Welcome to our book review site go-pdf.online!
You may have to Search all our reviewed books and magazines, click the sign up button below to create a free account.
Web and Network Data Science
Master modern web and network data modeling: both theory and applications. In Web and Network Data Science, a top faculty member of Northwestern University’s prestigious analytics program presents the first fully-integrated treatment of both the business and academic elements of web and network modeling for predictive analytics. Some books in this field focus either entirely on business issues (e.g., Google Analytics and SEO); others are strictly academic (covering topics such as sociology, complexity theory, ecology, applied physics, and economics). This text gives today's managers and students what they really need: integrated coverage of concepts, principles, and theory in the context of real-world applications. Building on his pioneering Web Analytics course at Northwestern University, Thomas W. Miller covers usability testing, Web site performance, usage analysis, social media platforms, search engine optimization (SEO), and many other topics. He balances this practical coverage with accessible and up-to-date introductions to both social network analysis and network science, demonstrating how these disciplines can be used to solve real business problems.
Modeling Techniques in Predictive Analytics with Python and R
Master predictive analytics, from start to finish Start with strategy and management Master methods and build models Transform your models into highly-effective code—in both Python and R This one-of-a-kind book will help you use predictive analytics, Python, and R to solve real business problems and drive real competitive advantage. You’ll master predictive analytics through realistic case studies, intuitive data visualizations, and up-to-date code for both Python and R—not complex math. Step by step, you’ll walk through defining problems, identifying data, crafting and optimizing models, writing effective Python and R code, interpreting results, and more. Each chapter focuses on one...
Modeling Techniques in Predictive Analytics
To succeed with predictive analytics, you must understand it on three levels: Strategy and management Methods and models Technology and code This up-to-the-minute reference thoroughly covers all three categories. Now fully updated, this uniquely accessible book will help you use predictive analytics to solve real business problems and drive real competitive advantage. If you’re new to the discipline, it will give you the strong foundation you need to get accurate, actionable results. If you’re already a modeler, programmer, or manager, it will teach you crucial skills you don’t yet have. Unlike competitive books, this guide illuminates the discipline through realistic vignettes and int...
China
None
Practical Text Mining and Statistical Analysis for Non-structured Text Data Applications
"The world contains an unimaginably vast amount of digital information which is getting ever vaster ever more rapidly. This makes it possible to do many things that previously could not be done: spot business trends, prevent diseases, combat crime and so on. Managed well, the textual data can be used to unlock new sources of economic value, provide fresh insights into science and hold governments to account. As the Internet expands and our natural capacity to process the unstructured text that it contains diminishes, the value of text mining for information retrieval and search will increase dramatically. This comprehensive professional reference brings together all the information, tools an...
Topics In Enantioselective Catalysis: Recent Achievements And Future Challenges
This book illustrates the broad field of enantioselective catalysis by highlighting a few topics, out of myriads, with the double aim to typify selected synthetic achievements and future challenges. Eleven research groups have highlighted topics of interest in either organo- or organometallic catalysis, related to their own expertise. For mature fields, these short chapters, far from being exhaustive, show updated overviews including major recent advances and disclose a few prospects. Other chapters focus on upcoming topics in enantioselective catalysis, i.e. on classes of reactions or families of catalysts that are expected to provide appealing synthetic tools when suitably mastered. For all these areas, recent studies demonstrate highly promising perspectives.
“Liaozhai” 聊斋志异; Strange Tales from a Chinese Lonely Studio (Complete Translation)
Liaozhai Zhiyi (Liaozhai; Chinese: 聊齋, or 聊齋誌異), called in English Strange Tales from a Chinese Lonely Studio is a collection of Classical Chinese stories by Pu Songling comprising close to five hundred "marvel tales" in the zhiguai and chuanqi styles which serve to implicitly criticise societal issues then. Dating back to the Qing dynasty, its earliest publication date is given as 1740. Since then, many of the critically lauded stories have been adapted for other media such as film and television. The main characters of this book apparently are ghosts, foxes, immortals and demons, but the author focused on the everyday life of commoners. He used the supernatural and the unexplainable to illustrate his ideas of society and government. He criticized the corruption and injustice in society and sympathized with the poor. The book is complete translation of all volumes (Vol. 1 to 12) of Liaozhai.
The Thought of Mou Zongsan
The first thorough study in English of the multi-faceted system of Mou Zongsan, this book examines key influences on the New Confucian thinker and introduces his Kantian- and Mahāyāna Fo-inflected moral metaphysical reading of the Lu-Wang Learning of the Mind.
