Altri libri che potrebbero interessarti

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  Introduction to Data...

  Jose Berengueres, Marybeth Sandell

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  Adopted by universities and business schools in Finland, Barcelona, USA, South Korea, Canada, and the Middle East; and used in training at companies like Halliburton TX, Agilent technologies, and PropertyFinder, this book will help you not only to transform data into information but show you with real examples how to story tell it. The authors (a Kaggle master and a Bloomberg former bureau chief), bring together concepts fromData ScienceDesign Thinking, andStorytelling 
  to take you on a journey where the destination is nothing less than great visual storytelling.AudienceMBA candidates, instructors, consultantsUsers of Excel, PowerBI, or TableauNo data skills or special math skills are requiredWhat will you learn?to identify the role of a narrative in a storyto transform data into informationto synthesize knowledgeto apply visual thinking tools to the decision-making processto select visual communication techniques to persuadeto detect bias in charts

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  No Country for Old Age -...

  Mischa Honeck

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  Since the birth of their nation, Americans have acted on the belief that theirs was a land of youth, a place destined to offer a fresh start to an aging world. No Country for Old Age tells this story from the founding period to our present moment, but not without exposing its darker side: rejuvenation has often bred grand expectations that end in division and despair. 
   
   
   
  Mischa Honeck reveals how Americans of diverse backgrounds have sought not only to feel and look younger but also to breathe new life into their communities. Whether marching under the banners of science, public health, sexual liberation, physical fitness, nation-building, or world peace, these youth seekers have tended to paint their ventures in utopian colors. However, from the founders to today's Silicon Valley elites, anti-aging ventures have repeatedly magnified social inequalities, often projecting visions of society that have been unmistakably classist, racist, misogynist, and ageist. Today we are experiencing rejuvenation's Janus-faced legacy: As transhumanists rhapsodize about cyber-enhancing human bodies, ghastly pandemics, old-age poverty, and shrinking life expectancies are poised to become the new normal for many twenty-first-century Americans.

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  Eco-Friendly Fashion - A...

  Marrex Silvain

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  The clothes we wear every day have a bigger impact on the planet than most people realize. Eco-Friendly Fashion is a clear and approachable guide for anyone who wants to make better clothing choices without feeling overwhelmed or pressured to be perfect. 
   
  This book introduces the fundamentals of sustainable fashion, explaining how fabrics are made, why fast fashion creates environmental and ethical problems, and what “eco-friendly” really means in practice. Readers will learn how to recognize sustainable materials, understand ethical production, and avoid common greenwashing tactics used by brands. 
   
  Designed for beginners, the book focuses on practical, everyday decisions—how to shop more mindfully, care for clothes to make them last longer, and build a wardrobe that reflects both personal style and environmental responsibility. Small changes are emphasized over drastic lifestyle shifts, making sustainable fashion realistic and accessible. 
   
  Eco-Friendly Fashion empowers readers to align their values with their wardrobes, showing that ethical choices and great style can coexist. It’s an ideal starting point for anyone ready to step into sustainable fashion with confidence and clarity.

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  Choosing the Right Database...

  Sophia Martinez

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  One of the core things the firms require to innovate, grow, and make decisions within the digital economy is data. Managing this, however, has been a complex task that's not only technological but also strategic vision combined with great understanding concepts in databases. Written to help readers with the complexities in database systems with wise, major decisions, this book, "Choosing the Right Database Management Strategy: Behind the Scenes of Data: Principles and Practices of Database Management " has been authored for a purpose. 
  From new trends to database models and the optimization strategies that are current trends, this book mentions some of the fundamental ideas related to database administration. The reader will clearly get the point in relational and NoSQL databases, as well as hybrid systems that take advantage of both methodologies. Useful frameworks are also available regarding performance optimization, data integrity assurance, and selection of storage strategies. 
  Organized into five exhaustive parts, following a step-by-step methodology, this book would appeal to every kind of skill level. However, while such mature professionals are going to tackle topics like scalability, distributed systems, and storage in the cloud, beginners get their basic concepts defined concisely. 
  This book has something unique- the fusion between theory and practice. It's because it harmoniously fuses practical examples to informative information equipped for the precise challenge that's required to overcome a specific reader's data-setting settings. Through this book, you will gather information that should allow you fully exploit your data as a student, data professional, or enthusiast.

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  How To Make It In Nursing As A...

  Patrice M Foster

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  Are you a man looking to get into nursing and do not know how to? 
  Do you wish to understand just what it takes to become a nurse in a female-dominated field? 
  If so, then you have come to the right place. 
  This book will usher you into the world of being a male nurse and thriving at it! 
  For a better part of the last decade, nursing has been considered a female domain, with men being looked at as anomalies in the field. The view that men cannot make good nurses has thus led to widespread stereotypes of men who get into the field. Men in nursing are generally often viewed with suspicion, with people even questioning their sexual orientation.  
  However, as you will learn in this book, nursing had originally been a field meant for men. During the old periods up until the 19thcentury, large-scale caregiving was a role that was meant for men. Thus, this already defeats the stereotype that men lack the necessary temperament to get into nursing. 
  Furthermore, men who get into nursing consider it the most fulfilling profession that they could choose and simply want to care for people. 
  So, perhaps you may be wondering… 
  Why is it hard for men to get into nursing? 
  What are some of the challenges male nurses face in the profession? 
  How do female nurses react to and treat their male colleagues? 
  What are male nurses doing to change the negative perception of men in the field? 
  What does the future hold for male nurses? 
  If these and many questions are bothering you, then this is the book that answers them and more, as it covers the ins and outs of becoming a male nurse and how to make the best of it.

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  Explainable AI - Demystifying AI...

  James Ferry

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  In an era where artificial intelligence (AI) shapes critical decisions in healthcare, finance, law, and beyond, understanding how AI arrives at its conclusions is paramount. "Explainable AI: Demystifying AI Decisions" is an essential guide that unveils the inner workings of AI models, making them transparent and understandable to all. 
  Authored by experts at the forefront of AI research and application, this book demystifies the complex algorithms that underpin modern AI systems. It introduces readers to the core principles of Explainable AI (XAI) — transparency, interpretability, accountability, and fairness — and illustrates how these principles ensure AI decisions align with ethical standards and regulatory requirements. 
  Through practical examples and case studies, "Explainable AI" equips readers with the tools to:Understand AI Decisions: Explore how AI models make predictions and recommendations, breaking down the process into comprehensible steps.Detect and Mitigate Bias: Learn techniques for identifying biases within AI systems and strategies to mitigate them, promoting fairness and equity.Enhance Trust and Accountability: Gain insights into how transparency and interpretability foster trust among users, stakeholders, and the broader community.Navigate Ethical Challenges: Address ethical considerations in AI development, including privacy, consent, and the societal impact of AI technologies. 
  "Explainable AI" provides invaluable knowledge and practical guidance. It empowers readers to harness the potential of AI responsibly, ensuring that AI technologies benefit society while upholding ethical standards and transparency. 
   

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