《Machine Learning and Probabilistic Graphical Models Course》 介绍:Buffalo大学教授Sargur Srihari的“机器学习和概率图模型”的视频课程 《Understanding Machine Learning: From Theory to Algorithms》 介绍:耶路撒冷希伯来大学教授Shai Shalev-Shwartz和滑铁卢大学教授Shai Ben-David的新书Understanding Machine Learning: F...
《Machine Learning and Probabilistic Graphical Models Course》 介绍:Buffalo大学教授Sargur Srihari的“机器学习和概率图模型”的视频课程 《Understanding Machine Learning: From Theory to Algorithms》 介绍:耶路撒冷希伯来大学教授Shai Shalev-Shwartz和滑铁卢大学教授Shai Ben-David的新书Understanding Machine Learning: F...
转自:机器学习(Machine Learning)&深度学习(Deep Learning)资料《Brief History of Machine Learning》介绍:这是一篇介绍机器学习历史的文章,介绍很全面,从感知机、神经网络、决策树、SVM、Adaboost到随机森林、Deep Le
In this paper, we use a dataset collected from Reddit, containing posts from different sub-Reddits, to extract and interpret meaningful insights using natural language processing techniques followed by supervised machine learning algorithms to build a predictive model to analyze different states of ...
Chris Bishop: So, really, we take a very bottom-up view in that we hire very smart, creative people and give them a lot of flexibility to go and explore the many different frontiers of machine learning. But part of it, too, comes back to this multi-disciplinary approach. So, one of...
Reddit Another great way to keep track of important advancements that have been posted to arXiv and other sources is to keep an eye on the conversations happening within the Machine Learning and Artificial Intelligence sections of the Reddit discussion forum. Readers will find links to recently pub...
Share on Reddit Subscribe to our RSS feed ByTie-Yan Liu,Tao Qin,Bin Shao,Wei Chen, andJiang Bian, Microsoft Research Asia Machine learning is quite hot at present. Technological innovation is a fundamental power behind economic growth. Among these innovations, the most important is what...
3. Reddit的诞生：从被拒绝到成为互联网不可或缺的工具 Reddit的创立背后有着一段颇具传奇色彩的故事。
介绍: Jürgen Schmidhuber在Reddit上的AMA(Ask Me Anything)主题,有不少RNN和AI、ML的干货内容,关于开源&思想&方法&建议……耐心阅读,相信你也会受益匪浅. 《学术种子网站:AcademicTorrents》 介绍: 成G上T的学术数据,HN近期热议话题,主题涉及机器学习、NLP、SNA等。下载最简单的方法,通过BT软件,RSS订阅各集合即可...
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