Holistic coaches share how radiant your life can really be. This anthology is co-authored by coaches trained and certified at the Radiant Coaches Academy and includes chapters: 1. Living a Radiant Life by Allowing Your Inner Light to Shine by Jaimee Rudman 2. Women! by Narges Saife 3. Minding My Own Business to Trans- Morphosize by Marva De Silva 4. Find a Positive in Each Day by Cierra Tutton 5. Coaching Impactfully with Radiance! by Lea Tran 6. Hope by Gina Dubon 7. MiStory Came to Life by Parisa Ally 8. Radiant Self-Awareness by Samantha Alper Kramer 9. Tenacity and Tenderness; Navigating Life Changes from Heart Center by Kellen Celeste Brugman 10. The Joy of Change by Merril Boruchin Spielman
This book is an introduction to the theory of quasiconformal and quasiregular mappings in the euclidean n-dimensional space, (where n is greater than 2). There are many ways to develop this theory as the literature shows. The authors' approach is based on the use of metrics, in particular conformally invariant metrics, which will have a key role throughout the whole book. The intended readership consists of mathematicians from beginning graduate students to researchers. The prerequisite requirements are modest: only some familiarity with basic ideas of real and complex analysis is expected.
A novel of love, family, and a fight for freedom in Iran featuring a “formidable and hard-to-forget heroine” (Publishers Weekly). In the early 1920s, in the remote Persian village of Ghamsar, two young people dreaming of a better life fall in love and marry. Sardar brings his bride, Talla, with him across the mountains to the suburbs of Tehran, where the couple settles down and builds a home. From the outskirts of the capital city, they will watch as the Qajar dynasty falls and Reza Khan rises to power as Reza Shah Pahlavi. Into this family of illiterate shepherds is born Bahram, a boy whose brilliance and intellectual promise are apparent from a very young age. As he grows older, Bahram will become a fervent follower of reformer Mohammad Mosaddegh and will participate firsthand in his country’s political and social upheavals, putting himself in mortal danger, in this prize-winning, “compelling book [that] raises important questions about indulgence, gender, community, and the impact of politics on everyday life” (Kirkus Reviews). “Exquisite . . . the narrative evolves from an intimate chronicle of Talla and Sardar’s provincial lives into a sweeping tour through early-20th-century Iran.” —The New York Times
This book contextualises philosophy by bringing Judith Butler’s critique of identity into dialogue with an analysis of the transgressive self in dramatic literature. The author draws on Butler’s reflections on human agency and subjectivity to offer a fresh perspective for understanding the political and ethical stakes of identity as formed within a complex web of relations with human and non-human others. The book first positions a detailed analysis of Butler’s theory of subject formation within a broader framework of feminist philosophy and then incorporates examples and case studies from dramatic literature to argue that the subject is formed in relation to external forces, yet within its formation lies a space for transgressing the same environments and relations that condition the subject’s existence. By virtue of a fundamental dependency on conditions and relations that bring human beings into existence, they emerge as political and ethical agents capable of resisting the formative forces of power and responding – ethically – to the call of others.
Whether you're part of a small startup or a multinational corporation, this practical book shows data scientists, software and site reliability engineers, product managers, and business owners how to run and establish ML reliably, effectively, and accountably within your organization. You'll gain insight into everything from how to do model monitoring in production to how to run a well-tuned model development team in a product organization. By applying an SRE mindset to machine learning, authors and engineering professionals Cathy Chen, Kranti Parisa, Niall Richard Murphy, D. Sculley, Todd Underwood, and featured guest authors show you how to run an efficient and reliable ML system. Whether you want to increase revenue, optimize decision making, solve problems, or understand and influence customer behavior, you'll learn how to perform day-to-day ML tasks while keeping the bigger picture in mind. You'll examine: What ML is: how it functions and what it relies on Conceptual frameworks for understanding how ML "loops" work How effective productionization can make your ML systems easily monitorable, deployable, and operable Why ML systems make production troubleshooting more difficult, and how to compensate accordingly How ML, product, and production teams can communicate effectively
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