Otros libros que te pueden interesar

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  Love Your Mother - 50 States 50...

  Mallory McDuff

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  From elder voices opposing the Dakota Pipeline to young people running for office to advocate for change, every day we see real-life stories about how women are making a collective difference on climate justice. Women are also disproportionately impacted by climate change and thus are critical to transforming society away from dependence on fossil fuels and toward renewable energy and environmental equity. 
   
   
   
  As a mother and a professor of environmental education, Mallory McDuff wanted to give her two daughters and her students a roadmap to engage in climate justice in their communities, rather than be left feeling paralyzed by the enormity of the problem. She set out to find women of diverse ages, backgrounds, and vocations—one from each of the fifty US states—as inspiration for a new kind of leadership focused on the heart of the climate crisis. Love Your Mother lifts up the stories of these women working toward a viable future, from farmer and rancher Donna Kilpatrick in Arkansas to writer Latria Graham in South Carolina. 
   
   
   
  From Alabama to Alaska, from Wisconsin to Wyoming, these women are poets, physicians, climate scientists, students, farmers, writers, documentary filmmakers, and more. Their work lights the way for conversation and collective action in our homes and in the world. It's time we follow their lead.

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  Model Evaluation - Evaluating...

  Brian Murray

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  In the world of data warehousing, the accuracy and performance of models are crucial for effective data analysis and decision-making. "Model Evaluation" is a comprehensive book that provides a detailed overview of the evaluation process for data warehouse models. From understanding the basics of data warehousing to evaluating the performance of different types of models, this book covers the key concepts, techniques, and best practices for evaluating the accuracy and performance of data warehouse models. 
  The book begins with an introduction to data warehousing and its importance in modern organizations. It then delves into the various types of data warehouse models, including relational, dimensional, and multi-dimensional models, and their unique features and use cases. The book explores the challenges and considerations in evaluating the performance and accuracy of these different types of models, including data quality, data completeness, data consistency, and data timeliness. 
  "Model Evaluation" provides a comprehensive overview of the different evaluation techniques and methodologies used in data warehousing, such as benchmarking, performance metrics, data profiling, and data validation. It covers the best practices for evaluating the accuracy of data warehouse models, including data validation and verification techniques, data profiling and cleansing methods, and statistical analysis. 
  The book also discusses the importance of metadata in the evaluation process and how it can provide context and understanding of the data in the data warehouse. It covers topics such as data definitions, data models, data sources, and data transformations, and how they can impact the accuracy and performance of the data warehouse models.

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  Challenges and Future of...

  Santiago Machain

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  In the gripping conclusion to The Earth's Web Series, Challenges and Future of Terrestrial Ecosystems confronts the urgent threats facing Earth's ecosystems and explores the innovative solutions shaping their future. From the devastating impacts of climate change and biodiversity loss to the overexploitation of resources and the effects of urbanization, this volume lays bare the critical challenges our terrestrial landscapes face. 
  The book highlights how conservation strategies, Indigenous knowledge, and technological advancements are driving efforts to restore and protect these vital ecosystems. It also examines the role of global policies, community actions, and sustainable practices in building a harmonious future for life on Earth. With thought-provoking analysis and actionable insights, Challenges and Future of Terrestrial Ecosystems inspires readers to understand, preserve, and reimagine the delicate balance of our natural world.

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  Arachnophobia: Hypnosis Downloads

  Craig Beck

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  If you struggle with a fear, or phobia of spiders, (arachnophobia), it is perhaps impossible to imagine being relaxed around spiders.Even the idea of a spider (or the word) is enough to make many arachnophobics intimidated.But it is possible for you to be in the same room as a spider and disregard it, astounding as that may sound.Conquering your fear of spiders can be incredibly worry-free!All self-limiting beliefs, phobias and bad habits are simply bad programs buried in the subconscious area of the mind. Willpower is entirely ineffective in dealing with these issues because you are prevented from accessing the source of the problem.Craig Beck is a master hypnotist of twenty years standing and is also a respected timeline therapist and NLP master practitioner. He understands what makes people tick and more importantly how to access and remove the erroneous programs that cause us problems in everyday life.  Designed to quickly help you reduce and remove the overpowering fear of spiders; Use this powerful and proven MP3 hypnosis download to help with Arachnophobia. Unique speed hypnosis technique for rapid resultsEasy to use on any device including smartphonesRapidly reduce fear of snakesA highly effective solution to severe Arachnophobia Replace your self doubt with a new constructive habitThis kindle book includes a free MP3 download link for the accompanying hypnosis track.

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  Data Structures and Algorithms...

  Brian Paul

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  Embark on a transformative journey into the heart of problem-solving with "Data Structures and Algorithms for Beginners." Tailored for beginners, this comprehensive guide unravels the complexities of data structures and algorithms, turning what may seem daunting into an exciting exploration of logical thinking and efficient computation. 
  In the opening chapters, readers are gently introduced to the fundamental concepts, laying a solid foundation for the exciting adventure ahead. What are data structures, and why do algorithms matter? The book answers these questions and more, making the seemingly abstract world of computer science tangible and accessible. 
  Explore the core data structures such as arrays, linked lists, trees, and graphs, and grasp the essence of algorithmic paradigms like divide and conquer, greedy algorithms, and dynamic programming. The journey continues with practical applications, from searching and sorting to graph algorithms, offering readers a real-world perspective on how these concepts are utilized in solving everyday problems. 
  "Data Structures and Algorithms for Beginners" doesn't stop at the basics. Advanced topics like hashing, trie data structures, and complexity analysis are unveiled, giving readers a glimpse into the depth and breadth of the field. The journey concludes with invaluable tips for interview preparation, ensuring that readers are well-equipped to showcase their newfound knowledge in a professional setting. 
  Let the pages guide you through the maze of data structures and algorithms, transforming challenges into triumphs. Unlock the power of logical thinking and efficient problem-solving with "Data Structures and Algorithms for Beginners." Your journey begins now. 
   

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  Data-Driven Science and...

  SAM CAMPBELL

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  In the modern era, where data is the new gold, "Data-Driven Science and Engineering: Mastering the Art of Data-Driven Decision Making" serves as a comprehensive guide to harnessing the power of data for scientific inquiry and engineering innovation. This book bridges the gap between theoretical knowledge and practical application, offering a deep dive into the methodologies and tools that enable effective data analysis and decision-making processes. 
  Authored by leading experts in data science and engineering, this book is designed for a broad audience, from beginners seeking to understand the basics of data-driven techniques to professionals aiming to enhance their decision-making skills. It covers a wide range of topics, including the fundamentals of data collection and analysis, advanced statistical methods, machine learning algorithms, and the latest in artificial intelligence technologies. 
  "Data-Driven Science and Engineering" not only equips readers with the necessary tools and techniques but also explores the ethical and regulatory considerations of data usage. It emphasizes the importance of transparency, fairness, and accountability in data-driven decision-making, ensuring readers are well-versed in navigating the complexities of the digital age. 
  "Data-Driven Science and Engineering: Mastering the Art of Data-Driven Decision Making" is an invaluable resource for mastering the skills necessary to thrive in a data-centric world. This book will empower you to make informed decisions, optimize processes, and lead projects to success with confidence and precision. 
   

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