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AI sub-areas include: Machine Learning (ML), Natural Language Processing (NLP), Deep Learning (DL), Robot Process Automation (RPA), Regression, and more. So what have the AI ??achieved in the past year? After we chatted with 21 professionals, we gathered their insights.

"We have long regarded Microsoft as a major partner because it treats Taiwan the most and makes us, like the US and the rest of the world, in the http://www.aliyun.com/zixun/aggregation/21263.html" > The first time we can get the latest products and technical information, there is no digital gap, to ensure our international competitiveness. Therefore, when choosing a cloud platform, we naturally choose Windows Azure as the first choice. "Michael Ling Egrets ...

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Beijing time December 22, Intel Asia Pacific Management team recently forecast Asia's next year's 6 key trends: first, emerging Asia and the network of people. Ii. Asia brings innovation to the world. Iii. the future of touch and action devices. Iv. goals of Governments in the 2013, education and entrepreneurship. Five, http://www.aliyun.com/zixun/aggregation/9348.html "> Small enterprises Embrace technology. 2013 clouds will sweep the corporate world. Market View ...

The most important algorithm is the neural network, which is not very successful due to overfitting (the model is too powerful, but the data is insufficient). Still, in some more specific tasks, the idea of using data to adapt to functionality has achieved significant success, and this also forms the basis of today's machine learning.

"Everyone is a book, we can only read a few of them before, and now we have the ability to read a whole book." "Cloud computing and large data technology progress and popularization, so that the medical health of the Connaught Xiaofi director of the division, have to say this words of the emboldened." The company is a High-tech enterprise that will use large data in the field of health care, major genomics technology, the three operators settled in Guizhou, Guiyang has also been listed as the focus of technology promotion 1. The discovery of disease faster and earlier in the field of medical care, genomics has great potential, which not only can provide for some diseases ...

Computing is often used to analyze data, while understanding data relies on machine learning. 　　For many years, machine learning has been very remote and elusive to most developers. This is probably one of the most profitable and popular technologies now. 　　No doubt--as a developer, machine learning is a stage that can be a skill. Figure 1: Machine Learning composition machine learning is a reasonable extension of simple data retrieval and storage. 　　By developing a variety of components to make the computer more intelligent learning and behavior. Machine learning makes digging history count ...

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With large data being adopted by more enterprises, the compilation and production language of data processing and analysis algorithms have been widely concerned. and unknowingly, open source statistics language R has become a basic technology for large data scientists and developers. 　　In all programming languages and techniques, popularity has soared. The following is the translation through the integration with the large data processing tools, R provides the depth statistical capability of large datasets, including statistical analysis and data-driven visualization. In industries such as finance, pharmaceuticals, media, and sales, which can directly take decisions from data, R has been applied in depth. ...