Weitere Bücher, die Sie mögen werden

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  The Digital Factory - The Human...

  Moritz Altenried

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  The Digital Factory reveals the hidden human labor that supports today’s digital capitalism. 
    
  The workers of today’s digital factory include those in Amazon warehouses, delivery drivers, Chinese gaming workers, Filipino content moderators, and rural American search engine optimizers. Repetitive yet stressful, boring yet often emotionally demanding, these jobs require little formal qualification, but can demand a large degree of skills and knowledge. This work is often hidden behind the supposed magic of algorithms and thought to be automated, but it is in fact highly dependent on human labor. 
    
  The workers of today’s digital factory are not as far removed from a typical auto assembly line as we might think. Moritz Altenried takes us inside today’s digital factories, showing that they take very different forms, including gig economy platforms, video games, and Amazon warehouses. As Altenried shows, these digital factories often share surprising similarities with factories from the industrial age. As globalized capitalism and digital technology continue to transform labor around the world, Altenried offers a timely and poignant exploration of how these changes are restructuring the social division of labor and its geographies as well as the stratifications and lines of struggle.

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  Ulcers

  Hippocrates

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  The ancient Greek physician Hippocrates is often credited with being the first to identify ulcers as a medical condition. In his famous treatise On the Sacred Disease, Hippocrates describes ulcers as open sores that can occur on the skin or mucous membranes. He notes that ulcers are often painful and may be accompanied by fever, swelling, and redness. Read in English, unabridged.

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  What Do Bees Think About?

  Mathieu Lihoreau

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  Explore the mind of a bee and learn what drives its behavior. 
   
   
   
  Have you ever observed a bee up close and wondered what was going on inside its head? Like ours, insects' brains take up most of the space in their heads, but their brains are smaller than a grain of rice, only 0.0002% as large as ours. But what purpose does the insect brain serve, and how does that drive their creativity, morality, and emotions? 
   
   
   
  Bees in particular exhibit unexpected and fascinating cognitive skills. In What Do Bees Think About? animal cognition researcher Mathieu Lihoreau examines a century of research into insect evolution and behavior. He explains recent scientific discoveries, recounts researchers' anecdotes, and reflects on the cognition of these fascinating creatures. Lihoreau's and other scientists' research on insects reinforces the importance of protecting and preserving insects such as bees: after all, our survival on the planet is deeply dependent on theirs. This book provides an eye-opening window into the world of insect cognition and echoes an important ecological message about bees—they are intelligent creatures sharing the same fragile ecosystem as us.

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  Gunpowder and the Printing...

  Editors Charles River

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  In addition to the wheelbarrow, the seismograph, the waterwheel, deep drilling, suspension bridges, and ship rudders, among countless other life-changing contraptions, the Chinese developed what were later dubbed the “Four Great Inventions of China.” Two of those were gunpowder and printing, which both spread through South Asia and the Middle East before making it to Europe.  
  For a time, gunpowder was a mere curiosity, but its destructive power and military potential would be realized quickly. The first record of a cannon in Europe comes from a manuscript written in 1326, which has an illustration showing an armored man with what looks like a slow match lighting a vase-shaped object. This crude cannon was called a pot de fer in French and vasi in Italian. While medieval engineers developed new types of cannons and explosives capable of destroying walls and castles, others were making the first handguns possible. European sources first mentioned the widespread use of handgonnes, as they were often called, in the late 14th century, precisely the time when gunpowder became cheaper.  
  	The history of printing was for ancient Asia an advancement in culture and communication, but for Europe in the 15th century, it was much more, plunging the continent into a new paradigm and aligning it for the modern world. Its importance is often overlooked, but the timeliness of the printing machine was equivalent to the invention of alphabets in antiquity and ranks up there with the digital revolution and the introduction of the internet. Put simply, it made the Renaissance possible and led to the modernization of Europe. Based on earlier Asian principles, Johannes Gutenberg’s movable type printing press propelled an industry that led to the education of the West and ultimately removed the tight grip of the Vatican from daily European life. 

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  TypeScript - A comprehensive...

  Et Tu Code

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  Master TypeScript, the popular JavaScript superset, with this comprehensive guide! 
  Learn how to write better, more maintainable code using TypeScript's advanced features like type checking, interfaces, classes, and modules. 
  This book covers everything from the basics of TypeScript syntax to advanced topics like working with third-party libraries and integrating with other development tools. 
  With real-world examples and step-by-step tutorials, you'll be able to apply your new skills to build robust and scalable applications. 
  Whether you're a beginner or an experienced developer, this guide will help you unlock the full potential of TypeScript and take your coding skills to the next level.

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  Machine Learning with Python -...

  Alexander Cane

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  Ways to combat retraining depend on the algorithm and consist of the correct values of the trainer's met parameters. In practice, model estimation is not performed on the same input data that was used to train the model. Divide 10-20% of all available data into a separate set and call it a set for evaluation. We will bring the other 10-20% into the set for ratification, and 60-80% of the remaining ones will be given to the trainer. The principle of data sharing depends on the data and the task. Random sampling is often a good method if inputs are independent of each other, and there is no strong imbalance between the number of positive and negative entries. 
  The intuitive analogy here is the same as with university studies: the teacher solves some problems with students in pairs and gives other’s similar tasks in the exam. What is important here (both in teaching students and models) is that these tasks are varied, and students cannot simply memorize the answers, and those who have mastered the material (similar tasks) will be able to repeat the thought process and answer correctly. 
  In machine learning, we split into data two sets: we will use the evaluation set to evaluate each model we train, using different approaches, algorithms, and model types to select the best one. That is, for each model, we will have two precision values - precision on the training dataset and precision on the evaluation dataset. It is normal for the former to be higher than the second, but not significantly. A big difference indicates retraining.

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