posted @ 2017-11-02 17:46
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https://kubernetes.io/docs/concepts/overview/what-is-kubernetes/ Why do I need Kubernetes and what can it do? At a minimum, Kubernetes can schedule an
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posted @ 2017-11-02 16:37
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https://kubernetes.io/docs/concepts/overview/what-is-kubernetes/ The Old Way to deploy applications was to install the applications on a host using th
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posted @ 2017-11-02 16:33
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selection problem
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posted @ 2017-11-02 15:19
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真实世界的并发编程 https://jyywiki.cn/OS/2022/slides/7.slides#/2/3 高性能计算程序:特点 “A technology that harnesses the power of supercomputers or computer clusters to
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posted @ 2017-11-02 14:53
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编译器的实现 常用C++编译器推荐_w3cschool https://www.w3cschool.cn/cpp/cpp-zxm72ps8.html 常用C++编译器推荐 由 Alma 创建, 最后一次修改 2018-05-15 常用C++编译器推荐 常用C++编译器推荐 由 Alma 创建, 最后
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posted @ 2017-11-02 14:18
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onError: function(e) { let msg = e.toString(); // ReferenceError - JavaScript | MDN https://developer.mozilla.org/zh-CN/docs/Web/JavaScript/Reference/
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posted @ 2017-11-02 11:09
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“统计的思维方式是归纳(induction),也就是从数据所反映的现实得到比较一般的模型,希望以此解释数据所代表的那部分世界。这和以演绎(deduction)问哦主的数学思维方式相反,演绎是在一些人为的假定(或者在一个公理系统)之下,推导出各种结论。”
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posted @ 2017-11-02 10:29
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en.wikipedia.org/wiki/Java_Message_Service Messaging is a form of loosely coupled distributed communication, where in this context the term 'communica
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posted @ 2017-11-02 09:26
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en.wikipedia.org/wiki/Message-oriented_middleware Message-oriented middleware (MOM) is software or hardware infrastructure supporting sending and rece
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posted @ 2017-11-02 09:22
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HDFS 压缩性能最优、扫描速度最快;不支持随机访问,仅支持昂贵、复杂的文件查询 HBase适合随机访问 Solr 适合检索需求 HBase访问单个记录的时间为毫秒级别,而HDFS不支持随机访问。 HBase的扫描速度大约是HDFS的1/10-1/8。 HBase 深入浅出 https://www.
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posted @ 2017-11-02 09:08
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posted @ 2017-11-02 00:12
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posted @ 2017-11-01 23:53
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http://www.site.uottawa.ca/~stan/csi5387/boost-tut-ppr.pdf Boosting is a general method for improving the accuracy of any given learning algorithm. Th
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posted @ 2017-11-01 23:32
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http://math.mit.edu/~rothvoss/18.304.3PM/Presentations/1-Eric-Boosting304FinalRpdf.pdf Consider MIT Admissions 【qualitative quantitative】 • 2-class sy
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posted @ 2017-11-01 21:46
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http://www.cs.toronto.edu/~hinton/absps/transauto6.pdf The artificial neural networks that are used to recognize shapes typically use one or more laye
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posted @ 2017-11-01 16:58
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https://arxiv.org/abs/1710.09829
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posted @ 2017-11-01 16:49
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Empirical_risk_minimization
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posted @ 2017-11-01 16:28
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http://www.cs.toronto.edu/~hinton/science.pdf High-dimensional data can be converted to low-dimensional codes by training a multilayer neural network
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posted @ 2017-11-01 16:08
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https://www.cs.toronto.edu/~hinton/ Geoffrey E. Hinton I am an Engineering Fellow at Google where I manage Brain Team Toronto, which is a new part of
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posted @ 2017-11-01 15:56
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https://www.cs.toronto.edu/~hinton/absps/JMLRdropout.pdf Deep neural nets with a large number of parameters are very powerful machine learning systems
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posted @ 2017-11-01 15:25
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https://cwiki.apache.org/confluence/display/Hive/LanguageManual+LZO LanguageManual LZO LanguageManual LZO LanguageManual LZO Skip to end of metadata C
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posted @ 2017-11-01 00:03
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https://avro.apache.org/docs/current/ Introduction Apache Avro™ is a data serialization system. Avro provides: Rich data structures. A compact, fast,
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posted @ 2017-10-31 23:45
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https://hadoop.apache.org/docs/current/hadoop-project-dist/hadoop-hdfs/ArchivalStorage.html Introduction Archival Storage is a solution to decouple gr
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posted @ 2017-10-31 23:38
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splittability CompressedStorage CompressedStorage CompressedStorage Skip to end of metadata Created by Confluence Administrator, last modified by Left
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posted @ 2017-10-31 23:26
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http://cis.stvincent.edu/html/tutorials/swd/btree/btree.html Introduction A B-tree is a specialized multiway tree designed especially for use on disk.
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posted @ 2017-10-31 21:51
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https://kafka.apache.org/intro.html
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posted @ 2017-10-31 17:03
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https://kafka.apache.org/intro.html Kafka as a Messaging System How does Kafka's notion of streams compare to a traditional enterprise messaging syste
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posted @ 2017-10-31 12:03
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posted @ 2017-10-31 11:22
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posted @ 2017-10-31 11:21
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https://spark.apache.org/sql/ Performance & Scalability Spark SQL includes a cost-based optimizer, columnar storage and code generation to make querie
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posted @ 2017-10-31 00:10
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sparksql hive https://databricks.com/blog/2014/07/01/shark-spark-sql-hive-on-spark-and-the-future-of-sql-on-spark.html https://cwiki.apache.org/conflu
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posted @ 2017-10-30 23:43
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https://github.com/pingcap/tispark/commit/dcca23bfa1aa0c356a4280d82bc8301c0de08318
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posted @ 2017-10-30 20:56
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SQL processing uses the following main components to execute a SQL query: The Parser checks both syntax and semantic analysis. The Optimizer uses cost
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posted @ 2017-10-30 20:01
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https://en.wikipedia.org/wiki/Groovy_(programming_language) Groovy offers simple, consistent syntax for handling lists and maps, reminiscent of Java's
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posted @ 2017-10-30 19:54
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https://docs.oracle.com/javase/tutorial/essential/exceptions/try.html https://docs.oracle.com/javase/8/docs/api/java/lang/AutoCloseable.html An object
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posted @ 2017-10-30 17:20
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ThrowableClass Error (unchecked) Exception IOException (checked) RuntimeException (unchecked)
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posted @ 2017-10-30 14:58
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This is for MyHDFSCat = 18+3
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posted @ 2017-10-30 10:04
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$ wc --helpUsage: wc [OPTION]... [FILE]... or: wc [OPTION]... --files0-from=FPrint newline, word, and byte counts for each FILE, and a total line ifmo
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posted @ 2017-10-29 16:43
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读取标准输入 #include "thread.h" #include "thread-sync.h" int n, count = 0; mutex_t lk = MUTEX_INIT(); void Tproduce() { while (1) { retry: mutex_lock(&lk);
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posted @ 2017-10-29 16:08
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