D'autres livres qui pourraient vous intéresser

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  Flatland: A Romance of Many...

  Edwin A. Abbott

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  Flatland: A Romance of Many Dimensions is a satirical novella by the English schoolmaster and clergyman Edwin Abbott Abbott. The story describes a two-dimensional world occupied by geometric figures, where of women are simple line-segments, while men are polygons with various numbers of sides. Written pseudonymous by "A Square", the book used the fictional two-dimensional world of Flatland to comment on the hierarchy of Victorian culture, but the novella's more enduring contribution is its examination of dimensions. This masterpiece of science (and mathematical) fiction is a delightfully unique and highly entertaining satire that has charmed readers for more than 100 years.

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  Data Engineering Guide for...

  Alan Murray

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  Data Engineering for Beginners demystifies the complex landscape of data infrastructure, offering a clear and accessible introduction to the essential concepts and tools that form the foundation of modern data management. 
  This book covers the core components of data engineering, including data pipelines, storage solutions, and processing frameworks, providing a solid understanding of how data flows through systems and how it can be optimized for analysis. Learn about the various types of data storage, from traditional on-premises solutions to cutting-edge cloud-based technologies, and explore practical strategies for building scalable, reliable, and efficient data architectures. 
  Gain hands-on insights into popular tools and technologies such as Hadoop, Amazon S3, and Azure Data Lake, and discover how to leverage these tools to manage and analyze vast amounts of data effectively. With real-world examples and practical tips, this guide equips you with the knowledge to tackle common challenges in data engineering and to develop robust data solutions tailored to your needs. 
  This book provides a clear path to mastering the core components and strategies essential for success in the field. 
   

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  Progressive Web Apps - Building...

  Steve Abrams

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  "Progressive Web Apps: Building Fast, Reliable, and Engaging Web Experiences" is a comprehensive guide that dives into the world of Progressive Web Apps (PWAs), offering developers and businesses a roadmap to creating cutting-edge web applications that deliver exceptional user experiences. 
  In this book, readers will embark on a journey to understand the core principles of PWAs and learn how to leverage them to build fast, reliable, and engaging web experiences. From the fundamentals of PWA architecture to advanced techniques for optimizing performance and accessibility, this book covers everything developers need to know to create PWAs that rival the functionality and performance of native applications. 
  Readers will explore topics such as service workers, caching strategies, responsive design, and offline functionality, gaining practical insights and best practices for building PWAs that work seamlessly across devices and network conditions. With step-by-step tutorials, real-world examples, and hands-on exercises, readers will master the skills needed to design, develop, and deploy PWAs that delight users and drive business results. 
  "Progressive Web Apps: Building Fast, Reliable, and Engaging Web Experiences" is your ultimate guide to creating next-generation web applications that redefine the digital experience. Dive in and discover how PWAs can revolutionize the way you build and interact with the web. 
   

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  Solo Automated - The AI...

  Jim Rosso

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  Every solo founder wakes up to the same impossible math. There are 24 hours in a day, and the business needs a founder, a marketer, a salesperson, a product developer, a customer support agent, an accountant, and a strategist. You cannot work seven times faster, and you cannot clone yourself. But you can build something better than a clone. 
  
   
  This book provides a complete blueprint for building an AI operating system that runs your business. You'll learn how to design every function of your business around artificial intelligence, treating AI not as a helper you occasionally consult but as the core infrastructure that runs your company. 
  
   
  Inside, you'll discover:• Why tool fragmentation is destroying your productivity• The four-layer architecture of an AI operating system• The Automation Decision Matrix that tells you what to automate• How to build your command center for managing everything• Creating a content and marketing engine that works without you• Automated sales and lead qualification systems• Customer support that handles 80% of inquiries autonomously 
  
   
  This is not a set-it-and-forget-it solution. It requires design, maintenance, and ongoing judgment. But the founders who commit to building their operating system fully will never want to go back.

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  Pet Health: - Veterinary Insight...

  Laura Reeves, Dr. Marty Greer

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  Pet Health: Veterinary Insight on Common Ailments, is a series of audio books specifically focused on canine health. It's designed to give listeners concrete, fact-based answers to common questions about their pets. The series will cover everything from contagious diseases to injuries; from emergencies to managing long term conditions; from cancer to behavior; and, from puppies to seniors. We hope you enjoy these deep dive conversations with Marty and Laura, as well as with Laura and other veterinary experts. If you still have questions, shoot us an e-mail at info@martyandlaurashow.com. We will answer them on the podcast in a mailbag episode.

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  ML-Driven Decision Making - A...

  Sam Miley

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  In a world where data grows faster than decisions can be made, organizations increasingly rely on machine learning to unlock insights, automate processes, and guide strategic action. ML-Driven Decision Making is a comprehensive, practical roadmap for anyone seeking to build intelligent systems that can analyze data, predict outcomes, and support smarter decision-making across industries. 
  Designed for beginners, intermediate learners, and professionals, this guide demystifies the full lifecycle of machine learning—from data preparation and feature engineering to model development, optimization, deployment, and monitoring. You’ll explore real-world applications, hands-on workflows, and proven techniques used by data scientists, ML engineers, and analytics teams to transform raw data into reliable predictive intelligence. 
  Whether you're building your first predictive model or scaling intelligent applications across enterprise systems, this book provides the knowledge needed to create solutions that are explainable, scalable, and high-performing. 
  What You Will Learn 
  ✔ Fundamentals of machine learning and predictive analytics 
  ✔ How to design and evaluate supervised, unsupervised, and reinforcement learning models 
  ✔ Real-world approaches to feature engineering, data cleaning, and model selection 
  ✔ Practical workflows for Python-based ML development 
  ✔ Techniques for model tuning, optimization, and interpretability 
  ✔ How to deploy models using APIs, cloud platforms, and MLOps pipelines 
  ✔ Best practices for responsible AI, bias reduction, and governance 
  ✔ Building end-to-end intelligent systems that support data-driven decisions 
  Why This Book Stands Out 
  This guide bridges theory with real-world implementation, offering clarity without oversimplification. You’ll gain the technical depth needed to build models, the strategic insight to deploy them effectively, and the confidence to make impactful, informed decisions powered by machine learning. 
   

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