Otros libros que te pueden interesar

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  Drift Into Failure - From...

  Sidney Dekker

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  What does the collapse of sub-prime lending have in common with a broken jackscrew in an airliner’s tailplane? Or the oil spill disaster in the Gulf of Mexico with the burn-up of Space Shuttle Columbia? These were systems that drifted into failure. While pursuing success in a dynamic, complex environment with limited resources and multiple goal conflicts, a succession of small, everyday decisions eventually produced breakdowns on a massive scale. We have trouble grasping the complexity and normality that gives rise to such large events. We hunt for broken parts, fixable properties, people we can hold accountable. Our analyses of complex system breakdowns remain depressingly linear, depressingly componential - imprisoned in the space of ideas once defined by Newton and Descartes. The growth of complexity in society has outpaced our understanding of how complex systems work and fail. Our technologies have gotten ahead of our theories. We are able to build things - deep-sea oil rigs, jackscrews, collateralized debt obligations - whose properties we understand in isolation. But in competitive, regulated societies, their connections proliferate, their interactions and interdependencies multiply, their complexities mushroom. This book explores complexity theory and systems thinking to understand better how complex systems drift into failure. It studies sensitive dependence on initial conditions, unruly technology, tipping points, diversity - and finds that failure emerges opportunistically, non-randomly, from the very webs of relationships that breed success and that are supposed to protect organizations from disaster. It develops a vocabulary that allows us to harness complexity and find new ways of managing drift.

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  Real Life: Construction...

  Jamil Soucar

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  How many of us have been told after we graduated that what you studied in books is one thing and how it works in reality is something different! This book is a complete guide that takes you through all phases of a project from its inception, through design, all the way to construction completion teaching the concepts from a real life everyday perspective. It will give you step by step best practices injecting that element that no one talks about, human nature, egos and agendas. Don't kid yourself, when you manage projects you will be managing people more than construction. 
  Whether you are managing projects as an Owner's representative, for a Contractor, if you are an Architect or an Owner who wishes to understand all aspects of projects. Whether you just started or already a practicing professional, this book will benefit you immediately. 
  The book is an easy read stile that feels like a conversation more than a lecture.

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  Machine Learning with Python -...

  Alexander Cane

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  It’s clear that the future is all about artificial intelligence and machine learning. We all want better recommendations, better personalization, and we want much more from our internet searches. The apps we use can see, they can hear, and they can even respond, and that is a direct result of artificial intelligence – improving the user experience and bringing much more value across every industry. 
  This brings two questions to mind, though – How do we bring those experiences to life and what’s the best computer programming language to use? 
  The obvious answer is to use Python because it is the best language for machine learning. 
  Why?  
  What makes it the best programming language? 
  Artificial intelligence projects are different from your standard software project, and that difference comes from the technology stack, from the skills that you need for artificial intelligence projects and from the real necessity for deep research. 
  You need a programming language that offers stability, flexibility, and a wide range of tools. Python gives you all this and more. From development, right through deployment to maintenance, the Python language helps us to be productive developers, confident about what we are building.

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  The History of Computing - From...

  Craig Dames

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  The story of computing begins not with electricity or screens, but with simple tools and the human need to solve problems. Long before the modern computer, ancient civilizations were already creating devices to aid in counting, measuring, and performing basic arithmetic. These early innovations laid the groundwork for centuries of progress in computing. 
  One of the most enduring tools from this era is the abacus. Believed to have originated in Mesopotamia over 4,000 years ago, the abacus evolved in various cultures, including Chinese, Roman, and Japanese societies. It was a portable, efficient device that allowed users to perform addition, subtraction, multiplication, and division by sliding beads along rods or grooves. Although simple in design, the abacus was powerful for its time and is still used in some regions for teaching arithmetic and mental calculation skills. 
  In addition to the abacus, ancient number systems were critical to the development of computation. The Babylonians used a base-60 numeral system, which influenced the way we measure time and angles today. The Egyptians employed a system based on units of ten, using hieroglyphs to represent values. Meanwhile, the Romans had a cumbersome numeral system that made complex calculations challenging. It wasn't until the adoption of the Hindu-Arabic numeral system, with its concept of zero and place value, that true advances in mathematical computation became possible.

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  Robot Souls - Programming in...

  Eve Poole

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  Two of the biggest design problems in Artificial Intelligence are how to build robots that behave in line with human values and how to stop them ever going rogue. One under-explored solution to these alignment and control problems might be to examine how these are already addressed in the design of humans. 
   
   
   
  Looking closely at the human blueprint, it contains a suite of capacities that are so clumsy they have generally been kept away from AI. It was assumed that robots with features like emotions and intuition, that made mistakes and looked for meaning and purpose, would not work as well as robots without this kind of code. But on considering why all these irrational properties are there, it seems that they emerge from the source code of soul. Because it is actually this 'junk' code that makes us human and promotes the kind of reciprocal altruism that keeps humanity alive and thriving. 
   
   
   
  Robot Souls looks at developments in AI and reviews the emergence of ideas of consciousness and the soul. It places our 'junk code' in this context and argues that it is time to foreground that code, and to use it to look again at how we are programming AI.

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  Wild in Seattle - Stories at the...

  David Williams

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  For award-winning natural history writer David B. Williams, to be connected to a place you need to pause and look deeply at it. Wild in Seattle is Williams's delightful journey of discovery in this city where not only is nature all around, it's also written in the stones of the urban landscape. Explore the geologic history of glaciers, tsunamis, earthquakes, and volcanoes as well as the ways humans shape the Seattle topography. From backyards to downtown, watch for coyotes, crows, seals, otters, owls, and so much more wildlife who also call the region home. Look up at the buildings to find terra cotta eagles, stone that traveled over millions of years from Asia to the San Juan Islands, and clues to the horses who used to power the city's transportation network. Wrap your arms around a giant Douglas-fir, appreciate the unsung yet remarkable skunk cabbage, stop and listen to the spring chorus of frogs. 
   
   
   
  Williams's lively essays will fire up the curiosity of both residents and visitors alike, inspiring all to take a fresh look at the Emerald City.

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