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Common algorithms

I. HMM and CRF related

1. Total difference: https://www.zhihu.com/question/35866596

2. "Thesis" https://www.zhihu.com/question/20078729

Second, the characteristics of the project

1. General overview of an article: http://weibo.com/p/1001593872942714153228

2. A very comprehensive piece of http://blog.csdn.net/jasonding1354/article/details/47171115

3. Feature Extraction Http://appliedpredictivemodeling.com/blog/2015/7/28/feature-engineering-versus-feature-extraction

4. Related information: https://www.zhihu.com/question/29316149

5. "Others collection" Http://prml.me/stds/topic/index/id/41

Third, the data distribution tilt

1. "Eight strategies to address the classification of unbalanced data sets" http://machinelearningmastery.com/ tactics-to-combat-imbalanced-classes-in-your-machine-learning-dataset/

2. "Machine learning under uneven positive and negative sample distribution"http://ml.memect.com/remix/3777228405757024.html

3.https://www.quora.com/in-classification-how-do-you-handle-an-unbalanced-training-set

4. Practical Guide to deal with imbalanced classification problems in R: http://t.cn/RqzAtHU?u=1402400261&m= 3977454739175021&cu=1980029427&ru=1402400261&rm=3958006066937367

Iv. Word Embedding

1.http://mp.weixin.qq.com/s?__biz=mzaxmzu5mtq5ma==&mid=208173897&idx=1&sn= 2fa4d667846eff2f0782a4d5236eb7ee#rd

V. Named entities

1. Method overview, Abstract: http://blog.csdn.net/cuixianpeng/article/details/18084807

2.http://hanlp.linrunsoft.com/doc/_build/html/ner.html

Six. New word Discovery

1. "Matrix67 blog " http://www.csdn.net/article/2013-05-08/2815186

Seven, neural network

1.http://pan.baidu.com/s/1hs11xqw

Vi. Deep Learning

1. Stanford deep Learning for natural language processing Open class: Http://cs224d.stanford.edu/syllabus.html

2. Apply to Text: http://blog.dato.com/practical-text-analysis-using-deep-learning

3.rbm:http://vdisk.weibo.com/s/drxvp-i4y6chc?from=page_100505_profile&wvr=6

4.http://t.cn/rqpdeje?u=3390189710&m=3967733445864858&cu=1980029427&ru=1402400261&rm= 3967704509053002

VII. Special Session of PRML

1.http://www.52nlp.cn/category/pattern-recognition-and-machine-learning-2

2. "Priority" Http://www.52nlp.cn/prml%E8%AF%BB%E4%B9%A6%E4%BC%9A%E7%AC%AC%E4%B9%9D%E7%AB%A0-mixture-models-and-em

Eight, gossip

1. "2015 Machine Learning Award Ceremony" http://dataunion.org/21807.html

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