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Storytelling kept alive the myths, legends and history of the Blasket Islands. In her old age, Peig Sayers, recounted her life to her son who recorded the tale in this book. She recalls the events of her life and her simple philosophy in a moving poetic style. Such everyday tasks as collecting turf for roots, catching and eating seals, and preparing for a wake are depicted alongside such momentous events as drownings at sea, pilgrimages, and the spread of the news of the Easter uprising in 1916. There were 'clouds of sorrow', but helping to lift them was the friendship she found in the community, which 'was like a little rose in the wilderness'. The Blasket Islands are three miles off Irelands Dingle Peninsula. Until their evacuation just after the Second World War, the lives of the 150 or so Blasket Islanders had remained unchanged for centuries. A rich oral tradition of story-telling, poetry, and folktales kept alive the legends and history of the islands, and has made their literature famous throughout the world. The 7 Blasket Island books published by OUP contain memoirs and reminiscences from within this literary tradition, evoking a way of life which has now vanished.
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Summary Mahout in Action is a hands-on introduction to machine learning with Apache Mahout. Following real-world examples, the book presents practical use cases and then illustrates how Mahout can be applied to solve them. Includes a free audio- and video-enhanced ebook. About the Technology A computer system that learns and adapts as it collects data can be really powerful. Mahout, Apache's open source machine learning project, captures the core algorithms of recommendation systems, classification, and clustering in ready-to-use, scalable libraries. With Mahout, you can immediately apply to your own projects the machine learning techniques that drive Amazon, Netflix, and others. About this ...
WHAT WILL DESTROY ONE CHILD WILL BE THE MAKING OF ANOTHER. From the icy banks of a secluded country pond to the fevered core of a historic London heat wave and immersion in an abandoned underwater village in the Tuscan mountains, four young people—each of whose lives has been irrevocably altered by water— converge in this brilliantly plotted drama of passion, betrayal, revenge, and redemption. Owen is haunted by nightmares of the Merfolk. He believes they have stolen his little sister, who vanished while he was meant to be watching her on the beach. But he was only a child himself. Is it fair for his mother to have blamed him all these years? Catherine’s perfect Christmas was ruined wh...
From the bestselling author of Plan B comes a funny and touching new novel about a girl, a boy, and a notebook that could ruin everything. Emily Abbott has always been considered the Girl Most Likely to Be Nice—but lately being nice hasn’t done her any good. Her parents have decided to move the family from Chicago back to their hometown of Boston in the middle of Emily’s senior year. Only Emily’s first real boyfriend, Sean, is in Chicago, and so is her shot at class valedictorian and early admission to the Ivy League. What’s a nice girl to do? Then Sean dumps Emily on moving day and her father announces he’s staying behind in Chicago “to tie up loose ends,” and Emily decides ...
Kaikhosru Shapurji Sorabji (1892-1988) was an unusual legend in his own lifetime: a Parsi composer and critic living in England whose compositions are of such length and difficulty that he felt compelled to ban public performances of them. This book, the first devoted to Sorabji, explores his life and character, his music, his articles and letters. It both presents the legend accurately and dispels its exaggerated aspects. The portrait which emerges is not of a crank or eccentric but of a highly original and accomplished musical thinker whom recent performances and recordings confirm as unique and important. Most of the contributors knew Sorabji personally. They have all written about or performed his music, gaining international recognition for their work. Generous quotation of Sorabji's published and unpublished music and prose assists in bringing him and his work strikingly to life. The book also contains the most complete and accurate register of his work ever published.
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Silver Medal Winner in the Feathered Quill Book Awards. Politics and power. Demons and spirits. When ex-Pinkerton detective Samuel Hunter married Elizabeth Weldsmore, the heir to one of Boston's Great Houses, he knew his life would change forever, but he never expected the return of Elizabeth's psychic abilities. Not only do they have to keep it a secret, but Elizabeth must learn quickly how to master them. For a psychic in a Great House is a political liability which her father, Jonathan Weldsmore, knows only too well. As the Great Houses jockey for power, the three of them must contend with treachery, subterfuge, and potentially a new demonic threat, in this political and supernatural thriller set in an alternate-history Boston of 1890. This novel is the prequel to the popular graphic novel, Boston Metaphysical Society: The Complete Series.
Explore clustering algorithms used with Apache Mahout About This Book Use Mahout for clustering datasets and gain useful insights Explore the different clustering algorithms used in day-to-day work A practical guide to create and evaluate your own clustering models using real world data sets Who This Book Is For This book is for developers who want to try out clustering on large datasets using Mahout. It will also be useful for those users who don't have background in Mahout, but have knowledge of basic programming and are familiar with basics of machine learning and clustering. It will be helpful if you know about clustering techniques with some other tool. What You Will Learn Explore clust...
This book constitutes the thoroughly refereed post-proceedings of the Third International Workshop on Algorithm Engineering and Experimentation, ALENEX 2001, held in Washington, DC, USA in January 2001.The 15 revised full papers presented together with the abstracts of three invited presentations have gone through two rounds of reviewing and revision and were selected from 31 submissions. Among the topics addressed are heuristics for approximation, network optimization, TSP, randomization, sorting, information retrieval, graph computations, tree clustering, scheduling, network algorithms, point set computations, searching, and data mining.