Statistics Programming Languages

Erlang is a small, concurrency-enabled programming language developed by Ericsson, typically a http://www.aliyun.com/zixun/aggregation/36038.html ">" of a large concurrency-tolerant distributed system System programming language to use. Erlang is a programming language for building large, scalable, soft real-time systems with high availability requirements. Other features include telecommunications, banking, E-commerce, computer telephony, and instant messaging. Erl ...

Why create a Julia programming language? In a word, because we thirst for knowledge, constant pursuit. We have the core users of MATLAB, there are good at Lisp hackers, Pythonistas and rubyists experts also have a lot; In addition, there are some Perl Daniel, some developers used Mathematica before we had a little understanding of the fur. In other words, they understand more than just the fur, more than others, the development of R language. and C language for us is a deserted island. I ...

Introduction: This article explores the development of the Julia Language and its new features. The author thinks that the birth of a new language is bound to set off a new whirlwind, developers in the enjoyment of it to bring fun while also arguing for its existence value, whether Julia can bring new gospel to developers? Let's go into it together: Why create the Julia programming language? In a word, because we thirst for knowledge, constant pursuit. We have the core users of MATLAB, there are good at Lisp hackers, Pythonistas and Ru ...

MapReduce: Simple data processing on large cluster

Which of the following 5 languages are NODE, LUA, Python, Ruby, R, and which will be better applied in the 2014? I don't hesitate to choose R. 　　R is not only 2014, but also the protagonist for a longer period of time. 1. My programming background programmer, Architect, from the beginning of programming to today, has been convinced that Java is the language to change the world, Java has done, and has been very brilliant. But when the world of Java is becoming bigger and larger, when it becomes omnipotent, it is not professional enough for other languages to develop ...

Machine Learning (ML) studies these patterns and encodes human decision processes into algorithms. These algorithms can be applied to several instances to arrive at meaningful conclusions.

With the development and popularity of artificial intelligence technology, Python has surpassed many other programming languages and has become one of the most popular and most commonly used programming languages in the field of machine learning.

As a child, the teacher asked me, what is your ideal? I said it was an engineer, so I grew up to be an engineer. Work for so many years, has been thinking about the meaning of the engineer three words, and finally one day, the original is: the use of technical means to improve the world. So, in terms of software, what are the problems that need to be addressed in the current world? There are some questions to consider: Now the whole world is the degree of informatization is high or low? Is the number of programmers enough? Is the productivity of the software industry high or low? Are most software systems reliable? I want to say that since ...

In 1948, Allen Turing, the father of computer science, and Claude Shannon, the father of information science, independently developed the basic algorithms still used in today's chess programs.

This paper is an excerpt from the book "The Authoritative Guide to Hadoop", published by Tsinghua University Press, which is the author of Tom White, the School of Data Science and engineering, East China Normal University. This book begins with the origins of Hadoop, and integrates theory and practice to introduce Hadoop as an ideal tool for high-performance processing of massive datasets. The book consists of 16 chapters, 3 appendices, covering topics including: Haddoop;mapreduce;hadoop Distributed file system; Hadoop I/O, MapReduce application Open ...