Altri libri che potrebbero interessarti

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  Interconnected Realities - How...

  Leslie Shannon

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  Explore how the metaverse is changing our lives 
   
   
   
  In Interconnected Realities, Leslie Shannon, Head of Trend and Innovation Scouting at Nokia, delivers an energizing and optimistic new take on the Metaverse. Starting with metaverse realms already in existence today, the book explores the purpose that each independent platform serves, as well as how all these disparate realms will ultimately be stitched together to permanently transform our personal and business lives. 
   
   
   
  A singularly insightful and informed exploration of a fascinating subject at the intersection of technology, business, and society, Interconnected Realities is an essential resource for executives, managers, board members, and other business leaders at companies in a wide range of industries, as well as tech enthusiasts, futurists, and anyone with an interest in the future of social interaction, business, or technology.

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  Predictive Maintenance -...

  May Sherry

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  Unlock the power of predictive maintenance with this comprehensive guide, designed for professionals and enthusiasts alike. Predictive Maintenance: Leveraging Data and Analytics for Optimal Equipment Performance delves into the cutting-edge techniques and technologies transforming how industries maintain and optimize their equipment. 
  In this book, you'll explore:Foundations of Predictive Maintenance: Understand the principles and benefits of moving from reactive and preventive maintenance to a data-driven predictive approach.Advanced Data Analysis Techniques: Learn how to harness statistical methods and machine learning algorithms to predict equipment failures with precision.Practical Implementation Strategies: Gain insights into developing and executing a successful predictive maintenance strategy, including selecting the right tools and technologies.Real-World Case Studies: Discover how leading organizations in manufacturing, energy, healthcare, and transportation are using predictive maintenance to enhance operational efficiency and reduce costs.Future Trends and Innovations: Stay ahead of the curve with a look at emerging technologies, such as advanced sensors and AI advancements, and their impact on predictive maintenance. 
  This book provides the knowledge and practical tools you need to implement predictive maintenance effectively. Embrace the future of maintenance with data-driven insights and keep your equipment running smoothly and efficiently. 
   

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  Data Preprocessing - Enhancing...

  Daniel Garfield

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  "Data Preprocessing: Enhancing Data for Analysis: The Art of Preprocessing" 
  Data preprocessing lays the foundation for successful data analysis, enabling us to extract valuable insights and make informed decisions. In this comprehensive guide, "Data Preprocessing: Enhancing Data for Analysis: The Art of Preprocessing," you will embark on a journey through the intricacies of data preprocessing and discover the essential techniques that enhance data quality and usability. 
  Written for both beginners and experienced data analysts, this book dives into the crucial steps of data preprocessing, unraveling the challenges and intricacies of working with raw data. You'll learn how to tackle common issues such as missing data, outliers, duplication, and redundancy, ensuring your datasets are cleansed and ready for analysis. 
  "Data Preprocessing: Enhancing Data for Analysis: The Art of Preprocessing" is your essential guide to mastering the art of data preprocessing. Equip yourself with the knowledge and tools to preprocess data effectively, ensuring your analyses yield accurate and meaningful insights. Prepare to embark on a transformative journey that will enhance your data analysis skills and elevate your decision-making capabilities in the data-driven era. 
   

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  Entropy - A Very Short...

  James Binney

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  Until the middle of the nineteenth century entropy and energy were confused with one another. The intellectual fog slowly cleared and now these words name subtle and powerful concepts. Most people think they know what energy is, but few could define entropy.This Very Short Introduction traces the emergence of entropy and energy as distinct concepts, and explains how entropy spread from thermodynamics into statistical mechanics, probability theory and data science. It explains the implications of entropy for heat pumps, solar cells, carbon capture, and liquified natural gas. Quantum mechanics and gravity open new horizons for entropy, and when combined in the quantum theory of black holes, they call into question our current understanding of material reality.

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  Paging God - Religion in the...

  Wendy Cadge

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  While the modern science of medicine often seems nothing short of miraculous, religion still plays an important role in the past and present of many hospitals. When three-quarters of Americans believe that God can cure people who have been given little or no chance of survival by their doctors, how do today’s technologically sophisticated health care organizations address spirituality and faith? 
    
  Through a combination of interviews with nurses, doctors, and chaplains across the United States and close observation of their daily routines, Wendy Cadge takes readers inside major academic medical institutions to explore how today’s doctors and hospitals address prayer and other forms of religion and spirituality. From chapels to intensive care units to the morgue, hospital caregivers speak directly in these pages about how religion is part of their daily work in visible and invisible ways. In Paging God: Religion in the Halls of Medicine, Cadge shifts attention away from the ongoing controversy about whether faith and spirituality should play a role in health care and back to the many ways that these powerful forces already function in healthcare today.

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  Deep Learning with Python - A...

  Brian Murray

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  Deep Learning with Python is a comprehensive guide to building and training deep neural networks using Python and popular deep learning frameworks. Whether you are a beginner or an experienced data scientist, this book provides a detailed understanding of the theory and practical implementation of deep learning. 
  Starting with an introduction to deep learning, the book covers essential topics such as neural network architecture, training and optimization, regularization, and transfer learning. It also covers popular deep learning frameworks such as TensorFlow, Keras, and PyTorch. 
  The book includes practical examples and step-by-step instructions to help you build and train deep neural networks for a variety of applications, including image and speech recognition, natural language processing, and time series analysis. You will also learn how to use advanced techniques such as convolutional neural networks, recurrent neural networks, and generative adversarial networks. 
  With its comprehensive coverage of deep learning and practical examples, this book is an essential resource for anyone interested in building and training deep neural networks using Python and popular deep learning frameworks. 
   

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