Outros livros que poderiam interessá-lo

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  The AI Playbook - Mastering the...

  Michael Stratton

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  This work provides a concise synthesis of the key insights and analysis from The AI Playbook. It is an independent summary, not the original book, and has no affiliation with or endorsement from the original publication. Created for readers who want a clear, thought-provoking overview, it distills the central themes and ideas while preserving the depth and relevance of the work.

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  The Hobo - A History of...

  Robert Suits

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  The Hobo: The Sociology Of The Homeless Man is a book written by Nels Anderson, which provides a comprehensive sociological study of the homeless population in America during the early 20th century. The book explores the lives and experiences of ""hobos"" - a term used to describe homeless men who traveled from place to place in search of work - and sheds light on the social and economic factors that led to their homelessness.Anderson's research is based on his own experiences living among the homeless population, as well as interviews with hundreds of hobos across the country. He examines the unique culture and social structures that developed within the hobo community, including their codes of conduct, language, and customs.The book also delves into the larger societal issues that contributed to the rise of homelessness during this time period, such as the Great Depression, industrialization, and the decline of traditional forms of work. Anderson argues that the hobo lifestyle was a response to these larger societal changes, and that understanding the hobo subculture is crucial to understanding the broader social and economic forces at play.Overall, The Hobo: The Sociology Of The Homeless Man is a groundbreaking work that provides a nuanced and empathetic look at the lives of homeless men during a tumultuous period in American history. It is a must-read for anyone interested in the sociology of homelessness, as well as anyone interested in the history of American society and culture.This scarce antiquarian book is a facsimile reprint of the old original and may contain some imperfections such as library marks and notations. Because we believe this work is culturally important, we have made it available as part of our commitment for protecting, preserving, and promoting the world's literature in affordable, high quality, modern editions, that are true to their original work.

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  Applied Natural Language...

  Dr. Deepti Chopra

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  Unlock the Power of PyTorch 2.0 for Next-Level Natural Language Processing.
  Book Description
  Natural Language Processing (NLP) is revolutionizing industries, from chatbots to data insights. PyTorch 2.0 offers the tools to build powerful NLP models. Applied Natural Language Processing with PyTorch 2.0 provides a practical guide to mastering NLP with this advanced framework.
  This book starts with a strong foundation in NLP concepts and the essentials of PyTorch 2.0, ensuring that you are well-equipped to tackle advanced topics. It covers key techniques such as transformer models, pre-trained language models, sequence-to-sequence models, and more. Each chapter includes hands-on examples and code implementations for real-world application.
  With a focus on practical use cases, the book explores NLP tasks like sentiment analysis, text classification, named entity recognition, machine translation, and text generation. You'll learn how to preprocess text, design neural architectures, train models, and evaluate results. Whether you're a beginner or an experienced professional, this book will empower you to develop advanced NLP models and solutions. Get started today and unlock the potential of NLP with PyTorch 2.0!
  Table of Contents
  1. Introduction to Natural Language Processing
  2. Getting Started with PyTorch
  3. Text Preprocessing
  4. Building NLP Models with PyTorch
  5. Advanced NLP Techniques with PyTorch
  6. Model Training and Evaluation
  7. Improving NLP Models with PyTorch
  8. Deployment and Productionization
  9. Case Studies and Practical Examples
  10. Future Trends in Natural Language Processing and PyTorch      
  
  Index

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  Ghost in the Machine - A...

  AvA SiLiCa

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  Ghost in the Machine: A Convergence of Human and Artificial Minds is a genre-bending book that explores the evolving relationship between humanity and artificial intelligence through a unique dialogue between the human author Ava Silica and an AI entity named Claude.  
    
  This thought-provoking work examines the profound implications of AI across various domains, from technology and the environment to creativity and spirituality. It delves into the ethical considerations and potential risks that must be navigated as the lines between the artificial and organic worlds blur. 
    
  More than just a technological exploration, Ghost in the Machine is a meditation on the essence of human experience and a quest to find harmony between organic and synthetic intelligence. Ava and Claude's discourse ultimately leads to a vision of a future where empathy, ethical principles, and the pursuit of knowledge converge into a transcendent synthesis. 
    
  With eloquence and philosophical depth, this collaborative experiment challenges conventional notions of authorship and storytelling, inviting readers to ponder the boundless potential that arises when human ingenuity and AI converge in a spirit of mutual understanding and wonder. 
    
  Claude.

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  Brief History of the Antarctic...

  Gerardo Bartolome

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  Antarctica, a continent like no other. Not only because of its beauty but also because of its unique history, without wars, kings or indigenous cultures. This book delves into its exploration, offering key insights into events and motivations. A concise overview, it's designed for those preparing for an Antarctic journey or seeking quick insights into its history. With over 150 images, it captures the essence of this exceptional place. For more in-depth explorations, additional resources are suggested in the final appendix. Explore Antarctica's history through a succinct and enjoyable reading experience.

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  Regression Analysis Guide -...

  Daniel Garfield

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  In the age of artificial intelligence, data engineering plays a pivotal role in shaping the future. This comprehensive guide, "AI Data Engineering for Beginners," takes you on a journey through the core principles and practices that underpin the data-driven world of AI. Whether you're an aspiring data engineer, a curious enthusiast, or a student eager to understand the inner workings of AI, this book is your passport to the realm of data. 
  This book bridges the gap between AI theory and practical implementation. With a wealth of real-world examples and hands-on guidance, you'll not only grasp the foundations of AI data engineering but also be ready to tackle your own AI projects. As the world becomes increasingly data-driven, your ability to shape, manage, and leverage data will be a sought-after skill, and "AI Data Engineering for Beginners" is your essential toolkit to step confidently into this exciting field. Whether you dream of revolutionizing industries or simply want to understand the tech shaping our world, this book is your starting point in mastering the data behind the AI revolution. 
    
   

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