Tea drinking has become a way of life. To put it frankly, it is a love, an addiction, and some would even go as far to say a philosophy. Dr. Keith Souter examines the perpetual impact that this adored beverage has bestowed upon the world for centuries, from its mystical origins in the East, to its inevitable influence on the West. The Tea Cyclopedia is an indispensable reference for anyone interested in all things tea. Commencing each chapter with insightful quotes, it not only captures the historical beginnings of this beloved drink, but also explores tea's involvement in politics, health, the economy, and even fortune-telling. This unprecedented beverage has united people in times of adversity; it has also divided nations, causing volatile revolutions, such as the Sri Lankan Civil War and the Boston Tea Party. But today you will most likely find that various cultures have developed their own unique style of enjoying tea, and the ritual of tea drinking itself is not only intriguing, but also highly rewarding. In this meticulously detailed guide, readers will rediscover tea, its cultivation, and all of its richness and intricacy as a worldwide beverage. The Tea Cyclopedia is an enthralling tribute to the illustrious, invigorating, and elusive leaf that has vehemently continued to inspire people for more than two thousand years.

The Book of Tea is a brief but classic essay on tea drinking, its history, restorative powers, and rich connection to Japanese culture. Okakura felt that "Teaism" was at the very center of Japanese life and helped shape everything from art, aesthetics, and an appreciation for the ephemeral to architecture, design, gardens, and painting. In tea could be found one source of what Okakura felt was Japan's and, by extension, Asia's unique power to influence the world. Containing both a history of tea in Japan and lucid, wide-ranging comments on the schools of tea, Zen, Taoism, flower arranging, and the tea ceremony and its tea-masters, this book is deservedly a timeless classic and will be of interest to anyone interested in the Japanese arts and ways. Book jacket.

Where does tea come from? With DK's The Tea Book, learn where in the world tea is cultivated and how to drink each variety at its best, with steeping notes and step-by-step recipes. Visit tea plantations from India to Kenya, recreate a Japanese tea ceremony, discover the benefits of green tea, or learn how to make the increasingly popular Chai tea. Exploring the spectrum of herbal, plant, and fruit infusions, as well as tea leaves, this is a comprehensive guide for all tea lovers.

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AROUND THE WORLD IN A TEACUP Did you know that tea is the most widely consumed beverage on the planet after water? Or that all of the world’s tea originates from only three varieties of a single plant? While a cup of tea may be a simple pleasure for most of us, there are a dizzying number of tastes from which to choose. And every tea, whether a delicately sweet green tea from Japan or a bracing, brisk Darjeeling black, tells a story in the cup about the land that nurtured it and the tea-making skills that transformed it. In this authoritative guide, veteran tea professionals Mary Lou and Robert J. Heiss provide decades of expertise on understanding tea and its origins, the many ways to buy tea, and how to explore and enjoy the six classes of tea (green, yellow, white, oolong, black, and Pu-erh). Additional advice on steeping the perfect cup and storing tea at home, alongside a gallery of more than thirty-fi ve individual teas with tasting notes and descriptions make The Tea Enthusiast’s Handbook a singular source of both practical information and rich detail about this fascinating beverage.

Big data and machine learning are driving the Fourth Industrial Revolution. With the age of big data upon us, we risk drowning in a flood of digital data. Big data has now become a critical part of both the business world and daily life, as the synthesis and synergy of machine learning and big data has enormous potential. Big data and machine learning are projected to not only maximize citizen wealth, but also promote societal health. As big data continues to evolve and the demand for professionals in the field increases, access to the most current information about the concepts, issues, trends, and technologies in this interdisciplinary area is needed. The Encyclopedia of Data Science and Machine Learning examines current, state-of-the-art research in the areas of data science, machine learning, data mining, and more. It provides an international forum for experts within these fields to advance the knowledge and practice in all facets of big data and machine learning, emphasizing emerging theories, principals, models, processes, and applications to inspire and circulate innovative findings into research, business, and communities. Covering topics such as benefit management, recommendation system analysis, and global software development, this expansive reference provides a dynamic resource for data scientists, data analysts, computer scientists, technical managers, corporate executives, students and educators of higher education, government officials, researchers, and academicians.