from The Universal Machine http://universal-machine.blogspot.com/
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Microsoft Windows 7 has not only enhanced its software application but also marketing and customer services. Though resting having established its dominance in computer operating systems, Microsoft shows that it is not on its laurels or planning to relax its grip on the market. Apart from Microsoft Answers, the Q&A technical support launched in December 2008, and Windows 7 Solution Center, Microsoft is offering the new Windows 7 Product Guide which can be downloaded for free.
The 140-page overview provides a detailed and comprehensive guide to users on how to make full use of Windows 7. The product guide is organized into three sections Introduction , Windows 7 for You, and Windows 7 for IT Professionals. It also has an overview of the Microsoft Desktop Optimization Pack which explains how companies can use the applications to manage and optimize their desktop functions.
While the Product Guide serves as a manual, the Windows 7 Solution Center offers troubleshooting tips to fix problems. The tech support website is divided into several categories including installation, upgrading, activation, performance, safety, Internet Explorer, entertainment, etc. Although the features and functions of the latest operating systems get increasingly more sophisticated and advanced, users have no excuse to reject Windows 7 due to ignorance or the lack of familiarity and support.
Download Windows 7 Product Guide from Microsoft Download Centre
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An ENIAC technician changes a valve Wired recently published an article on how Ross Perot decided to rescue ENIAC "one" of the worlds first computers (theyre not strictly speaking correct to call ENIAC "the first" computer). Read about this fascinating story here. |
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Comparison of the DQN agent with the best reinforcement learning methods in the literature. The performance of DQN is normalized with respect to a professional human games tester (100% level) and random play (0% level). Note that the normalized performance of DQN, expressed as a percentage, is calculated as: 100 X (DQN score - random play score)/(human score - random play score). Error bars indicate s.d. across the 30 evaluation episodes, starting with different initial conditions. Figure courtesy of Mnih et al. Human-level control through deep reinforcement learning, Nature 26 Feb. 2015. |
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via Personal Recipe 895909
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Relation extraction in a Spanish sentence using the cross-lingual relation extraction pipeline. |
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