Weitere Bücher, die Sie mögen werden

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  Beyond Measure - The Hidden...

  James Vincent

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  A vibrant account of how measurement has invisibly shaped our world, from ancient civilizations to the modern day. 
   
   
   
  From the cubit to the kilogram, the humble inch to the speed of light, measurement is a powerful tool that humans invented to make sense of the world. In this revelatory work of science and social history, James Vincent dives into its hidden world, taking listeners from ancient Egypt, where measuring the annual depth of the Nile was an essential task, to the intellectual origins of the metric system in the French Revolution, and from the surprisingly animated rivalry between metric and imperial, to our current age of the "quantified self." At every turn, Vincent is keenly attuned to the political consequences of measurement, exploring how it has also been used as a tool for oppression and control. 
   
   
   
  Beyond Measure reveals how measurement is not only deeply entwined with our experience of the world, but also how its history encompasses and shapes the human quest for knowledge.

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  Binaural Sleep Booster - Fall...

  Binaural Sleep Studios

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  Immerse yourself in this premium collection of seven binaural audio tracks, expertly crafted to guide you into deep, restful sleep.
   
  These carefully balanced, soothing tones and frequencies help quiet the mind, release accumulated tension, and usher you into a state of profound relaxation.
   
  With regular listening, you’ll find it easier to drift off peacefully and enjoy the restorative rest you deserve—all in 15 minutes or less. 
   
  For optimal results, we recommend using high-quality headphones.
   
  Total running time: 11+ hours.

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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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  Global Affairs - The...

  Marcus Klein

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  This book contains 3 titles, which are the following: 
  · Cybersecurity: Cybersecurity is no longer a niche concern for IT professionals but a critical issue that impacts everyone. From personal data breaches to large-scale corporate hacks, the risks of cyber attacks are more real and damaging than ever. Hackers, cybercriminals, and even state-sponsored entities have the ability to infiltrate systems, steal sensitive data, and disrupt critical services. The consequences of these actions can range from financial loss to the erosion of privacy, and in some cases, even national security threats. 
  · Global Disasters: The world is increasingly vulnerable to a wide array of disasters, both natural and man-made, that threaten our lives, economies, and ecosystems. These crises, which range from catastrophic earthquakes to the far-reaching impacts of climate change, have become more frequent, intense, and interconnected. While the planet has always been subject to the forces of nature, human activity has amplified many of these events, while also introducing new, unprecedented risks. Natural disasters, like hurricanes, wildfires, and floods, have become an inevitable part of the global landscape, but they are now exacerbated by the ongoing environmental degradation we’ve caused. 
  · Drug Cartels: Drug cartels have become a pervasive and highly organized criminal force with a significant global reach. These powerful syndicates control large portions of the illegal drug trade, operating not only within their home countries but across continents. Their operations extend far beyond drug trafficking, often influencing global markets, politics, and even social structures. The history of drug cartels is intertwined with the rise of drug consumption worldwide, as their growth is directly linked to the increasing demand for illicit substances such as cocaine, heroin, methamphetamines, and marijuana.

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  The Shocking Truth about...

  Zoey Fraisers

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  Artificial Intelligence (AI) has become one of the most discussed and transformative technologies of the modern era. While its roots trace back to early theoretical concepts and the works of pioneers like Alan Turing and John McCarthy, AI today represents a far more advanced reality. At its core, AI is the simulation of human intelligence in machines, particularly systems designed to think and learn like humans. This can include tasks such as problem-solving, pattern recognition, language processing, and even decision-making. 
  The concept of AI has evolved significantly over the past few decades. In the 1950s, Turing’s “Imitation Game,” later known as the Turing Test, set the stage for AI development by proposing that machines could exhibit intelligent behavior equivalent to that of humans. AI research started slow, plagued by limited computing power and a lack of understanding of the human brain's complexities. However, breakthroughs in machine learning, neural networks, and data processing have allowed AI to progress rapidly, particularly over the last two decades. 
  As AI becomes an integral part of daily life, its impact is undeniable. From virtual assistants like Siri and Alexa to self-driving cars, AI is increasingly present in everything from business operations to personal devices. Major corporations and governments are investing heavily in AI research, not only for its commercial potential but also for its ability to solve complex global challenges, from improving healthcare to addressing climate change.

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  Is the Algorithm Plotting...

  Kenneth Wenger

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  Artificial intelligence is everywhere—it’s in our houses and phones and cars. AI makes decisions about what we should buy, watch, and read, and it won’t be long before AI’s in our hospitals, combing through our records. Maybe soon it will even be deciding who’s innocent, and who goes to jail . . .But most of us don’t understand how AI works. We hardly know what it is.In "Is the Algorithm Plotting Against Us?", AI expert Kenneth Wenger deftly explains the complexity at AI’s heart, demonstrating its potential and exposing its shortfalls. Wenger empowers readers to answer the question—What exactly is AI?—at a time when its hold on tech, society, and our imagination is only getting stronger.

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