The Book That Every Citizen and Journalist Should Read “What this book does better than any single book on media history, ethics, or practice is weave . . . [together] why media audiences have fled and why new technology and megacorporate ownership are putting good journalism at risk.” —Rasmi Simhan, Boston Globe “Kovach and Rosenstiel’s essays on each [element] are concis...(展开全部)

比尔•科瓦齐（Bill Kovach）是热心新闻工作者委员会的主席。他曾任《亚特兰大宪章报》的编辑和《纽约时报》华盛顿分社的社长。 汤姆•罗森斯蒂尔（Tom Rosenstiel）是卓越新闻项目的负责人，曾任《洛杉矶时报》的媒体评论员和《新闻周刊》国会记者团团长。他和科瓦齐合作过两部著作。 本书中译者刘海龙为中国人民大学新闻学院副教授，连晓东为《中国电子报》信息通信版主编。

Following the success of Lean In and Why Women Should Rule the World, the authors of the bestselling Womenomics provide an informative and practical guide to understanding the importance of confidence—and learning how to achieve it—for women of all ages and at all stages of their career. Working women today are better educated and more well qualified than ever before. Yet men s...(展开全部)

Unlike some operating systems, Linux doesn't try to hide the important bits from you—it gives you full control of your computer. But to truly master Linux, you need to understand its internals, like how the system boots, how networking works, and what the kernel actually does. In this completely revised second edition of the perennial best seller How Linux Works, author Brian W...(展开全部)

Unlike some operating systems, Linux doesn't try to hide the important bits from you—it gives you full control of your computer. But to truly master Linux, you need to understand its internals, like how the system boots, how networking works, and what the kernel actually does. In this completely revised second edition of the perennial best seller How Linux Works, author Brian W...(展开全部)

* Do taxes help more than they hurt?* What effect does redistributing wealth have on our economy---and those who participate in its redistribution?* What is the role of government?* How does an economy work?James Gwartney, Richard L. Stroup, and Dwight R. Lee are three of the most prominent economists today, and in Common Sense Economics they show us why economic understanding ...(展开全部)

“The authors tell us what everyone should know about economics in language we can all understand. It’s refreshing when four of the best in the profession avoid the all-too-common practice of writing in a code that only other economists can comprehend.” ---Robert McTeer, former president of the Federal Reserve Bank of Dallas With the global economy recovering from a steep rec...(展开全部)

罗伯托·曼戈贝拉·昂格尔，Reberto Mangabeira Unger，1947— ，巴西社会理论家、法学家、政治家，美国批判法学运动灵魂人物，29 岁成为哈佛大学法学院最年轻的终身教授，著述等身，横跨法学、社会学、哲学、政治学、经济学乃至理论物理学等领域，被誉为 “第三世界走出的哲学天才”“永不疲倦的远见卓识者”，在法学研究中倡导通过法律变革推动社会改革，并身体力行，于 2007 年、2015 年两度出任巴西政府战略事务部部长，在教育、就业与劳动保障等领域制定改革路线，致力于建设更加公平的国民收入分配体制，深度参与人民币国际化、金砖五国银行设立等对华合作事务。

Algorithms have always played an important role in both the science and practice of computing. Beyond traditional computing, the ability to use algorithms to solve real-world problems is an important skill that any developer or programmer must have. This book will help you not only to develop the skills to select and use an algorithm to solve real-world problems but also to understand how it works.You’ll start with an introduction to algorithms and discover various algorithm design techniques, before exploring how to implement different types of algorithms, such as searching and sorting, with the help of practical examples. As you advance to a more complex set of algorithms, you'll learn about linear programming, page ranking, and graphs, and even work with machine learning algorithms, understanding the math and logic behind them. Further on, case studies such as weather prediction, tweet clustering, and movie recommendation engines will show you how to apply these algorithms optimally. Finally, you’ll become well versed in techniques that enable parallel processing, giving you the ability to use these algorithms for compute-intensive tasks.By the end of this book, you'll have become adept at solving real-world computational problems by using a wide range of algorithms.

This is a fascinating, and practical exploration into why the things that make our brains "happy" are not always what we really need. Why do we routinely choose options that don't meet our short term needs and undermine our long-term goals? Why do we insist we're right even when evidence contradicts us? Why are we prone to assigning meaning to statistically common coincidences?...(展开全部)