Danger! It lurks at every corner. Volcanoes. Sharks. Quicksand. Terrorists. The pilot of the plane blacks out and it's up to you to land the jet. What do you do? "The Worst-Case Scenario Survival Handbook" is here to help: jam-packed with how-to, hands-on, step-by-step, illustrated instructions on everything you need to know FAST-from defusing a bomb to delivering a baby in the back of a cab. Providing frightening and funny real information in the best-selling tradition of the "Paranoid's Pocket Guide" and "Hypochondriac's Handbook, " this indispensable, indestructible pocket-sized guide is the definitive handbook for those times when life takes a sudden turn for the worse. The essential companion for a perilous age. Because you never know...

Modern minimalism with a Japanese touch: Discover Tadao Ando s completely unique aestheticPhilippe Starck describes him as a mystic in a country which is no longer mystic. Drew Philip calls his buildings land art that struggle to emerge from the earth. He is the only architect to have won the discipline s four most prestigious prizes: the Pritzker, Carlsberg, Praemium Imperiale, and Kyoto Prize. His name is Tadao Ando, and he is one of the world s greatest living architects. Combining influences from Japanese tradition with the best of Modernism, Ando has developed a completely unique building aesthetic that makes use of concrete, wood, water, light, space, and nature in a way that has never been witnessed elsewhere in architecture.This book provides the perfect introduction to Ando s work, including private homes, churches, museums, apartment complexes, and cultural spaces throughout Japan, and in France, Italy, Spain, and the USA.About the series: Each book in TASCHEN s Basic Architecture series features: an introduction to the life and work of the architect the major works in chronological order information about the clients, architectural preconditions as well as construction problems and resolutions a list of all the selected works and a map indicating the locations of the best and most famous buildings approximately 120 illustrations (photographs, sketches, drafts and plans)"

VERANDA is where exceptional taste lives. By delivering style, home, garden, entertaining, art, and travel content through a sophisticated, authoritative lens, VERANDA invites a community of design-obsessed readers to escape the mundane with a celebration of the very best in gracious living. Through its access to the world’s most beguiling tastemakers and beautiful homes, Veranda inspires its audience to embrace style that is at once rooted in history and tradition yet redefined for modern life.

最著名世界级名人杂志之一。

Good Housekeeping is your destination for everything from recipes to product reviews to home decor inspiration.

Whisky Advocate magazine is America’s leading spirits publication. Since its inception over 25 years ago, it has been the premier source for information, education, and entertainment for whisky enthusiasts. Whisky Advocate also sponsors WhiskyFest™, the country’s largest and most respected whisky tasting event.

How the history of technological revolutions can help us better understand economic and political polarization in the age of automation
From the Industrial Revolution to the age of artificial intelligence, The Technology Trap takes a sweeping look at the history of technological progress and how it has radically shifted the distribution of economic and political power among society’s members. As Carl Benedikt Frey shows, the Industrial Revolution created unprecedented wealth and prosperity over the long run, but the immediate consequences of mechanization were devastating for large swaths of the population. Middle-income jobs withered, wages stagnated, the labor share of income fell, profits surged, and economic inequality skyrocketed. These trends, Frey documents, broadly mirror those in our current age of automation, which began with the Computer Revolution.
Just as the Industrial Revolution eventually brought about extraordinary benefits for society, artificial intelligence systems have the potential to do the same. But Frey argues that this depends on how the short term is managed. In the nineteenth century, workers violently expressed their concerns over machines taking their jobs. The Luddite uprisings joined a long wave of machinery riots that swept across Europe and China. Today’s despairing middle class has not resorted to physical force, but their frustration has led to rising populism and the increasing fragmentation of society. As middle-class jobs continue to come under pressure, there’s no assurance that positive attitudes to technology will persist.
The Industrial Revolution was a defining moment in history, but few grasped its enormous consequences at the time. The Technology Trap demonstrates that in the midst of another technological revolution, the lessons of the past can help us to more effectively face the present.

该书收录了超过130幅插图，包括达利的著名作品、家乡风景以及他罕见的个人影像资料，从视觉上将达利的艺术生涯和家庭生活紧密地联系在一起，从一个更立体的视角来讲述这位超现实主义艺术大师的画语人生。作者甚至挖掘了达利的童年生活对其艺术创作的有趣影响，强调了达利的家乡西班牙加泰罗尼亚对其造成的深远影响。

Almost half Dalí's illustrations in this book have rarely been seen
This publication presents the entire painted oeuvre of Salvador Dalí (1904-1989). After many years of research, Robert Descharnes and Gilles Néret finally located all the paintings of this highly prolific artist. Many of the works had been inaccessible for years - in fact so many that almost half the illustrations in this book have rarely been seen.

《红字》中讲述的是发生在北美殖民时期的恋爱悲剧。女主人公海丝特·白兰嫁给了医生奇灵渥斯，他们之间却没有爱隋。在孤独中白兰与牧师丁梅斯代尔相恋并生下女儿珠儿。白兰被当众惩罚，戴上标志“通奸”的红色A字示众。然而白兰坚贞不屈，拒不说出孩子的父亲。
The Scarlet Letter, published in 1850, is an American romance novel written by Nathaniel Hawthorne; it is generally considered to be his masterpiece. Set in Puritan New England in the 17th century, the novel tells the story of Hester Prynne, who gives birth after committing adultery, refuses to name the father, and struggles to create a new life of repentance and dignity. Throughout, Hawthorne explores the issues of grace, legalism, and guilt.
Publisher Comments:
Hailed by Henry James as "the finest piece of imaginative writing yet put forth in the country," Nathaniel Hawthorne's The Scarlet Letter reaches to our nation's historical and moral roots for the material of great tragedy. Set in an early New England colony, the novel shows the terrible impact a single, passionate act has on the lives of three members of the community: the defiant Hester Prynne; the fiery, tortured Reverend Dimmesdale; and the obsessed, vengeful Chillingworth.
With The Scarlet Letter, Hawthorne became the first American novelist to forge from our Puritan heritage a universal classic, a masterful exploration of humanity's unending struggle with sin, guilt and pride.
From AudioFile
In the early days of Puritan Boston Hester Prynne braves the stigma of adultery by wearing the embroidered scarlet "A" on her clothing. Hill's reading captures the story's pathos and gives the reader empathy for the characters while clarifying Hawthorne's views. Hill distinctly portrays each character and reads the narration clearly and swiftly. The pace conveys a sense of urgency and breathlessness. After hearing this novel, readers will understand why it continues to be a classic. P.A.J.

Review
'Behind the modest title of 'An Introduction' lies the type of work the field needs to consolidate its learning and move forward to address new challenges. Across the chapters that follow lie both a tour of what the field knows well - a diverse collection of algorithms and approaches to recommendation - and a snapshot of where the field is today as new approaches derived from social computing and the semantic web find their place in the recommender systems toolbox. Let's all hope this worthy effort spurs yet more creativity and innovation to help recommender systems move forward to new heights.' Joseph A. Konstan, from the Foreword
Product Description
In this age of information overload, people use a variety of strategies to make choices about what to buy, how to spend their leisure time, and even whom to date. Recommender systems automate some of these strategies with the goal of providing affordable, personal, and high-quality recommendations. This book offers an overview of approaches to developing state-of-the-art recommender systems. The authors present current algorithmic approaches for generating personalized buying proposals, such as collaborative and content-based filtering, as well as more interactive and knowledge-based approaches. They also discuss how to measure the effectiveness of recommender systems and illustrate the methods with practical case studies. The final chapters cover emerging topics such as recommender systems in the social web and consumer buying behavior theory. Suitable for computer science researchers and students interested in getting an overview of the field, this book will also be useful for professionals looking for the right technology to build real-world recommender systems.

克洛德·莫奈既是印象主义画派的代表人物及创始人之一，也是法国历史上最重要的画家之一。他不关心造型、轮廓和阴影，而是把重心放在了笔触上，以此力图对色彩和自然光线进行细腻而完美的表达。
《西方绘画大师经典佳作 莫奈（高清细节版）》图文并茂地叙述了莫奈的生平与艺术创作经历，共收录莫奈超过100幅最具代表性的作品。这些作品的创作贯穿了他的一生，从初露锋芒的青年时期，到迷恋印象派的中年时期，再到后来艺术升华的中老年时期，以及后花园世界的晚年时期，包括其永垂不朽的《睡莲》、《日本桥》等系列作品。
《西方绘画大师经典佳作 莫奈（高清细节版）》对莫奈及其作品进行了系统性的介绍，阅读本书读者可以领略莫奈画作的无限魅力。书中的图片极其精美，极具观赏性，对读者来说是一场难得的视觉盛宴。本书适合艺术爱好者及各大院校艺术相关专业的学生阅读。

本书由中版集团数字传媒有限公司授权上海阅文信息技术有限公司进行制作与发行
版权所有·侵权必究

人工智能领域正在以超乎人们想象的速度发展，本书赶在人工智能彻底占领世界之前完成编写，实属万幸。
书中收录了超过100道机器学习算法工程师的面试题目和解答，其中大部分源于Hulu算法研究岗位的真实场景。本书从日常工作、生活中各种有趣的现象出发，不仅囊括了机器学习的基本知识 ，而且还包含了成为出众算法工程师的相关技能，更重要的是凝聚了笔者对人工智能领域的一颗热忱之心，旨在培养读者发现问题、解决问题、扩展问题的能力，建立对机器学习的热爱，共绘人工智能世界的宏伟蓝图。
“不积跬步，无以至千里”，本书将从特征工程、模型评估、降维等经典机器学习领域出发，构建一个算法工程师必-备的知识体系；见神经网络、强化学习、生成对抗网络等新科研进展之微，知深度学习领域胜败兴衰之著；“博观而约取，厚积而薄发”，在末一章为读者展示生活中各种引领时代的人工智能应用。

几年前，“数学之美”系列文章原刊载于谷歌黑板报，获得上百万次点击，得到读者高度评价。读者说，读了“数学之美”，才发现大学时学的数学知识，比如马尔可夫链、矩阵计算，甚至余弦函数原来都如此亲切，并且栩栩如生，才发现自然语言和信息处理这么有趣。
在纸本书的创作中，作者吴军博士几乎把所有文章都重写了一遍，为的是把高深的数学原理讲得更加通俗易懂，让非专业读者也能领略数学的魅力。读者通过具体的例子学到的是思考问题的方式 —— 如何化繁为简，如何用数学去解决工程问题，如何跳出固有思维不断去思考创新。
第二版增加了针对大数据和机器学习的内容，以便满足人们对当下技术的学习需求；同时，根据专家和读者的反馈更正了一些错漏，并更新了部分内容。
《数学之美》第一版荣获国家图书馆第八届文津图书奖；
入选广电总局“2014年向全国青少年推荐百种优秀图书书目”；
荣获2012-2013年度全行业优秀畅销书；
《浪潮之巅》、《文明之光》作者吴军博士最新力作，李开复作序推荐，Google黑板报百万点击！
新版增加了大数据和机器学习等最新内容，以满足人们对当下技术的学习需求；同时，根据专家和读者的反馈更正了错漏，并更新了部分内容

The twenty-first century has seen a breathtaking expansion of statistical methodology, both in scope and in influence. 'Big data', 'data science', and 'machine learning' have become familiar terms in the news, as statistical methods are brought to bear upon the enormous data sets of modern science and commerce. How did we get here? And where are we going? This book takes us on an exhilarating journey through the revolution in data analysis following the introduction of electronic computation in the 1950s. Beginning with classical inferential theories - Bayesian, frequentist, Fisherian - individual chapters take up a series of influential topics: survival analysis, logistic regression, empirical Bayes, the jackknife and bootstrap, random forests, neural networks, Markov chain Monte Carlo, inference after model selection, and dozens more. The distinctly modern approach integrates methodology and algorithms with statistical inference. The book ends with speculation on the future direction of statistics and data science.
Clarifies both traditional methods and current, popular algorithms (e.g. neural nets, random forests)
Written by two world-leading researchers
Addressed to all fields that work with data

Data science libraries, frameworks, modules, and toolkits are great for doing data science, but they’re also a good way to dive into the discipline without actually understanding data science. In this book, you’ll learn how many of the most fundamental data science tools and algorithms work by implementing them from scratch.
If you have an aptitude for mathematics and some programming skills, author Joel Grus will help you get comfortable with the math and statistics at the core of data science, and with hacking skills you need to get started as a data scientist. Today’s messy glut of data holds answers to questions no one’s even thought to ask. This book provides you with the know-how to dig those answers out.
Get a crash course in Python
Learn the basics of linear algebra, statistics, and probability—and understand how and when they're used in data science
Collect, explore, clean, munge, and manipulate data
Dive into the fundamentals of machine learning
Implement models such as k-nearest Neighbors, Naive Bayes, linear and logistic regression, decision trees, neural networks, and clustering
Explore recommender systems, natural language processing, network analysis, MapReduce, and databases