《An Introduction to Deep Learning: From Perceptrons to Deep Networks》 介绍:深度学习概述:从感知机到深度网络,作者对于例子的选择、理论的介绍都很到位,由浅入深。翻译版本:http://www.cnblogs.com/xiaowanyer/p/3701944.html 《The LION Way: Machine Learning plus Intelligent Optimization》 介绍:<机器学习...
Machine learning is a research area of artificial intelligence that enables computers to learn and improve from large datasets without being explicitly programmed. It involves creating algorithms that can analyze patterns in data and generate models for specific tasks, allowing for accurate predictions and...
By Paul Liang (pliang@cs.cmu.edu), Machine Learning Department and Language Technologies Institute, CMU, with help from members of the MultiComp Lab at LTI, CMU. If there are any areas, papers, and datasets I missed, please let me know! Recent Content Social Intelligence in Humans and Rob...
《Machine Learning Summer School 2014》 介绍:2014年七月CMU举办的机器学习夏季课刚刚结束 有近50小时的视频、十多个PDF版幻灯片,覆盖 深度学习,贝叶斯,分布式机器学习,伸缩性 等热点话题。所有13名讲师都是牛人:包括大牛Tom Mitchell (他的[机器学习]是名校的常用教材),还有CMU李沐 .(1080P高清哟) 《Sibyl: ...
Introduction to Deep Learning To learn some of the fundamentals of deep learning: Introduction to Deep Learning 🔗Link to Course CMU Introduction to Deep Learning (11-785) The course starts off gradually from MLPs (Multi Layer Perceptrons) and then progresses into concepts like attention and sequ...
Stanford SPIED - Learning entities from unlabeled text starting with seed sets using patterns in an iterative fashion Stanford Topic Modeling Toolbox - Topic modeling tools to social scientists and others who wish to perform analysis on datasets 推ter Text Java - A Java implementation of 推ter's...
Stanford SPIED - Learning entities from unlabeled text starting with seed sets using patterns in an iterative fashion Stanford Topic Modeling Toolbox - Topic modeling tools to social scientists and others who wish to perform analysis on datasets 推ter Text Java - A Java implementation of 推ter's...
Awesome Machine Learning A curated list of awesome machine learning frameworks, libraries and software (by language). Inspired by awesome-php.If you want to contribute to this list (please do), send me a pull request or contact me @josephmisiti. Also, a listed repository should be deprecated...
Before joining Microsoft, she obtained her master's degree in Electrical and Computer Engineering with a concentration on Machine Learning from Carnegie Mellon University (CMU). Prerna is passionate about machine learning, NLP and deep Reinforcement Learning. Besides work, Prerna enjoys traveling, Zumba...
It makes state of the art machine learning easy to work with and integrate into existing applications. Distributed Machine learning Tool Kit (DMTK) - A distributed machine learning (parameter server) framework by Microsoft. Enables training models on large data sets across multiple machines. Current...