Weitere Bücher, die Sie mögen werden

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  ISO 50001 - A strategic guide to...

  Alan Field

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  Reduce energy costs and combat climate change with ISO 50001
  ISO 50001:2018, the international standard for energy management, provides a framework for organisations – both large and small – to manage and reduce their energy usage and associated costs. Implementing an effective EnMS (energy management system) that complies with ISO 50001 ensures that an organisation can:
  
  - Meet legal and contractual energy compliance requirements;
  - Save money by managing energy more efficiently;
  - Reduce its carbon footprint;
  - Increase energy security; and
  - Demonstrate a commitment to improved energy performance.
  With energy security concerns rising and climate change an existential threat, consumers are increasingly aware of sustainability issues.
  ISO 50001 – A strategic guide to establishing an energy management system provides a practical but strategic overview for leadership teams of what an EnMS is and how implementing one can bring added value to an organisation. It:
  
  - Explains how ISO 50001:2018 (which is based on ISO's Annex SL) differs from the previous version of the Standard;
  - Provides readers with a greater understanding of what energy management is and how taking a risk-based approach can save money and improve brand reputation; and
  - Covers how ISO 50001 can be implemented and how the EnMS can be integrated with other management systems, such as an ISO 14001 EMS (environmental management system).
  Your strategic guide to energy management and ISO 50001 – buy this book today!

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  Among the Trees at Elmridge

  Ella Rodman Church

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  On that bright spring afternoon when three happy, interested children went off to the woods with their governess to take their first lesson in the study of wild flowers, they saw also some other things which made a fresh series of Elmridge Talks," and these things were found among the trees of the roadside and forest." - Summary by Ella Rodman Church

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  Cold Plunges and Contrast Baths...

  Richard Jacobs

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  Richard Jacobs is a highly successful entrepreneur, accomplished podcast host, and author known for his significant contributions to various fields. As the founder of a research program and software platform, Richard has played a pivotal role in advancing groundbreaking work. 
  In October 2016, driven by a keen interest in emerging technologies such as artificial intelligence, 3D printing, regenerative medicine, Bitcoin, and blockchain, Richard embarked on a journey to unravel the mysteries of these fields. This passion culminated in the creation of the Future Tech Podcast. From the beginning, his goal was to find geniuses—the top 1% in their field who are almost impossible to reach from the outside. 
  Following a significant health crisis in 2017, Richard shifted his focus to health, medicine, and bioscience issues that impact us all, and the Finding Genius Podcast was born. His growing commitment to fostering understanding and innovation led him to establish the Finding Genius Foundation, a 501(c)(3) nonprofit supporting revolutionary research initiatives. 
  Driven by a mission to unearth transformative insights in the science of health and wellness, the foundation aims to make these insights accessible to everyday individuals who stand to benefit the most. Complementing this endeavor, Richard hosts two additional podcasts, The Good Question and Surviving Hard Times, both committed to delivering life-enriching and practical information. 
  Richard's extensive interviews with nearly 4,000 scientists, researchers, clinicians, CEOs, CSOs, entrepreneurs, and amateur scientists have resulted in a rich knowledge database and the Finding Genius book series, covering relevant and intriguing topics, including viruses, cancer, sleep health, and microplastics. He continues to be a driving force in entrepreneurship, podcasting, and philanthropy, leaving a lasting mark on the landscape of scientific exploration. 

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  Machine Learning - Unraveling...

  Chuck Sherman

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  "Machine Learning: Unraveling the Algorithms of Intelligence” In this captivating exploration, you'll traverse the ever-expanding realm of artificial intelligence and machine learning, guided by a comprehensive and insightful narrative. 
  From its origins in the visionary minds of early computer scientists to its current status as a driving force behind technological innovation, machine learning's evolution is vividly brought to life. Delve into the heart of supervised learning algorithms, where linear regression, logistic regression, decision trees, support vector machines, and neural networks form the bedrock of predictive analytics. 
  Venturing deeper, the book unravels the mysteries of unsupervised learning, illuminating clustering techniques, dimensionality reduction, and the crucial task of anomaly detection. With clarity and precision, it demystifies the captivating world of reinforcement learning, painting a vivid picture of agents learning to navigate and excel within complex environments. 
  The journey wouldn't be complete without the profound influence of deep learning and neural networks. Traverse the landscapes of multilayer perceptrons, convolutional neural networks, recurrent neural networks, and generative adversarial networks, witnessing the power of AI to understand and create. 
  Whether you're an AI enthusiast, a student diving into the world of data science, or a professional seeking to stay ahead in the AI race, this book promises to be your guiding light. With a balanced blend of theory, practical insights, and ethical considerations, it equips you to navigate the complexities of machine learning while fostering a deep appreciation for the intertwined destiny of humanity and technology." 
   

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  Data Quality Assurance -...

  Brian Paul

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   In the digital era, where data is as valuable as currency, maintaining impeccable data quality is not just an option—it's a necessity. "Data Quality Assurance: Strategies, Tools, and Insights for Exceptional Data Quality " serves as an indispensable resource for professionals who understand the critical role data plays in their organization's success and are seeking to implement or enhance their data quality initiatives. 
  Across industries, the quality of data directly influences decision-making, operational efficiency, customer satisfaction, and ultimately, profitability. However, ensuring high data quality is a complex challenge that involves more than just technology. It requires a deep understanding of data quality dimensions, a robust framework for data governance, and a culture that values data accuracy and integrity. 
  This book offers a holistic view of Data Quality Assurance (DQA), covering everything from the fundamental principles of data quality, through to advanced techniques for managing data in the era of Big Data and AI. Readers will learn to identify and address common data quality issues, select and implement the right tools and technologies, and establish metrics for ongoing monitoring and improvement. 
  Whether you are a data management professional aiming to refine your organization’s data quality practices, a business leader seeking to understand the impact of data quality on your bottom line, or a student of information technology or business analytics, "Data Quality Assurance: Strategies, Tools, and Insights for Exceptional Data Quality " is your go-to resource for mastering Data Quality Assurance in today’s data-driven world. 
  Unlock the full potential of your data. Start ensuring excellence today. 
   

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  Big Data Frameworks -...

  Mark Jackson

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  In the era of data-driven decision-making, managing and analyzing large-scale datasets has become a critical challenge for organizations across industries. Big Data Frameworks: Architectures, Tools, and Techniques for Managing Large-Scale Data.Comprehensive review of Apache Hadoop, Spark and Flink offers a comprehensive exploration of the essential frameworks and tools that enable effective big data management and analysis. 
  This book provides a deep dive into the architectures and technologies that power modern big data solutions. Beginning with foundational concepts, readers will gain an understanding of data lifecycle management and the core principles of big data ecosystems.  
  Beyond individual frameworks, the book addresses the integration of big data technologies with machine learning, explores cloud-based big data solutions, and emphasizes best practices for security and governance. 
  Each chapter is enriched with practical examples, real-world case studies, and actionable insights, making this book a valuable resource for data professionals, architects, and anyone involved in big data projects. Whether you're a beginner looking to understand the basics or an experienced practitioner seeking advanced techniques, Big Data Frameworks provides the knowledge and tools necessary to tackle the challenges of large-scale data management and analysis. 
  Unlock the power of big data and stay ahead in the rapidly evolving field with Big Data Frameworks: Architectures, Tools, and Techniques for Managing Large-Scale Data. Comprehensive review of Apache Hadoop, Spark and Flink. 
   

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