某熊周刊系列:一周推荐外文技术资料(2.6)

某熊周刊系列:一周推荐外文技术资料(2.6)归纳于某熊周刊:一周推荐外文技术资料是笔者每周浏览外文技术网站中时发现的不错的文章/项目/书籍/教程的集锦,可以关注笔者的专栏某熊的全栈之路及时获取更新。资讯来源包括但不限于MediumTwitterGoogle PlusRedditHacker NewsDZoneGithub Trending。另外,周刊中的技术知识框架图参照笔者的2016:我的编程知识体系结构。请自备梯子。


技术纵横

编程语言

编程基础

Web

服务端应用程序架构

数据科学与机器学习

  • How Zendesk Serves TensorFlow Models in Production

  • PHP-ML - Machine Learning library for PHP: Fresh approach to Machine Learning in PHP. Algorithms, Cross Validation, Neural Network, Preprocessing, Feature Extraction and much more in one library.

  • DeepCoder: Learning to Write Programs: We develop a first line of attack for solving programming competition-style problems from input-output examples using deep learning. The approach is to train a neural network to predict properties of the program that generated the outputs from the inputs. We use the neural network's predictions to augment search techniques from the programming languages community, including enumerative search and an SMT-based solver. Empirically, we show that our approach leads to an order of magnitude speedup over the strong non-augmented baselines and a Recurrent Neural Network approach, and that we are able to solve problems of difficulty comparable to the simplest problems on programming competition websites.

  • Deep Learning 101 - Part 1: History and Background【Series】: The Deep Learning 101 series is a companion piece to a talk given as part of the Department of Biomedical Informatics @ Harvard Medical School ‘Open Insights’ series. Slides for the talk are available here

  • ML-From-Scratch: Bare bones Python implementations of various Machine Learning models and algorithms.

基础架构

信息安全

移动开发

延伸阅读:

编辑于 2017-02-28

文章被以下专栏收录