D'autres livres qui pourraient vous intéresser

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  The Progress Illusion -...

  Jon D. Erickson

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  In The Progress Illusion, Jon D. Erickson charts the rise of the economic worldview and its infiltration into our daily lives as a theory of everything. Drawing on his own experience as a young economist inoculated in the 1980s era of "greed is good," Erickson shows how pseudoscience came to dominate economic thought. He pokes holes in the conventional wisdom of neo-classical economics, illustrating how flawed theories about financial decision-making and maximizing efficiency ignore human psychology and morality. Most importantly, he demonstrates how that thinking shaped our politics and determined the course of American public policy. The result has been a system that perpetually concentrates wealth in the hands of a few, while depleting the natural resources on which economies are based. 
   
   
   
  While the history of economics is dismal indeed, Erickson is part of a vigorous reform effort grounded in the realities of life on a finite planet. This new brand of economics is both gaining steam in academia and supporting social activism. The goal is people over profit, community over consumption, and resilience over recklessness. Erickson shows crafting a new economic story is the first step toward turning away from endless growth and towards enduring prosperity.

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  Bert Is Evil - The True Story...

  Bill Meeks

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  This is the story of the web's first viral hit. Bert Is Evil, a website created in 1997, “collected incriminating images and documents that prove that Bert is not the lovable harmless geek he so successfully makes us think he is.” The site sent shocks waves across the Internet, from New York to Bangladesh. Bill Meeks tells the story of Dino Ignacio, a young college student who rocked the online world with his satirical look at Bert from Sesame Street. Ignacio becomes embroiled in conflicts a world away, dodges the Children's Television Workshop, and suffers attacks from journalists as one of the web's first superstars.

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  Industrial Cybersecurity - A...

  Anand Shinde, Bipin Lokegaonkar

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  In today’s hyper-connected world, critical infrastructure — from power grids to manufacturing plants — forms the foundation of modern life. But with this connectivity comes vulnerability. Industrial Cybersecurity: A Practical Approach to OT Protection is your essential guide to defending Operational Technology (OT) systems against evolving cyber threats. 
  This audiobook is crafted for cybersecurity professionals, industrial engineers, IT managers, and students who want a hands-on, real-world approach to OT security. Whether you’re transitioning into OT domains or managing cyber-physical systems, this book equips you with the frameworks, tools, and strategies needed to protect your infrastructure. 
  What You’ll Learn 
  Unlike theoretical texts, this audiobook is packed with field-tested frameworks and actionable insights:Understand OT & IT Convergence: Learn how industrial systems differ from traditional IT, and why securing them requires a unique mindset.Master the Purdue Model: Explore layered network architecture and how each level — from sensors to enterprise — demands specialized controls.Implement NIST SP 800-82 Guidelines: Apply proven U.S. government frameworks to SCADA, DCS, PLC, and IIoT systems.Build a Cybersecurity Program: Create an OT-specific security charter, define roles, and implement strategies with measurable outcomes.Conduct Risk Assessments: Follow a complete NIST Risk Management Framework (RMF) lifecycle, with detailed tasks, checkpoints, and priorities.Apply Real-World Controls: From Zero Trust in ICS to anomaly detection and access control, get practical tools you can deploy today.

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  Mastering Large Language Models...

  Raj R

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  A Comprehensive Guide to Leverage Generative AI in the Modern Enterprise
  Book Description
  “Mastering Large Language Models with Python” is an indispensable resource that offers a comprehensive exploration of Large Language Models (LLMs), providing the essential knowledge to leverage these transformative AI models effectively. From unraveling the intricacies of LLM architecture to practical applications like code generation and AI-driven recommendation systems, readers will gain valuable insights into implementing LLMs in diverse projects. Covering both open-source and proprietary LLMs, the book delves into foundational concepts and advanced techniques, empowering professionals to harness the full potential of these models. Detailed discussions on quantization techniques for efficient deployment, operational strategies with LLMOps, and ethical considerations ensure a well-rounded understanding of LLM implementation.
  Through real-world case studies, code snippets, and practical examples, readers will navigate the complexities of LLMs with confidence, paving the way for innovative solutions and organizational growth. Whether you seek to deepen your understanding, drive impactful applications, or lead AI-driven initiatives, this book equips you with the tools and insights needed to excel in the dynamic landscape of artificial intelligence.
  Table of Contents
  1. The Basics of Large Language Models and Their Applications
  2. Demystifying Open-Source Large Language Models
  3. Closed-Source Large Language Models
  4. LLM APIs for Various Large Language Model Tasks
  5. Integrating Cohere API in Google Sheets
  6. Dynamic Movie Recommendation Engine Using LLMs
  7. Document-and Web-based QA Bots with Large Language Models
  8. LLM Quantization Techniques and Implementation
  9. Fine-tuning and Evaluation of LLMs
  10. Recipes for Fine-Tuning and Evaluating LLMs
  11. LLMOps - Operationalizing LLMs at Scale
  12. Implementing LLMOps in Practice Using MLflow on Databricks
  13. Mastering the Art of Prompt Engineering
  14. Prompt Engineering Essentials and Design Patterns
  15. Ethical Considerations and Regulatory Frameworks for LLMs
  16. Towards Trustworthy Generative AI (A Novel Framework Inspired by Symbolic Reasoning)      
  Index

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  The Line of the Ball -...

  Beh Chun Chuan

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  In the game of polo, "following the line of the ball" means staying on the optimal path to maintain momentum and control. For Dr. Beh Chun Chuan, this principle has guided not just his polo playing but his entire approach to business and life.

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  Streaming Data Mesh - A Model...

  Hubert Dulay, Stephen Mooney

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  Data lakes and warehouses have become increasingly fragile, costly, and difficult to maintain as data gets bigger and moves faster. Data meshes can help your organization decentralize data, giving ownership back to the engineers who produced it. This book provides a concise yet comprehensive overview of data mesh patterns for streaming and real-time data services. 
   
   
   
  Authors Hubert Dulay and Stephen Mooney examine the vast differences between streaming and batch data meshes. Data engineers, architects, data product owners, and those in DevOps and MLOps roles will learn steps for implementing a streaming data mesh, from defining a data domain to building a good data product. Through the course of the book, you'll create a complete self-service data platform and devise a data governance system that enables your mesh to work seamlessly. 
   
   
   
  With this book, you will design a streaming data mesh using Kafka; learn how to identify a domain; build your first data product using self-service tools; apply data governance to the data products you create; learn the differences between synchronous and asynchronous data services; and implement self-services that support decentralized data.

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