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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.
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 ...
Ping!
Ping! is a glittering xennial trip through Glasgow tenements, Lancashire bus stations and London theatres, leaping into the sea and beyond. In these poems, party queens, builders and greasy advertising execs ride shotgun with 1970s videogames, digital nomads and linguistic algorithms to tackle themes such as capitalism, kinship, politics and otherness. From kitchen sink drama to international terror, and from the death of the high street to the rise of AI, these are poignant-yet-playful poems for a post-pandemic world. Witty, tart and peculiarly philosophical, Ping! is the sound of a millennium gatecrashing its 21st birthday party - then passing out in the kitchen.
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