"Reprint" Machine Learning headlines 2015-01-11

Source: Internet
Author: User
Tags dot net

Machine Learning Headlines 2015-01-11January 12, 2015 09:41Machine Learning Headlines 2015-01-11
    • Machine Learning Handbook Elements of machines Learning @ Love Coco-love life
    • Python implementation of random forest @ machine learning the man
    • 88 pages of deep learning Literature Review and Index @ I love machine learning
    • A summary of similarity measurement methods in machine learning @ League of Communities
    • "Data Science at the Command line" @ Love Coco-love life

More content, link clickable extended version see http://memect.co/ml-list-2015-01-11
(29 Latest News + Focus, 15 restudying, 1 comprehend by analogy)


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Love Coco-Love life2015-01-11 20:56 Resource Book free ebook:elements of machine learning HTTP://T.CN/RZXB1C9

The Man of machine learning2015-01-11 17:20 python Integrated learning Python-implemented random forest: Random forest is a highly flexible machine learning method with a wide range of applications, from marketing to healthcare insurance. Can be used to do marketing simulation modeling, statistics of customer sources, retention and loss. can also be used to predict the risk of disease and the patient's ... (Share from @ dot dot net) http://t.cn/RZXhlM7

I love machine learning .2015-01-11 15:30 Deep Learning thesis neural network "Deepin Learning in Neural networks:an Overview" http://t.cn/8ssJn1c This article is well worth reading, Can be more comprehensive understanding of the history of neural networks. panjf1987Forwarded on 2015-01-11 18:21 Super Large index (each page above is more than 10 references), bp,cnn,lstm,reinforcement learning all have, know very well Good Stuff , portal.Forwarded on 2015-01-11 18:34 Well, that's 88 pages.

community of several leagues2015-01-11 13:09 Similarity measure "similarity measure in machine learning, method summary comparison" often needs to estimate the similarity measure between different samples when doing classification, the method is usually used to calculate the "distance" between samples. The method used to calculate the distance is very fastidious, even related to the correct classification. The purpose of this paper is to make a summary of common similarity measurement. Http://t.cn/RZ670I8

Love Coco-Love life2015-01-11 05:51 Resource Book "Are you a sharp weapon today?" "Its prerequisite" is a topic that will never go out of date, for you who are engaged in machine learning and data analysis, it is necessary to turn over the "Data science at the Command Line" book, even if you do not read the content, you should know that awk, AWS, Bigmler, Cat, Cols, Csvcut and other command-line tools, and sometimes between the novice and the master, there is a command line across the Http://t.cn/R76zVJu

"Reprint" Machine Learning headlines 2015-01-11

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