How To Machine Learning

Moderator: I am honored to introduce the first speaker, Professor Zhujianhua from the City University of Hong Kong. I wish teachers in the United States and Hong Kong have a long working experience, for the dissemination of sociology has a deep attainments. The subject of his speech today is a large figure in the eyes of a liberal arts professor. Please。 Zhujianhua: Thank you for the introduction of teacher Zhou, with the current network language, I am a liberal arts man, or an old man of liberal Arts. Most recently, the most impressive thing is Mo Yan's acceptance of the Nobel award, saying that literature is not science and literature is useless. I want to explain that literature is not equal to Uvenko, liberal arts ...

On the afternoon of 27th, in the fifth phase of Baidu's big talk event, three of the most rare technology cafes gathered together, they are Baidu Technology Vice President Wang, Cornell University Creative Robotics Laboratory director Hudi Lipson and MIT Computer and Artificial Intelligence Center Director Danila Rousse. So three world-class technology cafes together, the topic naturally escape the hottest artificial intelligence field, from revealing how the machine like human thinking, how to reproduce themselves, discuss how the robot learned to work, and then have higher intelligence, three people have ...

Start-up company Rare Technologies recently released a hyperscale machine learning benchmark that focuses on GPUs and compares the performance of machine learning costs, ease of use, stability, scalability and performance with several popular hardware providers.

"Editor's note" predicts the future is a very crazy thing, and now the development of enterprise technology is always beyond our imagination. Eric Knorr, InfoWorld's editor-in-chief, predicts that 9 of the big technologies will be in place in 2015 or in the coming years. He believes that open source is the first choice for enterprises to obtain competitive advantage, as a developer should pay attention to technical hotspots, and around the core technology to build a similar docker, Hadoop and other ecosystems. The following is: 1. The public cloud will be successful this year, IaaS and PAAs of the melt ...

Why let Hadoop combine R language? R language and Hadoop let us realize that both technologies are powerful in their respective fields. Many http://www.aliyun.com/zixun/aggregation/7155.html "> developers will ask the following 2 questions at the computer's perspective. 　　The problem 1:hadoop family is so powerful, why do you want to combine R language? Problem 2:mahout can also do data mining and machine learning, ...

Before introducing the microblogging recommendation algorithm, let's talk about recommendation systems and recommended algorithms. There are some questions: what scenarios does the recommendation system apply to? What are the problems and what value are they used to solve? How is the effect measured? The recommendation system was born very early, but was really valued by everyone, originated from the "Facebook" as the representative of the rise of social networks and "Taobao" as the representative of the prosperity of the electric business, "choice" of the era has come, information and items of great wealth, so that users such as the vast universe of small points, at a loss. The recommendation system ushered in an outbreak of opportunity to become closer to the user: fast ...

This article describes ways to perform large data analysis using the R language and similar tools, and to extend large data services in the cloud. In this paper, a kind of digital photo management which is a simple and large data service is analyzed in detail, and the key elements of searching, analyzing and machine learning are applied to the unstructured data. This article focuses on applications that use large data, explains the basic concepts behind large data analysis, and how to combine these concepts with business intelligence (BI) applications and parallel technologies, such as the computer Vision (CV) and ... as described in part 3rd of the Cloud Extensions series.

The following small series summarizes 10 best data mining tools for everyone, which can help you analyze big data from various angles and make correct business decisions through data.

Recently, "Microsoft Innovation Day 2013" event held in Beijing. Activities around the "natural user Interface", "Big Data and machine learning", "cloud computing and mobile technology" and "technology leading product innovation" and other four major themes, showing 21 cutting-edge innovation technology and applications. The following is the Tencent technology for you to select, noteworthy five innovative technologies: 1, based on the Kinect Sign Language translation system based on the Kinect's Sign Language translation system this system based on Microsoft Research in translation and natural language processing, voice and gesture recognition, such as the results of the study ...

December 2014 12-14th, hosted by the China Computer Society (CCF), CCF large data Expert committee, the Chinese Academy of Sciences and CSDN co-organizer of the 2014 China Large Data Technology conference (DA data Marvell Conference 2014,BDTC 2014 will be opened at Crowne Plaza Hotel, New Yunnan, Beijing. The three-day conference aims to promote the development of large data technology in the industry, and to set up "large data Infrastructure" and "large data ..."

"What to think" and "what to eat" the two factions have been in the field of artificial intelligence two classes, two lines of struggle, this struggle is sometimes a life-and-death. Set a vulgar philosophical word, the former partial idealism, the latter biased materialism. Computer field now the most popular word is "depth learning" linguist Steve Pink the theory of neural networks to challenge Turing test to open the field of artificial intelligence in the battle of two routes in the field of artificial intelligence large Neumaichel _ Abib, founded the University of Massachusetts computer department. Since Turing proposed ...

The author of this article, Shesu is Admaster data mining director, Cloud computing practitioners, 10 data warehousing and data mining consulting experience, is focused on the distributed platform of mass data mining and machine learning. The following is the full text of the article: with the Internet, mobile Internet and the development of things, no one can deny that we have effectively ushered in a massive data era, IDC, a data-research firm, expects 2011 data to reach 1.8 trillion GB, and the analysis of these massive data has become a very important and urgent requirement. As an Internet number ...

Are you good with numbers? Obsessed with data? So what you hear is the opportunity to knock on the door. Zhou Mu, Mo Zhou, who had just completed his MBA at Yale last summer, was snatched by IBM and joined the fast-growing data advisor of the technology company. They help companies figure out the meaning of the data explosion web traffic, comments on social networks, and monitoring data on goods, suppliers and customers ' software and sensors to provide decision guides, cut costs, and boost sales. "I've always had a passion for numbers," Miss said. She's a data analyst, this position ...

In the age of mobile interconnection, tens of billions of machines, businesses, individuals will acquire and generate new data anytime, anywhere. Even with the support of Moore's law, which increases the performance of chips by 1 time-fold every 18 months, the pace of hardware performance evolution has long been lagging behind data growth and the gap is growing. Within 1 minutes, Sina Weibo sent tens of thousands of microblogging, Apple App store downloads tens of thousands of times, Taobao sold tens of thousands of items, Baidu produced million search queries ... All of these behaviors are presented by massive amounts of data. On the December 12 of last year's promotional period ...

With hundreds of millions of items stored on ebay, and millions of of new products are added every day, the cloud system is needed to store and process PB-level data, and Hadoop is a good choice. Hadoop is a fault-tolerant, scalable, distributed cloud computing framework built on commercial hardware, and ebay uses Hadoop to build a massive cluster system-athena, which is divided into five layers (as shown in Figure 3-1), starting with the bottom up: 1 The Hadoop core layer, Including Hadoo ...

Scientific rationality and the mysterious cloak of large data--several important viewpoints on large data the basic structure of large data industry chain (data Source: Shanghai Institute of Science and Technology information) The rise of large data concepts has attracted much controversy. Some call it a "new bottle of Old wine," and others argue that the opportunity for big data is exaggerated. In fact, these are related to not really understanding the nature of large data. The development of any thing has its objective law, the big data is not "the Monkey King that jumps out in the stone", it also has its own "biological parents"--computer science and data science. ...

Spark is a cluster computing platform that originated at the University of California, Berkeley Amplab. It is based on memory calculation, from many iterations of batch processing, eclectic data warehouse, flow processing and graph calculation and other computational paradigm, is a rare all-round player. Spark has formally applied to join the Apache incubator, from the "Spark" of the laboratory "" EDM into a large data technology platform for the emergence of the new sharp. This article mainly narrates the design thought of Spark. Spark, as its name shows, is an uncommon "flash" of large data. The specific characteristics are summarized as "light, fast ...

The author describes how to use OpenCV and similar tools for digital video analysis and methods to extend such analysis using cluster and distributed system design. In previous installments, a coprocessor designed specifically for video analysis and new OPENVX hardware acceleration was discussed, which can be applied to the computer Vision (CV) sample provided in this article. This new data-centric CV and video analysis technology requires system designers to rethink application software and system design to meet demanding requirements such as large, public facilities and infrastructure, and a more entertaining ...

To say deep study, you have to mention Geoffrey Hinton. Who is Geoffrey Hinton? Geoffrey Hinton is a leading figure in deep Learning (deep learning) and one of the world's outstanding researchers in the field of machine learning and artificial intelligence. Geoffrey Hinton is a British http://www.aliyun.com/zixun/aggregation/13592.html "> Cambridge University ...

The big data age is making the law ever more powerful, in today's digital age, big data is extremely important, especially for law firms, where legal business may eventually be driven by data, when we can judge whether he or she is a good lawyer through the ability of a lawyer to sift through thousands of potentially relevant cases. With the acquisition of massive amounts of data, analysis is becoming more important. New tools to validate legal information, organize, and even visualize legal information are helping legal workers to gain access to massive court information, as storage becomes cheaper and processors become faster ...