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Poetry Ambassadors
Poetry Ambassadors presents the work of three exceptional new poets from the Solent region. It is the first publication from the Poetry Ambassadors mentoring scheme, a new programme supporting emerging literary talent co-founded by ArtfulScribe, Winchester Poetry Festival, and Will May from the University of Southampton. The work of these three poets takes in everything from Tolstoy to the Supremes, birth certificates to the underworld. Arresting, playful, and compelling, here are poems to challenge, provoke, and inspire.
OneTrackMinds
Put your headphones on, close your eyes. Embrace the possibility of the life-changing power of music. And perhaps one of these songs will change your life too. Music can inspire our greatest creations, salve our deepest wounds, make us fall in – or out of – love. It can also be a window into another’s soul. Based on the popular live storytelling series, OneTrackMinds is a collection of twenty-five compelling answers to the question, ‘What was the song that changed your life?’ Featuring pieces from a stellar cast of contributors including Peter Tatchell, Inua Ellams, Cash Carraway, Rhik Samadder, Ingrid Oliver and Joe Dunthorne, alongside some of the UK’s most exciting new voices, the book compiles many of the standout stories from the live show so far. Just as rich and varied are the songs themselves, by artists ranging from Nina Simone and Joni Mitchell to Aphex Twin and the Replacements via Tupac, Prince and the Spice Girls. The result is an entertaining, enlightening musical guide to the best of what makes us human.
The Lady of the Lake
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What We Are Given
What We Are Given is a poetic exploration of the bonds which bind and break us. The things we inherit, who we are and how we become them. An examination of what it means to be human that is in equal parts tender and gritty. Ollie O'Neill's poems navigate a series of emotions and relationships from romance to grief from family to friends. What We Are Given places everyday experiences under the microscope and allows us to understand how they come to be part of the bigger picture. It is unflinching in its honesty and intimacy - unafraid to embrace the dark whilst still leaving room for lightness.
Wild Mull
High above the mountaintops on the Isle of Mull, a huge bird is soaring. Its all-encompassing gaze records people in its Hebridean territory far below, but they are of no interest. The eagle is about its business: concentrating on the deer and fidgety hares out grazing in the morning sun, the urgent push of thermals beneath its wings, a threatening weather front way out at sea, and the restless chick back in its eyrie. This is Mull in its glory. This is what the excited, watching people have travelled so far to witness. They train their binoculars and admire, perhaps envy, the eagle with its vast freedom, knowing that such a self-willed being is part of another world – almost. This book gu...
Things Fall Apart
“A true classic of world literature . . . A masterpiece that has inspired generations of writers in Nigeria, across Africa, and around the world.” —Barack Obama “African literature is incomplete and unthinkable without the works of Chinua Achebe.” —Toni Morrison Nominated as one of America’s best-loved novels by PBS’s The Great American Read Things Fall Apart is the first of three novels in Chinua Achebe's critically acclaimed African Trilogy. It is a classic narrative about Africa's cataclysmic encounter with Europe as it establishes a colonial presence on the continent. Told through the fictional experiences of Okonkwo, a wealthy and fearless Igbo warrior of Umuofia in the ...
Gaussian Processes for Machine Learning
A comprehensive and self-contained introduction to Gaussian processes, which provide a principled, practical, probabilistic approach to learning in kernel machines. Gaussian processes (GPs) provide a principled, practical, probabilistic approach to learning in kernel machines. GPs have received increased attention in the machine-learning community over the past decade, and this book provides a long-needed systematic and unified treatment of theoretical and practical aspects of GPs in machine learning. The treatment is comprehensive and self-contained, targeted at researchers and students in machine learning and applied statistics. The book deals with the supervised-learning problem for both ...
The Truth Seeker
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