Weitere Bücher, die Sie mögen werden

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  Interpretation of Dreams The -...

  Sigmund Freud

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  The Interpretation of Dreams is an 1899 book by Sigmund Freud, the founder of psychoanalysis, in which the author introduces his theory of the unconscious with respect to dream interpretation, and discusses what would later become the theory of the Oedipus complex. Freud revised the book at least eight times and, in the third edition, added an extensive section which treated dream symbolism very literally, following the influence of Wilhelm Stekel. Freud said of this work, "Insight such as this falls to one's lot but once in a lifetime." 
  Dated 1900, the book was first published in an edition of 600 copies, which did not sell out for eight years. The Interpretation of Dreams later gained in popularity, and seven more editions were published in Freud's lifetime. 
  Because of the book's length and complexity, Freud also wrote an abridged version called On Dreams. The original text is widely regarded as one of Freud's most significant works.

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  A Light in the Tower - A New...

  Katie Rose Guest Pryal

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  With evocative storytelling and incisive research, Katie Rose Guest Pryal brings a new eye to the mental health crisis that higher education has faced for decades. Written from the perspective of a bipolar-autistic professor, A Light in the Tower is both a bracing account of the mental health crisis in higher education and a passionate and informed proposal for how to teach with mental health in mind. 
   
   
   
  Pryal contends that higher education's mental health crisis is the result of long-term systemic problems in education that demand nothing short of a revolution. She examines the anxiety that plagues campuses as a result of exploited and overworked contingent faculty and students, the shock events like COVID-19 and campus shootings that traumatize communities, the systemic and institutional burnout that affects higher education at every level, and the market-driven culture of toxic overwork. These are large-scale problems that need large-scale solutions. Addressing the stigma that haunts mental disability on campus, the ableism that hounds our teaching, and the cascade of mental health struggles that far too many faculty and students face, Pryal provides straightforward solutions to these complex challenges.

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  Agile Project Management with...

  Ben Stephen

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  "Agile Project Management with Kanban: A Proven Framework for Managing Projects, Teams and Deliveries" is a comprehensive guide to implementing the Kanban method in any organization. Originally developed in the manufacturing industry, Kanban is a powerful tool for managing and improving workflows, and it is now widely used in a variety of industries. This book provides a clear and detailed explanation of the Kanban method and its key principles, as well as practical guidance for introducing Kanban to your team and organization. 
  The book begins by defining Kanban and its origins in Lean manufacturing, and comparing it to other Agile methodologies. It then goes on to explain the Kanban board and its components, and the role of Work In Progress (WIP) limits in Kanban. The author provides step-by-step instructions for introducing Kanban to your team and organization, including tips for creating a Kanban board and setting up WIP limits. The book also covers strategies for overcoming resistance to change and managing the flow of work. 
  In addition, the author provides techniques for visualizing and managing the flow of work, discussion of the role of metrics in Kanban, and strategies for identifying and addressing bottlenecks. The book also covers tips for effective communication and collaboration with team members and stakeholders, and strategies for ensuring buy-in and alignment with organizational goals. The author also discusses the role of leadership in Kanban, including the Kanban leadership style and practices that are most effective in a Kanban environment. 
  This book is ideal for project managers, team leaders, product managers, and anyone looking to improve their project management and delivery process. With its clear explanations and practical guidance, this book is an essential resource for anyone looking to implement Kanban in their organization. 
   

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  DSM - A History of Psychiatry's...

  Allan V. Horwitz

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  The first comprehensive history of "psychiatry's bible"—the Diagnostic and Statistical Manual of Mental Disorders. 
   
   
   
  Over the past seventy years, the Diagnostic and Statistical Manual of Mental Disorders, or DSM, has evolved from a virtually unknown and little-used pamphlet to an imposing and comprehensive compendium of mental disorder. Its nearly 300 conditions have become the touchstones for the diagnoses that patients receive, students are taught, researchers study, insurers reimburse, and drug companies promote. Although the manual is portrayed as an authoritative corpus of psychiatric knowledge, it is a product of intense political conflicts, dissension, and factionalism. The manual results from struggles among psychiatric researchers and clinicians, different mental health professions, and a variety of patient, familial, feminist, gay, and veterans' interest groups. The DSM is fundamentally a social document that both reflects and shapes the professional, economic, and cultural forces associated with its use. 
   
   
   
  In DSM, Allan V. Horwitz examines how the manual, known colloquially as "psychiatry's bible," has been at the center of thinking about mental health in the United States since its original publication in 1952.

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  Milk

  Matthew Evans

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  A powerful, entertaining and, at times, eviscerating commentary on the most controversial of original superfoods. 
   
  Milk. It's in our coffee, on our cereal. We see it in processed form – yoghurt, butter, cheese, skimmed and lactose free. It's there in almond form, or made from oats or soy, and is as lauded as the 'perfect' food or lambasted as not fit for human consumption and a toxic planet killer, depending on who you trust. Which type you drink, whether you were raised on breastmilk, what you think of it, is affected by culture, biology and fashion. How you view it is driven by your gender and your politics, as well as your geography. 
   
  The miracle liquid has suffered an image problem. It has been used to keep people poor, to keep women subjugated, and to build corporate and medical careers. It's been blamed for climate change, the breakdown of human health, and an enabler of the industrial revolution. From perfect food to pariah, milk's role in life has often been debased. 
   
  Milk celebrates the majesty of this noble liquid, and delves into the pretenders to its throne, from formula to Mylk. It looks at the transformation of what a milk-producer eats into one of the most nutrient dense foods available, and how that can be transformed again into the butter, cheese and clotted cream that we know and love today. It's an exploration of the science, history and politics of what makes mammals different from every other life form on earth.

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  Maths for AI - All Mathematics...

  Et Tu Code

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  Discover the core principles of Mathematics for Artificial Intelligence in our comprehensive ebook In the Introduction to Mathematics in AI understand the pivotal role of math in AI development Gain insights into its applications and the symbiotic relationship between the two fields 
  1. Introduction to Mathematics in AI Explore why math is crucial for AI development setting the stage for your learning journey 
  2. Essential Mathematical Concepts Delve into the foundational principles of AI from algebra to core operations essential for navigating the world of AI 
  3. Statistics for AI Grasp the statistical fundamentals underpinning AI algorithms Learn to interpret data and make informed decisions 
  4. Optimization in AI Understand optimization techniques to enhance AI performance finetuning algorithms for efficiency 
  5. Linear Algebra in AI Unlock the power of linear algebra in AI Explore matrices vectors and their applications 
  6. Calculus for Machine Learning Navigate calculus tailored for machine learning understanding differentiation and integrations role 
  7. Probability Theory in AI Unravel the mysteries of probability theory in AI applications gaining insights into probabilistic models 
  8. Advanced Topics in Mathematics for AI Explore advanced mathematical topics elevating your AI understanding 
  Stay tuned for sections on implementing AI math concepts with Python exploring math behind popular ML algorithms and applications like computer vision and NLP Build a solid math foundation for AI success

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