Outros livros que poderiam interessá-lo

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  Artificial Intelligence and Data...

  Alexandre Ribas Semeler

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  This book constitutes a comprehensive exploration of two pivotal domains that are indispensable for comprehending the contemporary challenges confronting science and society: artificial intelligence and data science. These disciplines profoundly influence the generation of knowledge, the development of innovations, and the resolution of complex problems in various domains of social, economic, political, and cultural life. Entitled Artificial Intelligence and Data Science Practices in Scientific Development, this book compiles studies and applications from research groups collaborating at the intersection of technology, information, and scientific innovation and cultural areas.

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  Edge Computing for Data...

  SAM CAMPBELL

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  "Edge Computing: Unleashing the Power of Distributed Data Processing" provides a comprehensive exploration of the rapidly evolving field of edge computing. From its historical roots to its current applications across various industries, this book delves into the architectures, frameworks, and technologies that make edge computing a transformative force in the digital landscape. 
  Readers will gain insights into the challenges and solutions associated with edge computing, along with practical strategies for implementation. Through real-world use cases, the book demonstrates how edge computing is reshaping industries such as healthcare, manufacturing, and transportation. 
  With a focus on the future, the book explores emerging technologies, ethical considerations, and the social and economic impact of edge computing. Whether you're a technology enthusiast, industry professional, or decision-maker, this book serves as a valuable guide to understanding and harnessing the potential of edge computing for data processing in the modern era. 
   

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  Graph Data Science with Python...

  Timothy Eastridge

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  Practical approaches to leveraging graph data science to solve real-world challenges.
  Book Description
  Graph Data Science with Python and Neo4j is your ultimate guide to unleashing the potential of graph data science by blending Python's robust capabilities with Neo4j's innovative graph database technology. From fundamental concepts to advanced analytics and machine learning techniques, you'll learn how to leverage interconnected data to drive actionable insights. Beyond theory, this book focuses on practical application, providing you with the hands-on skills to tackle real-world challenges. You'll explore cutting-edge integrations with Large Language Models (LLMs) like ChatGPT to build advanced recommendation systems. With intuitive frameworks and interconnected data strategies, you'll elevate your analytical prowess. This book offers a straightforward approach to mastering graph data science. With detailed explanations, real-world examples, and a dedicated GitHub repository filled with code examples, this book is an indispensable resource for anyone seeking to enhance their data practices with graph technology. Join us on this transformative journey across various industries, and unlock new, actionable insights from your data. ?
  Table of Contents
  1. Introduction to Graph Data Science
  2. Getting Started with Python and Neo4j
  3. Import Data into the Neo4j Graph Database
  4. Cypher Query Language
  5. Visualizing Graph Networks
  6. Enriching Neo4j Data with ChatGPT
  7. Neo4j Vector Index and Retrieval-Augmented Generation (RAG)
  8. Graph Algorithms in Neo4j
  9. Recommendation Engines Using Embeddings
  10. Fraud Detection      
  CLOSING SUMMARY      The Future of Graph Data Science      
  Index

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  Byja Blueprint - An Introductory...

  MD Byron Jasper

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  Byja Blueprint: An Introductory Guide to Direct Primary Care for Doctors, Patients, and Businesses by Dr. Byron Jasper is a comprehensive exploration into the innovative healthcare model of Direct Primary Care (DPC). This book seeks to educate readers on the fundamental differences between DPC and traditional healthcare models, highlighting the financial, operational, and relational benefits of adopting DPC. 
    
  Dr. Jasper presents Direct Primary Care as a transformational solution to the limitations of the traditional insurance-based medical system, which often results in rushed patient visits, excessive paperwork, and high costs. Through DPC, patients gain access to personalized, timely care with transparent pricing, while physicians experience reduced administrative burdens and increased job satisfaction. 
    
  This book explores various aspects of DPC, including its benefits for patients, such as more individualized care and direct access to their doctors, and for businesses, which can achieve significant cost savings and enhance employee health and productivity. It also addresses common misconceptions about Direct Primary Care, such as its perceived exclusivity and limitations in scope, by providing factual clarifications and real-life stories of patients and doctors thriving under this model. 
  Byja Blueprint serves as both an educational resource and an inspirational guide, advocating for a healthcare system that prioritizes the doctor-patient relationship and delivers high-quality, affordable care. Dr. Jasper's insights and practical advice make this book a valuable resource for healthcare professionals considering the DPC model, patients seeking a more tailored healthcare experience, and businesses looking for effective employee health solutions.

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  Deep Learning with Python for...

  Brandon Scott

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  "Deep Learning with Python for Beginners" is your gateway to the revolutionary world of artificial intelligence. Written specifically for novices, this book guides you through the foundational concepts of machine learning and deep learning, using Python—the most popular programming language in the field. 
  From setting up your Python environment to mastering data manipulation with libraries like NumPy and Pandas, you'll gain the essential skills needed to tackle the exciting challenges of AI. Dive into TensorFlow and Keras, the powerhouse frameworks that simplify building complex neural networks. You'll learn by doing, creating your first neural network, and progressively exploring more sophisticated models such as convolutional and recurrent neural networks. 
  Each chapter is packed with clear explanations, practical examples, and hands-on projects to build your confidence and expertise. Whether you're analyzing images, unraveling linguistic nuances in texts, or predicting future trends, this book provides the tools and techniques to illuminate the path forward. 
  By the end of "Deep Learning with Python for Beginners," you'll not only understand the science behind deep learning but also be equipped to join the next wave of AI innovators and contributors. Start your journey into the fascinating world of AI with this essential guide!

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  River Magic - Tales from a Life...

  Mark Angelo

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  River Magic: Tales from a Life on 1000 Rivers takes the reader on an amazing global adventure by river. Mark Angelo, one of the world’s most acclaimed paddlers and river conservationists, who has paddled more rivers than perhaps anyone on Earth, recounts a selection of his encounters with amazing animals, big fish, unique cultures, and wild rivers. This is a collection of short stories, each captivating and often spellbinding, with a conservation underpinning. The book enables readers of all ages to better appreciate the value and magic of rivers along with the need to better care for them.

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