D'autres livres qui pourraient vous intéresser

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  How to Make a Killing - Blood...

  Tom Mueller

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  Six decades ago, visionary doctors achieved the impossible: the humble kidney, acknowledged since ancient times to be as essential to life as the heart, became the first human organ to be successfully replaced with a machine. Yet huge dialysis corporations, ambitious doctor-entrepreneurs, and Beltway lobbyists soon turned this medical miracle into an early experiment in for-profit medicine—and one of the nation's worst healthcare catastrophes. 
   
   
   
  With powerful insight and on-the-ground reporting, Tom Mueller introduces an unforgettable cast of characters. Heroic patients risk their lives to blow the whistle on how they've been mistreated. An unpaid activist living in a south Georgia trailer park fights to save patients from involuntary discharge from their lifesaving care. Industry insiders put their careers on the line to speak out about the endemic wrongs and pervasive inequality they've witnessed—and about dialysis executives who dress as musketeers and Star Wars characters to exhort their employees to more aggressive profit-seeking. 
   
   
   
  How to Make a Killing reveals dialysis as a microcosm of American medicine and poses a vital challenge: find a way to fix dialysis, and we'll have a fighting chance of fixing our country's dysfunctional healthcare system as a whole, restoring patients, not profits, as its true purpose.

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  Large Language Model-Based...

  Shreyas Subramanian

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  In Large Language Model-Based Solutions: How to Deliver Value with Cost-Effective Generative AI Applications, Principal Data Scientist at Amazon Web Services, Shreyas Subramanian, delivers a practical guide for developers and data scientists who wish to build and deploy cost-effective large language model (LLM)-based solutions. In the book, you'll find coverage of a wide range of key topics, including how to select a model, pre- and post-processing of data, prompt engineering, and instruction fine-tuning. 
   
   
   
  The author sheds light on techniques for optimizing inference, like model quantization and pruning, as well as different and affordable architectures for typical generative AI (GenAI) applications, including search systems, agent assists, and autonomous agents. You'll also find: 
   
   
   
  ● Effective strategies to address the challenge of the high computational cost associated with LLMs 
   
   
   
  ● Assistance with the complexities of building and deploying affordable generative AI apps, including tuning and inference techniques 
   
   
   
  ● Selection criteria for choosing a model, with particular consideration given to compact, nimble, and domain-specific models

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  Evolutionary Intelligence - How...

  W. Russell Neuman

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  It is natural for us to fear artificial intelligence. But does Siri really want to kill us? Perhaps we are falling into the trap of projecting human traits onto the machines we might build. In Evolutionary Intelligence, Neuman offers a surprisingly positive vision in which computational intelligence compensates for the well-recognized limits of human judgment, improves decision making, and actually increases our agency. Neuman takes the listener on an exciting, fast-paced ride, all the while making a convincing case about a revolution in computationally augmented human intelligence. 
   
   
   
  Neuman argues that, just as the wheel made us mobile and machines made us stronger, the migration of artificial intelligence from room-sized computers to laptops to our watches, smart glasses, and even smart contact lenses will transform day-to-day human decision making. If intelligence is the capacity to match means with ends, then augmented intelligence can offer the ability to adapt to changing environments as we face the ultimate challenge of long-term survival. Tapping into a global interest in technology's potential impacts on society, economics, and culture, Evolutionary Intelligence demonstrates that our future depends on our ability to computationally compensate for the limitations of a human cognitive system that has only recently graduated from hunting and gathering.

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  Fundamentals of Data Engineering...

  Brian Murray

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  This book will provide a comprehensive introduction to the field of data engineering, covering key topics such as data storage and retrieval, data pipelines, data governance and security, data infrastructure, and data engineering tools and technologies. Through a combination of theoretical concepts and real-world examples, readers will gain a deep understanding of how to design and build scalable data systems for modern applications. This book will be an essential resource for anyone interested in pursuing a career in data engineering or looking to expand their knowledge in this exciting and rapidly evolving field.

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  River Songs - Moments of Wild...

  Steve Duda

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  River Songs is rich with bracing, authentic, generous stories—writing that revels in language and spirit. Avoiding most of fly fishing's clichés—the romantic elegies, the Moby-Dick-like conquests, the play-by-play detailing a "victory" over a fish—Steve Duda instead offers pieces that breathe lived experience, reveal vulnerabilities, and convey a broad perspective of what it means to have "a long run with a tight crew." Duda is interested in what has been learned out there on the river: what is it about this "ridiculous activity" that connects us to this planet, makes us human, gives us hope? 
   
   
   
  River Songs focuses on the in-between moments and the unexpected revelations—awe, fear, frustration, doubt, joy—that are as much a part of fishing as tying knots and chucking flies. Listeners ride along with Duda in battered pickup trucks, fish "between jobs," look longingly at unfished famous rivers while touring with a country-punk band, and wonder how a fishing trip led to getting a tooth pulled while being surrounded by trash-talking friends. They will find beauty, discovery, heartbreak, good dogs, and the wonder of nature within the expanse of Northwest landscapes and beyond.

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  Wernher von Braun

  Erik Bergaust

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  Here is Dr. Wernher von Braun’s incredible story – from his early years in Germany, where he gave birth to modern rocketry, to his arrival in the United States and his launching of the first American satellite, the first man on the moon and other stunning space exploration feats. “Every page of Wernher von Braun’s life is a monument to the drama of adventure. Few people have been fighting so hard and, indeed, very few have been subject to so much criticism, so much jealousy, so much defeat—yet, very few have lived to be honored and to harvest the fruits of so many wonderful victories as has this man.” Author Erik Bergaust has had the advantage of knowing von Braun as a friend, hunting and fishing companion, space business associate—and biographer—for more than twenty-five years. Thus, he has been able to present a dramatic portrait of an important personality and a 20th century hero.

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