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Feature Engineering for Machine Learning
Feature engineering is a crucial step in the machine-learning pipeline, yet this topic is rarely examined on its own. With this practical book, you’ll learn techniques for extracting and transforming features—the numeric representations of raw data—into formats for machine-learning models. Each chapter guides you through a single data problem, such as how to represent text or image data. Together, these examples illustrate the main principles of feature engineering. Rather than simply teach these principles, authors Alice Zheng and Amanda Casari focus on practical application with exercises throughout the book. The closing chapter brings everything together by tackling a real-world, st...
The Art of Feature Engineering
A practical guide for data scientists who want to improve the performance of any machine learning solution with feature engineering.
A Survey of Statistical Network Models
Networks are ubiquitous in science and have become a focal point for discussion in everyday life. Formal statistical models for the analysis of network data have emerged as a major topic of interest in diverse areas of study, and most of these involve a form of graphical representation. Probability models on graphs date back to 1959. Along with empirical studies in social psychology and sociology from the 1960s, these early works generated an active network community and a substantial literature in the 1970s. This effort moved into the statistical literature in the late 1970s and 1980s, and the past decade has seen a burgeoning network literature in statistical physics and computer science. ...
The Vagina Business
This tech could change everything for women - here's how. From periods and childbirth to menopause, female pain has been normalized, as society shrugs and says 'welcome to being a woman' instead of coming up with better solutions. But it doesn't have to be this way. In The Vagina Business, award-winning journalist Marina Gerner takes an eye-opening look at the innovators challenging the status quo to deliver the healthcare solutions women need. With interviews from 100 entrepreneurs, researchers and investors across 15 countries, The Vagina Business explores the future of women's health, where female-focused companies are developing products to help women at every stage of life. From a life-saving bra to non-hormonal contraception and new takes on fertility and menopause, it shines a light on innovation that matters. Women should not be denied solutions to health issues just because people are embarrassed to talk about vaginas. We deserve much better.
The Allure of Empire
The Allure of Empire traces how American ideas about race in the Pacific were made and remade on the imperial stage before World War II. Following the Russo-Japanese War, the United States cultivated an amicable relationship with Japan based on the belief that it was a "progressive" empire akin to its own. Even as the two nations competed for influence in Asia and clashed over immigration issues in the American West, the mutual respect for empire sustained their transpacific cooperation until Pearl Harbor, when both sides disavowed their history of collaboration and cast each other as incompatible enemies.In recovering this lost history, Chris Suh reveals the surprising extent to which debat...
Machine Learning and Knowledge Discovery in Databases
This three-volume set LNAI 8724, 8725 and 8726 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases: ECML PKDD 2014, held in Nancy, France, in September 2014. The 115 revised research papers presented together with 13 demo track papers, 10 nectar track papers, 8 PhD track papers, and 9 invited talks were carefully reviewed and selected from 550 submissions. The papers cover the latest high-quality interdisciplinary research results in all areas related to machine learning and knowledge discovery in databases.
Web and Big Data
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Ambient Networks
This book constitutes the refereed proceedings of the 16th IFIP/IEEE International Workshop on Distributed Systems, Operations and Management, DSOM 2005, held in Barcelona, Spain, in October 2005. The 23 revised full papers presented were carefully reviewed and selected from 87 submissions. The papers are organized in topical sections on information models and metrics, security and privacy, policy-based management, deployment, auditing and tuning, performance and quality of service, routing, fault management, and distributed management.
Diamonds in the Rough
All-access doesn't mean no problems The three Diamond sisters survived the summer in style after coming to live with their long-lost billionaire father. But making a place for themselves at their exclusive new Las Vegas private school is throwing them any number of gold-plated curves. Savannah's YouTube stardom turns into a Sweet Sixteen reality show extravaganza--with complimentary enemies on the side. Dangerous flirtations don't keep Peyton from a gamble that will risk far more than she planned to bet. And when Courtney and the sisters' archenemy, Madison, uncover two explosive secrets, it will rock even this town of glittering illusion--and turn their lives upside down all over again.
Advances in Web Mining and Web Usage Analysis
This book constitutes the thoroughly refereed post-workshop proceedings of the 9th International Workshop on Mining Web Data, WEBKDD 2007, and the 1st International Workshop on Social Network Analysis, SNA-KDD 2007, jointly held in St. Jose, CA, USA in August 2007 in conjunction with the 13th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, KDD 2007. The 8 revised full papers presented together with a detailed preface went through two rounds of reviewing and improvement and were carefully selected from 23 initial submisssions. The enhanced papers address all current issues in Web mining and social network analysis, including traditional Web and semantic Web applications, the emerging applications of the Web as a social medium, as well as social network modeling and analysis.
