Weitere Bücher, die Sie mögen werden

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  The Book of the Moon - A Guide...

  Maggie Aderin-Pocock

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  Have you ever wondered if there are seasons on the moon or if space tourism will ever become commonplace? So has Dr. Maggie Aderin-Pocock. In fact, she earned her nickname “Lunatic” because of her deep fascination for all things lunar. In her lucidly written, comprehensive guide to the moon, Aderin-Pocock takes listeners on a journey to our closest celestial neighbor, exploring folklore, facts, and future plans. 
    
  She begins with the basics, unpacking everything from the moon’s topography and composition to its formation and orbit around the Earth. She travels back in time to track humanity’s relationship with the moon—beliefs held by ancient civilizations, the technology that allowed for the first moon landing, a brief history of moongazing, and how the moon has influenced culture throughout the years—and then to the future, analyzing the pros and cons of continued space travel and exploration. The Book of the Moon will be published for the 50th anniversary of the moon landing. 
    
  Includes an interview with the author.

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  The More You Know More You Close...

  Kelly Singleton Myers

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  The stakes could not be higher. 
  You love working in senior living sales but are under enormous pressure to get occupancy levels up. How you and your sales team treat a customer’s family member will impact them for the rest of their lives. 
  When it comes to having a profitable career in senior living sales, Kelly Singleton Myers knows that one trait stands above the rest: curiosity. The More You Know, the More You Close reveals how a deep sense of curiosity can transform your sales approach and lead to unprecedented success. 
  Featuring proven strategies, real-life examples, practical tips, and powerful psychological insights, The More You Know, the More You Close provides the tools and inspiration you need to immediately boost your sales performance. It will not only change the way you sell but will also enhance your clients’ satisfaction. Embrace curiosity. Close more deals. It’s that simple.

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  The Voyage of the Beagle

  Charles Darwin

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  A young Charles Darwin sets sail in 1831 aboard HMS Beagle, embarking on a five-year scientific expedition. The Beagle's mission is to chart the coast of South America, but for Darwin, the journey becomes a pivotal opportunity to collect extensive geological and biological data. His observations on diverse landscapes and unique species, particularly during his time on the Galapagos Islands, challenge prevailing scientific views and lay the groundwork for his groundbreaking theory of evolution by natural selection.

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  Database Design for Beginners -...

  May Sherry

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  Are you new to the world of database design and eager to build a solid foundation in creating and managing efficient data systems? Database Design for Beginners: A Practical Approach to Building and Managing Efficient Data Systems is your essential guide to mastering the principles and practices of effective database design. 
  This book is tailored specifically for beginners, offering a clear and practical approach to understanding the core concepts and techniques needed to design robust databases. Whether you’re looking to manage data for a small project or lay the groundwork for a more complex system, this guide provides step-by-step instructions and real-world examples to help you succeed. 
  What sets this book apart:Beginner-Friendly Approach: Simplifies complex concepts and presents them in an accessible manner, ideal for those new to database design.Practical Focus: Provides actionable insights and examples to help you apply what you’ve learned in real-world situations.Future Trends: Offers a glimpse into emerging technologies and trends in database management, ensuring you stay ahead in the field. 
  Database Design for Beginners will equip you with the knowledge and tools to build efficient, reliable, and scalable databases. Start your journey towards becoming a proficient database designer today! 
   

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  Ultimate Parallel and...

  Nabanita Dash

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  Unleash Julia’s power: Code Your Data Stories, Shape Machine Intelligence!
  Book Description
  This book takes you through a step-by-step learning journey, starting with the essentials of Julia's syntax, variables, and functions. You'll unlock the power of efficient data handling by leveraging Julia arrays and DataFrames.jl for insightful analysis. Develop expertise in both basic and advanced statistical models, providing a robust toolkit for deriving meaningful data-driven insights. The journey continues with machine learning proficiency, where you'll implement algorithms confidently using MLJ.jl and MLBase.jl, paving the way for advanced data-driven solutions. Explore the realm of Bayesian inference skills through practical applications using Turing.jl, enhancing your ability to extract valuable insights. The book also introduces crucial Julia packages such as Plots.jl for visualizing data and results.
  The handbook culminates in optimizing workflows with Julia's parallel and distributed computing capabilities, ensuring efficient and scalable data processing using Distributions.jl, Distributed.jl and SharedArrays.jl. This comprehensive guide equips you with the knowledge and practical insights needed to excel in the dynamic field of data science and machine learning.
  Table of Contents
  1. Julia In Data Science Arena
  2. Getting Started with Julia
  3. Features Assisting Scaling ML Projects
  4. Data Structures in Julia
  5. Working With Datasets In Julia
  6. Basics of Statistics
  7. Probability Data Distributions
  8. Framing Data in Julia
  9. Working on Data in DataFrames
  10. Visualizing Data in Julia
  11. Introducing Machine Learning in Julia
  12. Data and Models
  13. Bayesian Statistics and Modeling
  14. Parallel Computation in Julia
  15. Distributed Computation in Julia
  Index

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  Beyond Quantity - Research with...

  Jens Schröter, Andreas Sudmann,...

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  How do artificial neural networks and other forms of artificial intelligence interfere with methods and practices in the sciences? Which interdisciplinary epistemological challenges arise when we think about the use of AI beyond its dependency on big data? Not only the natural sciences, but also the social sciences and the humanities seem to be increasingly affected by current approaches of subsymbolic AI, which master problems of quality (fuzziness, uncertainty) in a hitherto unknown way. But what are the conditions, implications, and effects of these (potential) epistemic transformations and how must research on AI be configured to address them adequately?

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