The book explores the dramatic transformation of China's economy and living standards over the past four decades, emphasizing the role of rural populations as key drivers of this change. Wang Feng analyzes the origins and forces behind China's rapid prosperity while also addressing potential challenges that could impact future growth. This perspective shifts the focus from urban centers to the rural areas that have significantly influenced global dynamics.
Build deep learning-powered search systems that you can deploy and manage with ease
Implement neural search systems on the cloud by leveraging Jina design patterns. Key Features include identifying various search techniques and applications of neural search, gaining a solid understanding of vector representation, and unlocking deeper knowledge of Jina for neural search. Search is a crucial and expanding aspect of technology, but traditional methods have inherent limitations. Neural search offers a new approach by utilizing machine learning to retrieve information through vector embeddings, enhancing traditional search results. However, fine-tuning neural search can be complex, requiring an understanding of its various components. Jina addresses this challenge by providing an infrastructure that simplifies the creation of deep learning-powered search engines. This resource teaches the fundamentals of neural networks, their strengths and weaknesses, and how to effectively use Jina to build a search engine. Through step-by-step explanations, practical examples, and self-assessment questions, readers will become proficient in neural search basics and core Jina concepts, enabling them to build their own search engines. By the end, you will be equipped to utilize Jina's neural search design patterns for comprehensive search solutions across multiple modalities. This book is ideal for machine learning, deep learning, or AI engineers interested in creating diverse search systems using modern software architectur
Focusing on the intersection of mathematics and social media, this book introduces a dynamic modeling approach using partial differential equations to analyze information diffusion in online networks. It employs the Laplacian matrix to identify user communities, embedding them in Euclidean space for further analysis. The authors validate their models with Twitter data, exploring significant events like the Egyptian revolution and predicting influenza prevalence. This innovative method proposes a paradigm shift in understanding information flow, offering a foundation for future spatio-temporal modeling in the big-data era.
Authorized by Hanban, HSK Standard Course is developed under the joint efforts of Beijing Language and Culture University Press and Chinese Testing International (CTI). With HSK test papers as its primary source, HSK Standard Course is characterized by a humorous style, familiar topics and a scientific course design. Matching the HSK test in all aspects, from the content, form to the levels, it is a series of new-type course books embodying the idea of ""combining testing and teaching, and promoting learning and teaching by testing"". It is suitable for the Confucius Institutes in different countries as well as other Chinese teaching institutions and self-taught learners.