neural-network-from-scratch
NLP
Embedding
word2vec
分层softmax
https://kiddie92.github.io/2019/06/15/%E5%88%86%E5%B1%82softmax/
http://hemingwang.blogspot.com/2019/04/word2vec.html
笔记
https://coggle.it/diagram/XXIxd7Ml_i_-r37F/t/word2vec%E7%AC%94%E8%AE%B0
word2vec 数学原理
http://www.ipaomi.com/2017/09/22/word2vec-%E6%95%B0%E5%AD%A6%E5%8E%9F%E7%90%86/
https://shomy.top/2017/07/28/word2vec-all/
Word2Vec Resources
https://github.com/clulab/nlp-reading-group/wiki/Word2Vec-Resources
word2vec Parameter Learning Explained Xin Rong
ronxin@umich.edu
https://arxiv.org/pdf/1411.2738.pdf
word2vec Parameter Learning Explained 中文
https://blog.csdn.net/lanyu_01/article/details/80097350
CBOW(continuous bag-of-word)模型和SG(skip-gram)模型,以及两种参数优化技术:hierarchical softmax 和 negative sampling.
topic model
LDA
NN
NN系列 简洁可视化解释
AI wiki
模型
优化策略
交叉验证(CV)
*缓存中间数据
使用GridSearchCV
使用适合该问题的模型
组合模型
特征提取
数据工程
[The Data Engineering Cookbook] (
https://andreaskretz.com/
)
ML for everyone
降维