Life Long Programmer's Community Log: 2014

Google: Help Sharpen our Profession Skills We people, strive to improve our profession skills. It's ...

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Google: Help Sharpen our Profession Skills

We people, strive to improve our profession skills. It's a lifelong and tough task. We would appreciate if Google can help on this.

Youtube

Recommend to You(Profession Skill)

Open Course on Youtube or Video for Education

Watch offline if Eligible

Google+

Recommend to You(Profession Skill) - Recommend profession skills related posts to us

"what's hot" and "recommend to you" in community

Allow user to create group and aggregate content from similar communities in G+.

Group similar topics in play newsstand

Google Alters: Job Recommendation

Google: Help Sharpen our Profession Skills

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slideshare: Back to original page after login

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slideshare: Back to original page after login

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Neil Fraser: Writing Computer Science Differential Synchronization (Link->http://ift.tt/1zkld6k...

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Neil Fraser: Writing

Computer Science

Differential Synchronization (Link->http://ift.tt/1ikibtH)

An architecture for collaborative text editing.

Patch (Link->http://ift.tt/1JRNYjb)

Improving the algorithms driving the central tools for version control.

(Link->http://ift.tt/1JRNZUn)

Techniques for preserving cursor locations in collaborative editors.

(Link->http://ift.tt/1zkleXX)

The problems and benefits of programming exception handlers.

(Link->http://ift.tt/1JRO0aB)

A technical document illustrating some of the security pitfalls of virtual hosting.

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Illustrates two of the pitfalls of neural networks.

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Neil Fraser: Writing

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Neil Fraser: Writing: Differential Synchronization Differential synchronization is a symmetrical algorithm...

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Neil Fraser: Writing: Differential Synchronization

Differential synchronization is a symmetrical algorithm employing an unending

cycle of background difference (diff) and patch operations. There

is no requirement that "the chickens stop moving so we can count

them" which plagues server-side three-way merges.

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Done

Neil Fraser: Writing: Differential Synchronization

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图解分布式一致性协议Paxos - loop in codes http://ift.tt/1sM4Kdh Done

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图解分布式一致性协议Paxos - loop in codes

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图解分布式一致性协议Paxos - loop in codes

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Consensus Protocols: Paxos : Paper Trail http://ift.tt/1sYNoYw ...

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Consensus Protocols: Paxos : Paper Trail

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Consensus Protocols: Paxos : Paper Trail

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Why Vector Clocks are Easy | Basho Technologies http://ift.tt/1iJMWYy Done

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Why Vector Clocks are Easy | Basho Technologies

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Done

Why Vector Clocks are Easy | Basho Technologies

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Matt's Blog: MinHash for dummies http://ift.tt/1pPyGyl...

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Matt's Blog: MinHash for dummies

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Matt's Blog: MinHash for dummies

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Enhance Collection Performance with this Treasure Trove - O'Reilly Media http://ift.tt/1zyHu5t...

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Enhance Collection Performance with this Treasure Trove - O'Reilly Media

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Enhance Collection Performance with this Treasure Trove - O'Reilly Media

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Java and Eclipse Plugin Development: UseCompressedOops flag with java Compressed oops is supported and...

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Java and Eclipse Plugin Development: UseCompressedOops flag with java

Compressed oops is supported and enabled by default in Java

SE 6u23 and later. In Java SE 7, use of compressed oops is the default for

64-bit JVM processes when -Xmx isn't specified and for values of -Xmx less than

32 gigabytes. For JDK 6 before the 6u23 release, use the -XX:+UseCompressedOops

flag with the java command to enable the feature.

In summary:

Java version <6u23 - use command to set it.

Java version >=6u23 - by default enabled.

JDK7 - if -xmx not specified or -xmx <32GB =>

configured bydefault

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Done

Java and Eclipse Plugin Development: UseCompressedOops flag with java

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CompressedOops - HotSpot Internals for OpenJDK - Oracle Wiki http://ift.tt/1zU7q9n...

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CompressedOops - HotSpot Internals for OpenJDK - Oracle Wiki

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CompressedOops - HotSpot Internals for OpenJDK - Oracle Wiki

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Jeff Dean facts: How a Google programmer became the Chuck Norris of the Internet. http://www.slate.com...

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Jeff Dean facts: How a Google programmer became the Chuck Norris of the Internet.

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Jeff Dean facts: How a Google programmer became the Chuck Norris of the Internet.

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Reducing memory consumption by 20x – Plumbr http://ift.tt/13Dlcl6...

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Reducing memory consumption by 20x – Plumbr

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Reducing memory consumption by 20x – Plumbr

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性能优化:Trove集合库 - 小毛的胡思乱想 http://ift.tt/1zwFTNF

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性能优化:Trove集合库 - 小毛的胡思乱想

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性能优化:Trove集合库 - 小毛的胡思乱想

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The 3 things you should know about hashCode() « EclipseSource Blog http://ift.tt/1zwFTNu...

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The 3 things you should know about hashCode() « EclipseSource Blog

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The 3 things you should know about hashCode() « EclipseSource Blog

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数学之美系列二十一－布隆过滤器（Bloom Filter） | Acm之家 http://ift.tt/1zwFTx6

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数学之美系列二十一－布隆过滤器（Bloom Filter） | Acm之家

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数学之美系列二十一－布隆过滤器（Bloom Filter） | Acm之家

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文本分类特征选择方法——卡方检验信息增益_园园_新浪博客 http://ift.tt/1zwFV8c

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文本分类特征选择方法——卡方检验信息增益_园园_新浪博客

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文本分类特征选择方法——卡方检验信息增益_园园_新浪博客

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相似文档查找算法之 simHash 简介及其 java 实现 - leejun_2005的个人页面 - 开源中国社区 http://ift.tt/1xhzFR7...

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相似文档查找算法之 simHash 简介及其 java 实现 - leejun_2005的个人页面 - 开源中国社区

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Also check:

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相似文档查找算法之 simHash 简介及其 java 实现 - leejun_2005的个人页面 - 开源中国社区

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SimHash: Hash-based Similarity Detection http://ift.tt/1zwFSZY...

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SimHash: Hash-based Similarity Detection

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http://ift.tt/1zwFSZY

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Algorithm Implementation/Trees/B+ tree - Wikibooks, open books for an open world http://en.wikibooks.org...

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Algorithm Implementation/Trees/B+ tree - Wikibooks, open books for an open world

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Algorithm Implementation/Trees/B+ tree - Wikibooks, open books for an open world

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B+ tree - Wikipedia, the free encyclopedia A B+ tree is an n-ary tree with a variable but often large...

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B+ tree - Wikipedia, the free encyclopedia

A B+ tree is an n-ary tree with a variable but often large number of children per node. A B+ tree consists of a root, internal nodes and leaves. (Link->http://ift.tt/1xK6Dtf)

A B+ tree can be viewed as a B-tree (Link->http://ift.tt/1xK6Bl6) in which each node contains only keys (not key-value pairs), and to which an additional level is added at the bottom with linked leaves.

The primary value of a B+ tree is in storing data for efficient retrieval in a (Link->http://ift.tt/1xK6Bl8) typically on the order of 100 or more), which reduces the number of I/O operations required to find an element in the tree.

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B+ tree - Wikipedia, the free encyclopedia

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B-Tree | Set 1 (Introduction) - GeeksforGeeks The main idea of using B-Trees is to reduce the number...

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B-Tree | Set 1 (Introduction) - GeeksforGeeks

The main idea of using B-Trees is to reduce the number of disk accesses. Most of the tree operations (search, insert, delete, max, min, ..etc ) require O(h) disk accesses where h is height of the tree. B-tree is a fat tree. Height of B-Trees is kept low by putting maximum possible keys in a B-Tree node. Generally, a B-Tree node size is kept equal to the disk block size.

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Done

B-Tree | Set 1 (Introduction) - GeeksforGeeks

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Database System Technology http://ift.tt/1A286uG

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Database System Technology

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Database System Technology

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Does Java pass by reference or pass by value? | JavaWorld Java manipulates objects 'by reference,' but...

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Does Java pass by reference or pass by value? | JavaWorld

Java manipulates objects 'by reference,' but it passes object references to methods 'by value.'" As a result, you cannot write a standard swap method to swap objects

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Does Java pass by reference or pass by value? | JavaWorld

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15 Linux lsof Command Examples (Identify Open Files) http://ift.tt/1wY9ddE...

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15 Linux lsof Command Examples (Identify Open Files)

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15 Linux lsof Command Examples (Identify Open Files)

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All the New Stuff in Android 5.0 Lollipop http://ift.tt/1wzGyvq...

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All the New Stuff in Android 5.0 Lollipop

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All the New Stuff in Android 5.0 Lollipop

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Android 5.0 “Lollipop” Feature Recap – The Best New Features | Droid Life http://ift.tt/N8ZPJZ...

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Android 5.0 “Lollipop” Feature Recap – The Best New Features | Droid Life

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Android 5.0 “Lollipop” Feature Recap – The Best New Features | Droid Life

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Why Enum Singleton are better in Java Singleton using Enum in Java This is the way we generally declare...

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Why Enum Singleton are better in Java

Singleton using Enum in Java

This is the way we generally declare Enum Singleton , it may contain instace variable and instance method but for sake of simplicity I haven’t used any, just beware that if you are using any instance method than you need to ensure thread-safety of that method if at all it affect the state of object. By default creation of Enum instance is thread safe but any other method on Enum is programmers responsibility.

/**

* Singleton pattern example using Java Enumj

*/

public enum EasySingleton{

INSTANCE;

}

You can acess it by EasySingleton.INSTANCE, much easier than calling getInstance() method on Singleton.

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Why Enum Singleton are better in Java

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Different ways to write singleton in Java - Stack Overflow Initialization on Demand Holder (IODH) idiom...

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Different ways to write singleton in Java - Stack Overflow

Initialization on Demand Holder

(IODH) idiom which requires very

little code and has zero

synchronization overhead. Zero, as in

even faster than volatile. IODH

requires the same number of lines of

code as plain old synchronization, and

it's faster than DCL!

IODH utilizes lazy class

initialization. The JVM won't execute

a class's static initializer until you

actually touch something in the class.

This applies to static nested classes,

too. In the following example, the

JLS guarantees (Link->http://ift.tt/1wzGxaU) the JVM will not

initialize instance until someone

calls getInstance():

static class SingletonHolder {

static Singleton instance = new Singleton();

}

public static Singleton getInstance() {

return SingletonHolder.instance;

}

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Different ways to write singleton in Java - Stack Overflow

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Java Singleton Design Pattern Best Practices with Examples http://ift.tt/1GEOcYk...

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Java Singleton Design Pattern Best Practices with Examples

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Java Singleton Design Pattern Best Practices with Examples

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Query by Slice, Parallel Execute, and Join: A Thread Pool Pattern in Java | Java.net https://today.java.net...

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Query by Slice, Parallel Execute, and Join: A Thread Pool Pattern in Java | Java.net

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Query by Slice, Parallel Execute, and Join: A Thread Pool Pattern in Java | Java.net

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Real-time Data Mining with Spark - Steven Skelton's Blog http://ift.tt/13eqnHZ...

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Real-time Data Mining with Spark - Steven Skelton's Blog

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Real-time Data Mining with Spark - Steven Skelton's Blog

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Tutorial: How to build a Tokenizer in Spark and Scala | Knoldus http://ift.tt/1x1kfRl...

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Tutorial: How to build a Tokenizer in Spark and Scala | Knoldus

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Tutorial: How to build a Tokenizer in Spark and Scala | Knoldus

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Feature Extraction and Transformation - MLlib - Spark 1.1.1 Documentation http://ift.tt/13eqpiV...

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Feature Extraction and Transformation - MLlib - Spark 1.1.1 Documentation

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Feature Extraction and Transformation - MLlib - Spark 1.1.1 Documentation

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Oryx首页、文档和下载 - 开源机器学习项目 - 开源中国社区 http://ift.tt/13dTifn

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Oryx首页、文档和下载 - 开源机器学习项目 - 开源中国社区

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Oryx首页、文档和下载 - 开源机器学习项目 - 开源中国社区

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Mahout on Spark: What’s New in Recommenders—Part 2 | MapR http://ift.tt/13dThbx...

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Mahout on Spark: What’s New in Recommenders—Part 2 | MapR

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Mahout on Spark: What’s New in Recommenders—Part 2 | MapR

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Android A to Z: What is fastboot? | Android Central http://ift.tt/ZUvsNI...

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Android A to Z: What is fastboot? | Android Central

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Android A to Z: What is fastboot? | Android Central

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Akka Tutorial with Code: Concurrency and Fault Tolerance | Freelemon's open world http://ift.tt/1vXuTRZ...

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Akka Tutorial with Code: Concurrency and Fault Tolerance | Freelemon's open world

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Akka Tutorial with Code: Concurrency and Fault Tolerance | Freelemon's open world

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JDK 8 3/3 - The Stream API | Software Engineering - David Hartveld http://ift.tt/1307dWd...

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JDK 8 3/3 - The Stream API | Software Engineering - David Hartveld

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JDK 8 3/3 - The Stream API | Software Engineering - David Hartveld

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Java: Using classmexer MemoryUtil to Get Object Deep Memory The Problem In some case, we may want to...

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Java: Using classmexer MemoryUtil to Get Object Deep Memory

The Problem In some case, we may want to get the deep memory usage of one object. For example, in recent project, I developed one Solr request handler which will copy docs from remote solr to local solr. The request looks like this: /solr/core/pulldocs?remo...

Java: Using classmexer MemoryUtil to Get Object Deep Memory

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Class and static Method Reflection example - WikiJava http://ift.tt/1ux87kn...

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Class and static Method Reflection example - WikiJava

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Class and static Method Reflection example - WikiJava

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Salmon Run: Tokenizing Text with ICU4j's RuleBasedBreakIterator http://ift.tt/1wIC1bP...

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Salmon Run: Tokenizing Text with ICU4j's RuleBasedBreakIterator

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Salmon Run: Tokenizing Text with ICU4j's RuleBasedBreakIterator

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Word Boundaries (The Java™ Tutorials > Internationalization > Working with Text) You'll want to create...

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Word Boundaries (The Java™ Tutorials > Internationalization > Working with Text)

You'll want to create such a BreakIterator when your application needs to perform operations on individual words. These operations might be common word- processing functions, such as selecting, cutting, pasting, and copying. Or, your application may search for words, and it must be able to distinguish entire words from simple strings.

When a BreakIterator analyzes word boundaries, it differentiates between words and characters that are not part of words. These characters, which include spaces, tabs, punctuation marks, and most symbols, have word boundaries on both sides.

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Word Boundaries (The Java™ Tutorials > Internationalization > Working with Text)

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Java Internationalization: BreakIterator | Jenkov.com The java.text.BreakIterator class is used to find...

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Java Internationalization: BreakIterator | Jenkov.com

The java.text.BreakIterator class is used to find character, word and sentence boundaries

across different languages. Since different languages use different character, word and sentence boundaries,

it is not enough just to search for space, comma, fullstop, semicolon, colon etc. You need a foolproof

way to search for these boundaries in different languages. The BreakIterator class provides

that.

http://ift.tt/1wIC0Vf

Done

Java Internationalization: BreakIterator | Jenkov.com

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Salmon Run: Finding Temporality of Sentences with TempoWordNet http://ift.tt/1wIC2wp...

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Salmon Run: Finding Temporality of Sentences with TempoWordNet

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Salmon Run: Finding Temporality of Sentences with TempoWordNet

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Eating your own dog food - Wikipedia, the free encyclopedia Dogfooding can be a way for a company to...

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Eating your own dog food - Wikipedia, the free encyclopedia

Dogfooding can be a way for a company to demonstrate confidence in its own products. The idea is that if the company expects customers to buy its products, it should also be willing to use those products. Hence dogfooding can act as a kind of testimonial advertising.

http://ift.tt/o5pEh1

Done

Eating your own dog food - Wikipedia, the free encyclopedia

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Arrays.sort versus Arrays.parallelSort | Java, JVM and beyond http://ift.tt/1sg4VhV...

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Arrays.sort versus Arrays.parallelSort | Java, JVM and beyond

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Arrays.sort versus Arrays.parallelSort | Java, JVM and beyond

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In-order binary tree traversal in Scala. In-order binary tree traversal in Scala. https://gist.github.com...

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In-order binary tree traversal in Scala.

In-order binary tree traversal in Scala.

http://ift.tt/1sg4STk

Done

In-order binary tree traversal in Scala.

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Tree traversal - Rosetta Code http://ift.tt/1sg4VhH

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Tree traversal - Rosetta Code

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Tree traversal - Rosetta Code

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Lecture 18: Fork/Join Parallelism http://ift.tt/1sg4SCI...

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Lecture 18: Fork/Join Parallelism

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Lecture 18: Fork/Join Parallelism

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What's the difference between Free and Available Memory in Windows? http://ift.tt/1vSucOP...

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What's the difference between Free and Available Memory in Windows?

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What's the difference between Free and Available Memory in Windows?

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OutOfMemory, Churn Rate and more - Java Enterprise Performance Book (dynaTrace) http://ift.tt/1vSucyd...

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OutOfMemory, Churn Rate and more - Java Enterprise Performance Book (dynaTrace)

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OutOfMemory, Churn Rate and more - Java Enterprise Performance Book (dynaTrace)

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Java development/profiling tool: Classmexer agent http://ift.tt/1hWMHId

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Java development/profiling tool: Classmexer agent

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Java development/profiling tool: Classmexer agent

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What Heap Dumps Are Lying To You About http://ift.tt/1skwReJ

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What Heap Dumps Are Lying To You About

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What Heap Dumps Are Lying To You About

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memory-measurer - Small tool that can measure the memory footprint of arbitrary java object graphs -...

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memory-measurer - Small tool that can measure the memory footprint of arbitrary java object graphs - Google Project Hosting

http://ift.tt/1skwOjd

memory-measurer - Small tool that can measure the memory footprint of arbitrary java object graphs - Google Project Hosting

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See Your Solr Cache Sizes: Eclipse Memory Analyzer | Java Code Geeks http://ift.tt/1wf0P9a...

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See Your Solr Cache Sizes: Eclipse Memory Analyzer | Java Code Geeks

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See Your Solr Cache Sizes: Eclipse Memory Analyzer | Java Code Geeks

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How to open a mini dump file (mdmp) with WinDbg - Blake Niemyjski - windowscoding.com; http://window...

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How to open a mini dump file (mdmp) with WinDbg - Blake Niemyjski - windowscoding.com ;

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How to open a mini dump file (mdmp) with WinDbg - Blake Niemyjski - windowscoding.com;

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Solr Deep Paging and Sorting Using cursorMark: sort must include a tie-breaker sort on the id field...

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Solr Deep Paging and Sorting

Using cursorMark:

sort must include a tie-breaker sort on the id field. This prevents tie-breaking by internal lucene document id (which can change).

start must be 0 for all calls including a cursorMark.

pass cursorMark=* for the first request.

Solr will return a nextCursorMark in the response. Simply use this value for cursorMark on the next call to continue paging through the results.

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Done

Solr Deep Paging and Sorting

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The Giampo Blog: script to delete recursively all the CVS folders from a directory on Windows http:/...

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The Giampo Blog: script to delete recursively all the CVS folders from a directory on Windows

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The Giampo Blog: script to delete recursively all the CVS folders from a directory on Windows

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Eclipse Debugging Tips: Find which jar containing the class In Eclipse display view: java.security.CodeSource...

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Eclipse Debugging Tips: Find which jar containing the class

In Eclipse display view:

java.security.CodeSource src = org.apache.tika.mime.MediaType.class.getProtectionDomain().getCodeSource();

return src.getLocation();

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Eclipse Debugging Tips: Find which jar containing the class

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Jim McBeath: Scala Operator Cheat Sheet http://ift.tt/1ByAPJa...

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Jim McBeath: Scala Operator Cheat Sheet

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Jim McBeath: Scala Operator Cheat Sheet

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Priority queue - Rosetta Code Scala has a class PriorityQueue in its standard library. (Link->http:...

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Priority queue - Rosetta Code

Scala has a class PriorityQueue in its standard library.

(Link->http://ift.tt/1ByAQwA) scala.collection.mutable.PriorityQueue

(Link->http://ift.tt/1ByAQwA) Ordered[Task] {

(Link->http://ift.tt/1ByAQwA) .prio

}

//test

(Link->http://ift.tt/1ByAQwA) q=PriorityQueue[Task]() ++ Seq(Task(3, "Clear drains"), Task(4, "Feed cat"),

Task(5, "Make tea"), Task(1, "Solve RC tasks"), Task(2, "Tax return"))

(Link->http://ift.tt/1ByAQwA) (q.nonEmpty) println(q dequeue)

http://ift.tt/1AfseXR

Done

Priority queue - Rosetta Code

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Implicit Parameters - Scala Documentation http://ift.tt/11WtfZz...

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Implicit Parameters - Scala Documentation

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Implicit Parameters - Scala Documentation

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Purely functional Priority Queue · Memetic Musings http://ift.tt/1GhRH4Q...

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Purely functional Priority Queue · Memetic Musings

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Purely functional Priority Queue · Memetic Musings

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Effective Scala http://ift.tt/16MB45j

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Effective Scala

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Effective Scala

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Scala Talk - Part 2 Scala achieves the best of both worlds through mixins, or traits. They give the...

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Scala Talk - Part 2

Scala achieves the best of both worlds through mixins, or traits. They give the feel of allowing partial

implementation of interfaces, allowing later classes or traits to implement more or all of the remaining abstract

behavior.

http://ift.tt/1yO93Gf

Done

Scala Talk - Part 2

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Upper Type Bounds - Scala Documentation http://ift.tt/1vAVgi5...

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Upper Type Bounds - Scala Documentation

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Upper Type Bounds - Scala Documentation

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Using Wiktionary to build an Italian part-of-speech tagger | CLiPS http://ift.tt/132Sjz8...

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Using Wiktionary to build an Italian part-of-speech tagger | CLiPS

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Using Wiktionary to build an Italian part-of-speech tagger | CLiPS

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A good POS tagger in about 200 lines of Python « Computational Linguistics http://ift.tt/132SieD...

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A good POS tagger in about 200 lines of Python « Computational Linguistics

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A good POS tagger in about 200 lines of Python « Computational Linguistics

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Debugging Concurrency Issues with OpenJDK Jcstressclone http://ift.tt/1u488uX...

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*Debugging Concurrency Issues with OpenJDK Jcstress*clone

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Done

Debugging Concurrency Issues with OpenJDK Jcstress

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10 Reasons Why Java Rocks More Than Ever: Part 10 – Maturity With Innovation | zeroturnaround.com The...

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10 Reasons Why Java Rocks More Than Ever: Part 10 – Maturity With Innovation | zeroturnaround.com The Java Compiler (Link->http://ift.tt/1u485zf)

The Core API (Link->http://ift.tt/1q7qlfP)

Open-Source (Link->http://ift.tt/1q7qlw5)

The Java Memory Model (Link->http://ift.tt/1q7qlw9)

High-Performance VM (Link->http://ift.tt/1u485zk)

Bytecode (Link->http://ift.tt/1q7qlwd)

Intelligent IDEs (Link->http://ift.tt/1u486mP)

Profiling Tools (Link->http://ift.tt/1u486mT)

Backwards Compatibility (Link->http://ift.tt/1q7qmjH)

(Link->http://ift.tt/1q7qmjH) Maturity With Innovation

http://ift.tt/NmMXGn

Done

10 Reasons Why Java Rocks More Than Ever: Part 10 – Maturity With Innovation | zeroturnaround.com

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*osx - Is there any program or way to make Mac OS X's ⌘-tab behave like Windows' alt-tab? - Super User...

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*osx - Is there any program or way to make Mac OS X's ⌘-tab behave like Windows' alt-tab? - Super User*Use ⌘ Command+Tab to switch between different open applications and ⌘ Command+` (backtick) to switch between multiple open windows of a single program.

http://ift.tt/1u485iR

Done

osx - Is there any program or way to make Mac OS X's ⌘-tab behave like Windows' alt-tab? - Super User

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Concurrency torture: testing your code within the Java Memory Model | zeroturnaround.comcan http:/...

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*Concurrency torture: testing your code within the Java Memory Model | zeroturnaround.com*can

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Done

Concurrency torture: testing your code within the Java Memory Model | zeroturnaround.com

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GDrive: Add natively edit function to raw plain text I am a fan of raw plain text(fast, smaller), always...

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GDrive: Add natively edit function to raw plain text

I am a fan of raw plain text(fast, smaller), always use notepad++ in desktop.

neutrondrive in GDrive is good, but it would be great to edit raw text natively in GDrive.

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DelayQueue http://ift.tt/1tZCnmP

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DelayQueue

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DelayQueue

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Maxim's blog: Caching objects with Guava http://ift.tt/1tYUSHX...

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Maxim's blog: Caching objects with Guava

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Maxim's blog: Caching objects with Guava

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Mike's Site: Mocking with JodaTime's DateTime and Google Guava's Supplier http://ift.tt/1ynjce4...

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Mike's Site: Mocking with JodaTime's DateTime and Google Guava's Supplier

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Mike's Site: Mocking with JodaTime's DateTime and Google Guava's Supplier

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Java Heap Memory vs Stack Memory Difference http://ift.tt/1ykvejr...

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Java Heap Memory vs Stack Memory Difference

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Java Heap Memory vs Stack Memory Difference

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Difference Between Stack and Heap - Java Question http://ift.tt/1I6hy3m...

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Difference Between Stack and Heap - Java Question

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Difference Between Stack and Heap - Java Question

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Optimistic Concurrency Solr Tutorial http://ift.tt/1wA9V1C

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Optimistic Concurrency Solr Tutorial

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Optimistic Concurrency Solr Tutorial

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ETL (Extract-Transform-Load) | Data Integration Info http://ift.tt/1vjtncn

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ETL (Extract-Transform-Load) | Data Integration Info

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ETL (Extract-Transform-Load) | Data Integration Info

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My Productivity Breakthrough: An Introduction to Personal Kanban - Cloud Coach Cloud Coach http://www.cloud...

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My Productivity Breakthrough: An Introduction to Personal Kanban - Cloud Coach Cloud Coach

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My Productivity Breakthrough: An Introduction to Personal Kanban - Cloud Coach Cloud Coach

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Chromebooks taking iPads to school in education market http://ift.tt/1tCwrkc...

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Chromebooks taking iPads to school in education market

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A new IDC report claims that more laptops based on Google's Chrome OS were shipped to schools in the third quarter than Apple's tablets, thanks in no small part to the notebooks' low price.

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Link Calendar event to GMail GMail can reminder us to create one calendar event when it detects some...

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Link Calendar event to GMail

GMail can reminder us to create one calendar event when it detects some event.

Tomorrow at XX, I will call you.

It would be better if we can go to the email directly from the Google Calendar event:

Dynamically add the gmail link like below to Calendar: http://ift.tt/1ydorrC

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Google Guava Cache - Random Thoughts on Coding http://ift.tt/11KZuL7

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Google Guava Cache - Random Thoughts on Coding

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Google Guava Cache - Random Thoughts on Coding

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Feature Request to G+: Type to search and select in Category list in G+ Community

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Feature Request to G+: Type to search and select in Category list in G+ Community

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Feature Request: Chrome: List where we logged in and log out from other machines Chrome sync function...

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*Feature Request: Chrome: List where we logged in and log out from other machines *

Chrome sync function is very useful.

We may log in to chromes in multiple machines, and forget to log out or even forget where we log in.

So it would be great if chrome can list where we have logged in and allow us to log out from other machines.

This will make our Google account safer.

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Reshared post from TechDrive:

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Original Post from TechDrive:

7 Turorial Videos And Playlists On Machine Learning!

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If designing and programming the brain for a robot fantasize you, then 'Machine Learning' is your subject. Here's a list of 7 interesting video tutorials & playlists to help you understand Machine Learning better!

cortana-microsofts-bing-powered-assistant.png

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Apache Spark RDD API Examples http://ift.tt/VhwVSH

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Apache Spark RDD API Examples

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Apache Spark RDD API Examples

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Scala Tutorial – Maps, Sets, groupBy, Options, flatten, flatMap | Java Code Geeks http://ift.tt/A5FkNC...

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Scala Tutorial – Maps, Sets, groupBy, Options, flatten, flatMap | Java Code Geeks

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Scala Tutorial – Maps, Sets, groupBy, Options, flatten, flatMap | Java Code Geeks

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Spark the fastest open source engine for sorting a petabyte – Databricks http://ift.tt/1yXJJLQ...

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Spark the fastest open source engine for sorting a petabyte – Databricks

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Spark the fastest open source engine for sorting a petabyte – Databricks

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What is PriorityQueue or priority queue data structure in Java with Example - Tutorial http://javare...

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What is PriorityQueue or priority queue data structure in Java with Example - Tutorial

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What is PriorityQueue or priority queue data structure in Java with Example - Tutorial

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A simple machine learning app with Spark - Chapeau http://ift.tt/1uzNenq...

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A simple machine learning app with Spark - Chapeau

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A simple machine learning app with Spark - Chapeau

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Major Silicon Valley companies http://ift.tt/15hYYGK...

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Major Silicon Valley companies

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Major Silicon Valley companies

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Spark SQL: Parquet | InfoObjects http://ift.tt/1uXPTe4

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Spark SQL: Parquet | InfoObjects

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Spark SQL: Parquet | InfoObjects

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Correlation Coefficients: Find Pearson's Correlation Coefficient http://ift.tt/158u3MQ...

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Correlation Coefficients: Find Pearson's Correlation Coefficient

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Correlation Coefficients: Find Pearson's Correlation Coefficient

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Pearson Correlation: Definition and Easy Steps for Use http://ift.tt/1uXdjQM...

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Pearson Correlation: Definition and Easy Steps for Use

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Pearson Correlation: Definition and Easy Steps for Use

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Histogram inScala | Big Data Analytics with Spark http://ift.tt/158u3fO...

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Histogram inScala | Big Data Analytics with Spark

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Histogram inScala | Big Data Analytics with Spark

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Histogram in Spark (1) | Big Data Analytics with Spark http://ift.tt/158u3fO...

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Histogram in Spark (1) | Big Data Analytics with Spark

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Statistics With Spark http://ift.tt/1zatGdt

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Statistics With Spark

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Statistics With Spark

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Spark 1.1.0 Basic Statistics（下） | 程序员的自我修养 | 关注Java、大数据、机器学习 http://ift.tt/1zatHy1

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Spark 1.1.0 Basic Statistics（下） | 程序员的自我修养 | 关注Java、大数据、机器学习

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Spark 1.1.0 Basic Statistics（下） | 程序员的自我修养 | 关注Java、大数据、机器学习

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How to convert a Scala array (sequence) to string with mkString | alvinalexander.com http://ift.tt/1hdoFwR...

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How to convert a Scala array (sequence) to string with mkString | alvinalexander.com

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Estimating Financial Risk with Apache Spark | Cloudera Engineering Blog http://ift.tt/1mcTqUr...

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Estimating Financial Risk with Apache Spark | Cloudera Engineering Blog

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Spark Shell Examples – Altiscale Docs

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Spark Shell Examples – Altiscale Docs

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Spark 1.1.0 Basic Statistics（上） | 程序员的自我修养 | 关注Java、大数据、机器学习 http://ift.tt/1z9OLVw

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Spark 1.1.0 Basic Statistics（上） | 程序员的自我修养 | 关注Java、大数据、机器学习

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Spark 1.1.0 Basic Statistics（上） | 程序员的自我修养 | 关注Java、大数据、机器学习

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Understanding Transaction Logs, Soft Commit and Commit in SolrCloud - Lucidworks http://lucidworks.com...

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Understanding Transaction Logs, Soft Commit and Commit in SolrCloud - Lucidworks

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How To Build a Naive Bayes Classifier http://ift.tt/1yzQzae...

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How To Build a Naive Bayes Classifier

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A Programmer's Guide to Data Mining | The Ancient Art of the Numerati http://ift.tt/PsUIrS

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A Programmer's Guide to Data Mining | The Ancient Art of the Numerati

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K-Means++ | 愈宅屋

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Improved Seeding For Clustering With K-Means++ | The Data Science Lab http://ift.tt/1v3d0p4...

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K-means++ - Wikipedia, the free encyclopedia

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K-means++ - Wikipedia, the free encyclopedia

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k-means clustering - Wikipedia, the free encyclopedia

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k-means clustering - Wikipedia, the free encyclopedia

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Support Vector Machines (SVM)

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Support Vector Machines (SVM)

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