Weitere Bücher, die Sie mögen werden

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  Windy Sleep Sounds - Soft Wind &...

  Sleeptime Publications

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  Drift Into Deep Relaxation with the Soothing Sounds of Wind and Nature. 
  Struggling to fall asleep or unwind? The gentle whispers of the wind and rustling leaves create a calming, immersive atmosphere that soothes the mind and promotes deep relaxation. This audiobook brings you four hours of natural wind soundscapes, designed to help you de-stress, focus, or sleep peacefully.Let Nature’s Breeze Carry You Into a State of Calm. 
  Research in Scientific Reports shows that nature sounds, including wind and rustling leaves, can lower heart rate, reduce stress, and improve sleep quality by mimicking the peaceful rhythms of the natural world.Simply Press Play and Let the Wind Guide You to Rest. 
  With this audiobook, you’ll experience: 
  ✅ Windy Woodland – A soft breeze weaving through towering trees 
  ✅ Windy Forest Dancing Leaves – Gentle rustling of leaves swaying in the wind 
  ✅ Winter Mountain Snowstorm – Crisp mountain winds and distant snowfall 
  ✅ Whispers of the Wind and Chilling Breeze – A serene and refreshing night windRelax, Unwind, and Sleep with Nature’s Soothing Winds. 
  Let the tranquil sounds of the wind wash over you, easing your mind into a state of deep relaxation. Press play now and immerse yourself in the peaceful whispers of nature.

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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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  The AI Odyssey - Navigating the...

  Catherine Sterling

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  The book "The AI Odyssey: Navigating the Future of Innovation and Technology" thoroughly examines the quickly changing field of artificial intelligence (AI) and its significant influence on a range of facets of contemporary life.  
  This book goes deeply into the principles of artificial intelligence (AI), giving readers a clear idea of what AI is and how it works. The initial part of the book traces the development of AI, emphasizing significant turning points and discoveries that have influenced the field. It provides a complex analysis of how artificial intelligence has developed from its theoretical inception to its current position as a pillar of technological advancement. 
  The book spends much time looking at how AI is used in different industries. The author skillfully demonstrates how artificial intelligence transforms healthcare, transportation, finance, and education industries. The book explains the transformative impact of AI through case studies and real-world examples, demonstrating how it is being utilized to increase production, improve efficiency, and open up new opportunities. 
  Moreover, the ethical and societal implications of AI are covered in this book. It explores the challenges and concerns about security, privacy, and the possibility of employment displacement. The book promotes a balanced viewpoint by addressing the necessity of ethical AI development and the significance of putting in place legal frameworks to guarantee that AI's advantages are maximized while lowering its risks.

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  Edge Computing for Beginners -...

  Saimon Carrie

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  Embark on a journey into the cutting-edge world of edge computing with this comprehensive guide. "Edge Computing: Simple Guide to Industry Applications and Future Trends" offers a deep dive into the revolutionary paradigm shift transforming the landscape of computing. 
  In Chapter 1, readers explore a myriad of industry applications and case studies, discovering how edge computing is reshaping healthcare, manufacturing, smart cities, and retail. From remote patient monitoring to predictive maintenance and personalized shopping experiences, learn how edge computing is driving innovation and efficiency across diverse sectors. 
  Chapter 2 takes readers on a journey into the future, exploring emerging trends and technologies shaping the evolution of edge computing. Dive into the integration of edge computing and IoT, the automation of edge workflows, and the critical importance of edge security. Prepare to be fascinated by the exploration of edge computing's role in space, from satellite operations to Mars exploration. 
  In Chapter 3, readers are equipped with the tools and resources to embark on their own edge computing journey. Learn how to build your edge computing lab, engage in hands-on projects, and discover valuable learning resources. Join the vibrant edge computing community through conferences, meetups, and hackathons, and become part of the forefront of innovation in this dynamic field. 
  "Edge Computing: Simple Guide to Industry Applications and Future Trends. Part 2" concludes with reflections on the future of edge computing, inviting readers to embrace the opportunities and challenges ahead.  
   

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  The Olive Season - Amour a New...

  Carol Drinkwater

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  “A lovely balance of memoir, travelogue and olive-growing how-to . . . Some of her adventures are quite funny.” —Publishers Weekly In this memoir, the author of The Olive Farm returns to the ten-acre property for which she and her fiancé scraped together their savings to buy—just back from their wedding on a tiny Polynesian island, loaded down with luggage and a large hand-painted didgeridoo. As Carol and Michel settle in as husband and wife, they experience the glamor of southern France at dinner parties in the company of aristocrats and at the world-renowned Cannes film festival, as well as the dirt-caked, sun-baked life of farmers—especially after their gardener heads to Algiers to arrange his youngest son’s wedding. For Carol, though, what matters most is that her longtime dream of motherhood finally promises to come true—and over the course of The Olive Season, she shares the story of her hopes and fears as she anticipates another kind of growth and nurturing. Alternately entertaining and emotionally poignant, this memoir is a rich portrait of love, longing, and the constant uncertainties of the cycle of life.

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  Invisible Worlds - Discovering...

  Dirk Fallon

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  The universe we observe with our naked eyes or through telescopes is only a fraction of the total cosmos. The rest of the universe, a vast portion, remains invisible and hidden from our view. This hidden matter is known as dark matter, dark energy, and other mysterious entities that make up the majority of the universe. Though we cannot directly observe these hidden components, their existence is inferred through indirect evidence, such as their gravitational effects on visible matter. The study of these hidden aspects of the universe is an ongoing effort to understand what makes up the majority of the cosmos. 
  One of the most significant mysteries in modern physics is the nature of dark matter. This form of matter doesn't emit, absorb, or reflect light, making it completely invisible to conventional instruments. Yet, its presence is essential for explaining the structure and behavior of galaxies. Without dark matter, galaxies would not have enough mass to hold themselves together. The gravitational influence of dark matter helps galaxies maintain their shape and stability, preventing them from being torn apart by their own rotational forces. Though we can't see dark matter, we can detect its effects on visible matter, such as the way galaxies rotate. 
  In addition to dark matter, dark energy is another invisible force that plays a crucial role in the universe. Dark energy is responsible for the accelerated expansion of the universe, a discovery that has stunned astronomers since the late 1990s. Unlike dark matter, which exerts a gravitational pull, dark energy pushes galaxies apart, counteracting the forces that would otherwise slow the expansion of the universe. This mysterious force is thought to make up about 68% of the universe's total energy density, yet little is known about its true nature. Understanding dark energy is one of the greatest challenges in modern cosmology.

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