Altri libri che potrebbero interessarti

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  Guide to Artificial Intelligence...

  SAM CAMPBELL

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  Embark on a captivating journey into the realm of artificial intelligence with "Guide to Artificial Intelligence for Beginners" In this comprehensive guide, readers will find a clear and accessible exploration of the core concepts, applications, and ethical considerations surrounding AI. 
   From the foundational principles of machine learning to the intricate workings of neural networks, this book equips beginners with the knowledge they need to navigate the ever-evolving landscape of AI. Discover the impact of AI in everyday life, from virtual assistants to recommendation systems, and gain insights into its transformative influence across diverse industries such as healthcare, finance, and entertainment. 
   However, this guide doesn't shy away from the challenges and ethical considerations that come with AI. Explore the issues of bias and fairness, ethical dilemmas, and the imperative to address the "black box" problem. As AI continues to shape the future, gain insights into emerging trends and the impact on jobs and society. 
   "Guide to Artificial Intelligence for Beginners" is designed to be an inclusive resource, suitable for students, professionals, and anyone intrigued by the wonders of artificial intelligence. Packed with practical advice, online resources, and a glossary of key terms, this guide is your passport to understanding and navigating the complexities of AI. Whether you're just starting your AI journey or seeking to deepen your knowledge, this book is your indispensable companion in unraveling the mysteries of artificial intelligence. 
   

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  The Martians - The True Story of...

  David Baron

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  In the early 1900s, many Americans actually believed we had discovered intelligent life on Mars, as bestselling science writer David Baron chronicles in The Martians, his truly bizarre tale of a nation swept up in Mars mania. 
   
   
   
  At the center of Baron's historical drama is Percival Lowell, the Boston Brahmin and Harvard scion, who observed "canals" etched into the surface of Mars. Lowell devised a grand theory that the red planet was home to a utopian society that had built gargantuan ditches to funnel precious meltwater from the polar icecaps to desert farms and oasis cities. The public fell in love with the ambitious amateur astronomer who shared his findings in speeches and wildly popular books. 
   
   
   
  While at first people treated the Martians whimsically―Martians headlining Broadway shows, biologists speculating whether they were winged or gilled―the discussion quickly became serious. Inventor Nikola Tesla announced he had received radio signals from Mars; Alexander Graham Bell agreed there was "no escape from the conviction" that intelligent beings inhabited the planet. Martian excitement reached its zenith when Lowell financed an expedition to photograph Mars from Chile's Atacama Desert, resulting in what newspapers hailed as proof of the Martian canals' existence.

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  LLMs and Generative AI for...

  Manish Mathur, Kerrie Holley

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  Large language models (LLMs) and generative AI are rapidly changing the healthcare industry. These technologies have the potential to revolutionize healthcare by improving the efficiency, accuracy, and personalization of care. This practical book shows healthcare leaders, researchers, data scientists, and AI engineers the potential of LLMs and generative AI today and in the future, using storytelling and illustrative use cases in healthcare. 
   
   
   
  Authors Kerrie Holley and Manish Mathur, former Google healthcare professionals, guide you through the transformative potential of large language models (LLMs) and generative AI in healthcare. From personalized patient care and clinical decision support to drug discovery and public health applications, this comprehensive exploration covers real-world uses and future possibilities of LLMs and generative AI in healthcare. 
   
   
   
  With this book, you will: understand the promise and challenges of LLMs in healthcare; learn the inner workings of LLMs and generative AI; explore automation of healthcare use cases for improved operations and patient care using LLMs; dive into patient experiences and clinical decision-making using generative AI; review future applications in pharmaceutical R&D, public health, and genomics; and understand ethical considerations and responsible development of LLMs in healthcare.

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  Data Analyses - Detailed...

  Benjamin Farrar

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  An extensive guide to help you analyze data more effectively.  
  Learn more about how to analyze data now! Explore the field of data science and the way to analyze big and small data. This elaborate guide will take you on a journey to multiple aspects of this skill. There is a trick, a science, to doing it the right way, and some of the most important secrets will be revealed in the chapters ahead of you. Dive into the complicated matter of analyzing and mining for data correctly. Forget about intuition or assumptions.  
  You’ll learn, among others:Linear, probabilistic, and other models to use in the visualization and analysis of data you have found.Systems such as clustering, viewing genetic algorithms, and neural methods.Assessment analysis strategies, organization, and numeric predictions.Modeling data and imagining.The three Vs of big data and what to do with them.Software recommendations and applications.Purposes for health care, business, and industrial data.Tips on analyzing decision trees, regression, and sentiment.Attributes, classifications, data sets, and kinds of learning you must recognize to fully be aware of that with which you are dealing.Data quality and data quantity thoughts.Data-mining procedure steps, including CRISP-DM and SEMMA.Machine algorithms and interesting side notes regarding them.Instructions, infrastructure, edition, and other methods. 
  Data creates truths you can trust in if you draw the right conclusions. Drawing those conclusions involves clear skills and a background in information that leads to the correct steps. If this is up your alley, the best thing to do for you right now is to start listening.  
  Add this audiobook to cart now!

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  The Atlas of Deadly Plants -...

  Jane Perrone, Dr Sarah E Edwards

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  Poisonous plants have intrigued and beguiled humans throughout history, and this book will take readers on a world tour of 50 of the most toxic and fascinating species of plants and fungi.  
  This book will display intricate illustrations and include information on the toxic effects of each plant, peppered with stories of some of the world’s most high-profile poison cases. Discover how we have harnessed the power of some of the planet’s deadliest plants to create cutting-edge medicines, and how others have been used for centuries for recreational and ritual purposes.  
  This riveting book sheds light on the most infamously poisonous plants our Earth has to offer, and their often detrimental effects. This luxuruiously illustrated volume blends gorgeous artwork and botanical science to reveal the interesting nature of these sinister sproutings. Ideal for curious gardeners and enthusiasts of the radical, natural world The Atlas of Deadly Plants serves as a cautionary guidebook and a clever celebration of the dark side of botany. An absolute must-read for the gardeners and ‘PlantMoms’ alike! 

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  Feature Engineering for...

  Chuck Sherman

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  Unravel the art and science behind effective data analysis with this comprehensive guide to feature engineering. Crafted for beginners, this book is your gateway to understanding the pivotal role of features in extracting meaningful insights from data. 
  From the basics of feature engineering to hands-on techniques, this guide navigates through the intricate landscape of transforming raw data into powerful features. You'll explore the fundamental principles that underpin feature engineering and gain practical skills through real-world examples and case studies. 
  Whether you're a student taking your first steps into the realm of data science or a professional seeking to enhance your analytical toolkit, this guide provides a structured and accessible approach to feature engineering. Learn how to identify, create, and optimize features that unlock the true potential of your data. 
  Key Features: 
  ·        Comprehensive introduction to feature engineering concepts and techniques. 
  ·        Practical examples and case studies for hands-on learning. 
  ·        Step-by-step guidance for crafting effective data features. 
  ·        Insights into the impact of feature engineering on model performance. 
  ·        Tips and best practices for feature selection and optimization. 
  Equip yourself with the essential skills to transform raw data into actionable insights. 'Feature Engineering for Beginners' is your companion in the journey towards mastering the craft of feature engineering and unleashing the true potential of your data analysis endeavors. 
   

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