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Recommended! The machine learning resources compiled by foreign programmers

C + + computer vision ccv-based on C language/provides cache/core machine Vision Library, novel Machine Vision Library opencv-It provides C + +, C, Python, Java and MATLAB interfaces, and supports Windows, Linux, Android and Mac OS operating system. General machine learning Mlpack dlib Ecogg Shark Closure Universal machine learning Closure Toolbox-cloj ...

Initial recommendation mechanism, recommendation engine

With the development of the Internet, it is estimated that most products will encounter the planning of recommendation mechanism. As an Internet product person, you also need to study the core algorithm of the recommendation mechanism, and this article is an article that I've seen that gives you some basic recommendations, and turns around to share the information. It's now in the age of data explosion. , with the development of Web 2.0, the Web has become a platform for data sharing, so it becomes more and more difficult for people to find the information they need in massive amounts of data. In this case, search engine (Goog ...

Guagua:paypal's Hadoop iterative computing framework

How to use large data training risk control mathematical model has always been the challenge of PayPal in the detection of fraud transactions. PayPal has experienced four stages in the training of risk control model: Decision Tree: Early PayPal uses a simple decision tree model, mainly due to the small amount of data in the early model training, the result of the decision tree model is easy to explain. Logistic regression: When PayPal's business is becoming more and more complex, the split-control model is becoming more and more complex, and using logistic regression can easily handle larger data volumes and more features; and PayPal's line ...

Hadoop Tutorial: PayPal's Hadoop Iterative Computing Framework --Guagua

& mathematic model of how to use big data to train risk control has always been PayPal's challenge in cheating transaction detection. PayPal's training in risk control models Roughly through four stages: Decision tree: early PayPal using a simple decision tree model, mainly due to the early model training data is relatively small, the decision tree model results easy ...

Some advice for just learning a friend of Hadoop

When it comes to big data, a lot of people are starting to focus on big data and Hadoop and data mining and data visualization, and I'm starting a business, and I've got a lot of questions about the companies and individuals that have come across a lot of traditional data industries to transition to Hadoop, and most of them are similar.      So I want to sort out some of the issues that may be of concern to many people.   What about the Hadoop version? So far, as a half foot forward to the Hadoop gate, I suggest that you choose the Hadoop 1.x. Many people may say, Had ...

Wikipedia's description of Hadoop (English)

From Wikipedia, the free encyclopediajump to:navigation, Searchapache hadoopdeveloped byapache Software RELEASE0.18.2/3 November 2008; Agowritten injavaoscross-platformt ...

Machine learning, deep learning and AI: What is the difference

The article is about machine learning, deep learning and AI: What is the difference? When it comes to new data processing techniques, we often hear many different terms. Some people say that they are using machine learning, while others call it artificial intelligence.

Big data rise based on cloud

Big Data is the industry's future trend, its momentum has been unstoppable, and Hadoop as a larger distributed computing and storage offline processing cluster representatives, in this year is more red all over the world. Admittedly, big data is becoming an important factor in changing people's lives, and the integration of big data and cloud computing is in full swing. From the quantitative, structural world, to the uncertain, unstructured world. This transformation allows us to understand the real information, improve the level of decision-making, when the community of natural data has a more perfect, ready to analyze the ability, our grasp of the event and the prediction can ...

What are the major data engineers in the United States interview strategy?

Hello everyone, I am from Silicon Valley Dong Fei, at the invitation of domestic friends, very happy to communicate with you about the U.S. Big Data Engineers interview strategy. Personal introduction to do a self-introduction, after the undergraduate Nankai, joined a start-up company Kuxun, do real-time information retrieval, and then enter the Baidu Infrastructure group, built the Baidu APP engine earlier version, and then went to Duke University, in the study, during the master's degree, Starfish, a research project related to Hadoop's big data, and then Amazon ...

Hadoop: From the fledgling little elephant to the industry giant

With its low cost and unprecedented high scalability, Hadoop has been recognized as a new generation of large data-processing platforms. Like the SQL structured Query Language 30 years ago, Hadoop is bringing a new round of data revolutions. Now that Hadoop has turned from a fledgling elephant to an industry giant, Hadoop still needs to be perfected. The Hadoop framework based on Java language is actually a distributed processing large data platform, which includes software and many subprojects. In the last ten years, H ...

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