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advanced-java icon advanced-java

😮 Core Interview Questions & Answers For Experienced Java(Backend) Developers | 互联网 Java 工程师进阶知识完全扫盲：涵盖高并发、分布式、高可用、微服务、海量数据处理等领域知识

ailearning icon ailearning

AiLearning: 机器学习 - MachineLearning - ML、深度学习 - DeepLearning - DL、自然语言处理 NLP

alink icon alink

Alink is the Machine Learning algorithm platform based on Flink, developed by the PAI team of Alibaba computing platform.

chinese-bert-wwm icon chinese-bert-wwm

Pre-Training with Whole Word Masking for Chinese BERT（中文BERT-wwm系列模型）

compileflow icon compileflow

🎨 core business process engine of Alibaba Halo platform, best process engine for trade scenes. | 一个高性能流程编排引擎

ddia icon ddia

《设计数据密集型应用》中文翻译 《Designing Data-Intensive Application》

ddia-1 icon ddia-1

《Designing Data-Intensive Application》DDIA中文翻译

flink-jpmml icon flink-jpmml

flink-jpmml is a fresh-made library for dynamic real time machine learning predictions built on top of PMML standard models and Apache Flink streaming engine

ftlr- icon ftlr-

现在做在线学习和CTR常常会用到逻辑回归（ Logistic Regression），而传统的批量（batch）算法无法有效地处理超大规模的数据集和在线数据流，google先后三年时间（2010年-2013年）从理论研究到实际工程化实现的FTRL（Follow-the-regularized-Leader）算法，在处理诸如逻辑回归之类的带非光滑正则化项（例如1范数，做模型复杂度控制和稀疏化）的凸优化问题上性能非常出色，据闻国内各大互联网公司都第一时间应用到了实际产品中，我们的系统也使用了该算法。这里对FTRL相关发展背景和工程实现的一些指导点做一些介绍，凸优化的理论细节不做详细介绍，感兴趣可以去查阅相应paper，相关paper列表会在文后附上。机器学习并非本人在校时的专业方向，不过在校期间积累的基础不算太差，而且很多东西也是相通的，钻研一下基本意思都还能搞明白。当然，有不准确的地方欢迎大家讨论指正。

go-taireum icon go-taireum

Taireum 一种兼容以太坊的企业级分布式账本与智能合约平台

javafamily icon javafamily

【Java面试+Java学习指南】 一份涵盖大部分Java程序员所需要掌握的核心知识。

leaf icon leaf

Distributed ID Generate Service

nlp-roadmap icon nlp-roadmap

ROADMAP(Mind Map) and KEYWORD for students those who have interest in learning NLP

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