Outros livros que poderiam interessá-lo

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  Meetings with Moths: Discovering...

  Katty Baird

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  Mossy greens, conker browns, cream, chocolate and deepest black; add stripes, swirls and splotches and you have some of the most striking wildlife Britain has to offer. 
  In Meetings with Moths ecologist Katty Baird roams Scotland seeking out, documenting and observing moths. Green Longhorns, Pimpinel Pugs and Peacock Moths are just some of the species that catch her attention as she climbs into holes, ventures behind waterfalls and wanders forests with her boundless curiosity. 
  But you needn’t travel far and wide to see beautiful moths. Katty shows that you can easily enjoy discovering moths and caterpillars without specialist knowledge by creating your own light trap or simply looking more closely at your immediate landscape. 
  Meetings with Moths is a story about green health and the power of a passion to sustain us. 
  In Meetings with Moths, Katty Baird explores the diverse habitats of Scotland, from the coastal shorelines to the lush ecosystems, making it the latest and best reference in ecology. Her passion for nature and animals, especially moths and butterflies, shines through, making this book a top pick for new and seasoned nature enthusiasts. 
  For fans of John Muir Laws (The Laws Field Guide to Sierra Birds), Arthur V. Evans (The Lives of Beetles), Timothy Snyder (Our Malady), Pete Dunne (The Courage of Birds), and Wendy Williams (The Language of Butterflies). 
  HarperCollins 2023

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  Time Series Data Analysis - A...

  Brian Paul

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  Time Series Data Analysis: A Comprehensive Guide for Very Beginner delves into the intricate world of time series analysis, offering readers a profound understanding of how to manage, analyze, and forecast time-dependent data. With an emphasis on practical application, this guide bridges the gap between theoretical concepts and real-world scenarios, making it an indispensable resource for anyone looking to master time series data. 
  From the fundamentals of time series components to the complexities of modern forecasting models, the book navigates through the nuances of stationarity, seasonality, and autocorrelation, equipping readers with the tools to identify and leverage patterns within time-dependent data. Through detailed exploration of data preparation, exploratory data analysis, and a variety of forecasting methods, from classical approaches like ARIMA to cutting-edge deep learning techniques, this book lays a solid foundation for predictive modeling. 
  Time Series Data Analysis: A Comprehensive Guide for Very Beginner is your key to unlocking the predictive power of time-dependent data. Embrace the opportunity to transform raw data into insightful forecasts that can drive decision-making and innovation in any field. 
   

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  The AI Revolution - Impact on...

  Torsten J. Koerting

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  Welcome to the world of project management in the age of AI. The revolution is here, and it's time to embrace it. As project managers, we are living in a world of constant change and disruption, and AI technology is transforming the way we work. We need to adapt, evolve, and embrace the opportunities that AI technology presents.    The potential of AI technology in project management is immense. It can help us to automate repetitive tasks, streamline processes, and deliver insights that were previously inaccessible. By leveraging AI technology, project managers can unlock new growth opportunities, increase profitability, and stay ahead of the competition.    However, the rise of AI technology also presents challenges for project managers. As project managers, we need to learn how to manage complex AI projects, collaborate with AI teams, and interpret AI-generated insights. We need to develop new skills, embrace new technologies, and adopt a growth mindset to succeed in the age of AI.    The challenge of managing AI projects requires project managers to learn new skills and approaches. For example, project managers need to understand how to manage projects with AI-driven analytics, such as machine learning algorithms, and how to integrate these insights into their project plans. Additionally, project managers need to be able to manage the complexity of AI projects, which often involve large amounts of data and multiple stakeholders.    To overcome these challenges, project managers need to adopt a growth mindset and embrace new technologies. This means being willing to learn new skills, experiment with new tools, and collaborate with AI teams. Project managers also need to be able to interpret AI-generated insights and incorporate them into their project plans effectively.    In this book, we explore the challenges facing project managers in the AI revolution and the specific needs project managers have to succeed in the age of AI. We provide strategies, tools, and resources for project managers to leverage AI technology to create value-based propositions and intellectual property.    We also share case studies and examples of successful AI projects, as well as stories of project managers overcoming challenges in the AI revolution. These examples illustrate the impact of AI technology on project management and provide lessons learned to help project managers understand how to apply these strategies and insights to their own projects.    Our goal is to help project managers unlock the full potential of AI technology and take their projects and organizations to the next level. We encourage the reader to reflect on their own skills and recognize the growth potential that AI technology presents. We want to inspire and motivate project managers to embrace the challenges and opportunities of the AI revolution.    So, are you ready to step into the unknown and embrace the growth potential of your company through AI-driven project management? Let's begin this journey together and unlock the power of AI technology.

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  Human Rights Robot Wrongs -...

  Susie Alegre

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  No longer an uncertain technology of the distant future, artificial intelligence is starting to shape every aspect of our daily lives, from how we think to who we love. 
   
  In this urgent polemic, leading barrister Susie Alegre explores the ways in which artificial intelligence threatens our fundamental human rights - including the rights to life, liberty and fair trial; the right to private and family life; and the right to free expression - and how we protect those rights. 
   
  Touching on the many profound ethical dilemmas posed by emerging technologies, and full of fascinating case studies, Human Rights, Robot Wrongs is a rallying cry for humanity in the age of AI.

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  Beat the Bots - A Writer's Guide...

  Jane K. Cleland

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  Beat the Bots offers science-based creativity techniques that guide you through the writing process to unlock your imagination and create compelling stories that resonate with emotional truth in ways AI can’t match. 
    
  Even though artificial intelligence is based on a technology called “machine learning,” computers can’t learn to be creative—but you can. This book will show you the way. AI is, by definition, derivative, not creative. It can’t bring rational judgment to determine the quality or value of its work. When you bring those capabilities to your writing, your stories will touch readers’ hearts and minds. 
    
  Just as real food is better for us than processed food, and actual social interactions are more meaningful than social media, when it comes to writing your story, artificial intelligence can’t replicate your individual human intelligence, imagination, and sensibility. Technical wizardry can’t tell your story. Only you can do that. Your uniqueness is what separates you from a chatbot, and explains why you can’t be replaced by an algorithm. You’ll succeed because you’re human, not in spite of it. 
    
  Through engaging FAQs, invaluable “Pro Tips,” and “AI Weighs In” revelations, you’ll be able to apply the writing lessons and creativity tactics to all aspects of storytelling, bringing your distinctive vision and voice to your projects in ways AI simply can’t. Thought-provoking, science-based guided exercises challenge you to apply each chapter’s lessons to your own writing. Whether you’re writing a novel, literary nonfiction, or a memoir, you’ll be able to write stories that are fresh and compelling—your stories—and those are the books that publishers want and readers crave. That’s how you’ll beat the bots.

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  Domain-specific LLMs -...

  Et Tu Code

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  This audiobook is a comprehensive guide to leveraging Language Models (LLMs) tailored for specific domains. Here's what each section offers: 
  Introduction to Domain-specific LLMs: Lay the groundwork by understanding the fundamentals of Domain-specific LLMs 
  Key Concepts in Domain-specific LLMs: Delve deeper into core principles like domain adaptation, fine-tuning, and transfer learning, 
  Creating Custom LLMs: Learn to build custom Language Models tailored to specific domains 
  Steps to Create LLMs: Follow a roadmap for creating Domain-specific Language Models, from data acquisition to model training and evaluation. 
  Popular LLMs: Explore popular models like BERT, GPT, and XLNet customized for specific industries, comparing features and performance. 
  Fine-tuning LLMs: Master techniques for optimizing model performance and adapting to new tasks in specialized domains. 
  Integration with Systems: Discover best practices for integrating LLMs into existing systems and workflows seamlessly. 
  Resources and Tools: Access a curated collection of resources, datasets, and tools to support LLM development. 
  Pre-trained Models: Harness pre-trained models to expedite development and enhance efficiency in LLM projects. 
  Security Considerations: Address security concerns related to LLM deployment, ensuring robustness and integrity. 
  Hugging Face LLMs: Discover Hugging Face's Domain-specific LLMs platform for accessing pre-trained models. 
  Whether you're a researcher, developer, data scientist, or industry professional, "Domain-specific LLMs" equips you with the knowledge, skills, and insights to harness the full potential of Language Models in specialized domains.

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