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Privacy-Preserving Machine Learning
Keep sensitive user data safe and secure without sacrificing the performance and accuracy of your machine learning models. In Privacy Preserving Machine Learning, you will learn: Privacy considerations in machine learning Differential privacy techniques for machine learning Privacy-preserving synthetic data generation Privacy-enhancing technologies for data mining and database applications Compressive privacy for machine learning Privacy-Preserving Machine Learning is a comprehensive guide to avoiding data breaches in your machine learning projects. You’ll get to grips with modern privacy-enhancing techniques such as differential privacy, compressive privacy, and synthetic data generation....
餐饮天地装潢
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Zhuang Zi
Zhuang Zi is not unknown in the West, but his work is not appreciated nor understood as well as it deserves to be. Perhaps that is not surprising given that his work originates from the Warring States period of ancient China (475–221 bce). Of course, his ideas are sometimes quite abstruse and not as accessible as those of Plato; nor are they suited to the Western preference for linear methods of exposition. But Zhuang Zi does reveal a remarkably sophisticated philosophical outlook; a gentle, if sometimes, provocative humour; and, incidentally, displays and affirms our common humanity despite the passage of over two thousand years. Zhuang Zi writes mainly using allegory and example. The Wes...
Ancient Sichuan and the Unification of China
Recent archaeological finds in China have made possible a reconstruction of the ancient history of Sichauan, the country's most populous province. Excavated artifacts and newly recovered texts can now supplement traditional textual materials. Combing these materials, Sage shows how Sichauan matured from peripheral obscurity to attain central importance in the formation of the Chinese empire during the first millennium B.C.
