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复习 一.Spark 流处理 使用Spark Streaming与我们操作RDD的方式很接近,处理数据流也变得简单了.使用Spark的流处理元素结合MLlib的基于SGD的在线学习能力,可以创建实时的机器学习模型,当数据流到达时实时更新学习模型. [Spark] 04 - What is Spark Streaming [Spark] 05 - Apache Kafka [Spark] 06 - Structured Streaming [Link] http://shartoo.github.…
Candidate Elimination Thanks for Sanketh Vedula. This is a good demo to understand candidate elimination algorithm that I have optimized based on this guy's good work. rika@rika-UX303UB$ ./a.out <Input> Number of Features: <Input> Number of At…
一.CogNet架构 下图,可见Kafka的作用. Partial code: Machine Learning in the Common Infrastructure ecosystem Release doc: http://www.cognet.5g-ppp.eu/wp-content/uploads/2015/08/D3.2_FINAL.pdf…
Machine and statistical learning wizards are becoming more eager to perform analysis with Spark MLlibrary if this is only possible. It’s trendy, posh, spicy and gives the feeling of doing state of the art machine learning and being up to date with th…
https://www.quora.com/How-do-I-learn-machine-learning-1?redirected_qid=6578644   How Can I Learn X? Learning Machine Learning Learning About Computer Science Educational Resources Advice Artificial Intelligence How-to Question Learning New Things Lea…
1.2 [what is machine learning?] 1.人:observation -->  learing  -->  skill 机器:data --> ML --> improved performance measure /skill 2.什么情况下适合使用机器学习: (1)some 'underlying pattern' to be learned (2)not easy(programmable) definition :不是很容易写出一些规则去处理 (3…
https://www.quora.com/How-do-I-learn-mathematics-for-machine-learning   How do I learn mathematics for machine learning? Promoted by Time Doctor Software for productivity tracking. Time tracking and productivity improvement software with screenshots…
An end to end implementation of a Machine Learning pipeline SPANDAN MADAN Visual Computing Group, Harvard University Computer Science and Artificial Intelligence Laboratory, MIT   Link to Github Repo   Section 1. Introduction Background In the fall o…
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我关心的AI.ML的分支领域: 我的博客:Deep Learning 和 Knowledge Graph howto (有关DL&KG的资料都在这里) https://www.cnblogs.com/yaoyaohust/p/10228902.html 重要的链接: AI on the Web http://aima.cs.berkeley.edu/ai.html Best Papers vs. Top Cited Papers in Computer Science (since 1996)…