My deep learning reading list 介绍:主要是顺着Bengio的PAMI review的文章找出来的。包括几本综述文章,将近100篇论文,各位山头们的Presentation。全部都可以在google上找到。 Cross-Language Information Retrieval 介绍:这是一本书籍,主要介绍的是跨语言信息检索方面的知识。理论很多 探索推荐引擎内部的秘密,第 1 部...
A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning - EthicalML/awesome-production-machine-learning
My deep learning reading list 介绍:主要是顺着Bengio的PAMI review的文章找出来的。包括几本综述文章,将近100篇论文,各位山头们的Presentation。全部都可以在google上找到。 Cross-Language Information Retrieval 介绍:这是一本书籍,主要介绍的是跨语言信息检索方面的知识。理论很多 探索推荐引擎内部的秘密,第 1 部...
My deep learning reading list 介绍:主要是顺着Bengio的PAMI review的文章找出来的。包括几本综述文章,将近100篇论文,各位山头们的Presentation。全部都可以在google上找到。 Cross-Language Information Retrieval 介绍:这是一本书籍,主要介绍的是跨语言信息检索方面的知识。理论很多 探索推荐引擎内部的秘密,第 1 部分:...
When Probabilities meet Neural Networks (PPT) Presentation at Sinovation DeeCamp & Peking University, July 2018 Topics include: Expectation-Maximization & Matrix Capsule Networks; Determinantal Point Process & Neural Networks compression; Kalman Filter & LSTM; Model estimation & Binary classifier 2018年7月...
Machine learningartificial intelligencebacktest overfittingMost publications in Financial ML seem concerned with forecasting prices. While these are worthy endeavors, Financial ML can offer so much more. In this presentdoi:10.2139/ssrn.3177534Lopez de Prado, Marcos...
In recent years, Machine Learning (ML) has been able to master tasks that until now only a few human experts could perform. Some of the most successful hedge fdoi:10.2139/ssrn.3120557Lopez de Prado, MarcosSocial Science Electronic Publishing...
1.Andrew Ng'sMachine Learning at Coursera 很多人接触的第一个关于机器学习的视频大概就是Andrew Ng的课,入门课,讲的清晰易懂,涉及数学的方面也没有讲的很深奥,基本上都能听懂。如果数学基础差,也可以在网上搜一下这个课程的学习笔记,很多人总结的还是很好的,也很详细。唯一的不好就是这么课的编程语言是Octave...
Towards designing improved cancer immunotherapy targets with a peptide-MHC-I presentation model, HLApollo Computational methods are used to predict which peptides or antigens are able to bind to MHC in order to activate T cell receptors in neoantigen-directed immunotherapies. Here the authors present...
My continuously updated Machine Learning, Probabilistic Models and Deep Learning notes and demos (1000+ slides) 我不间断更新的机器学习,概率模型和深度学习的讲义(1000+页)和视频链接 - xray1111/machine-learning-notes