Outros livros que poderiam interessá-lo

• 

  Prompt Engineering That Works -...

  Tom Anderson

  • 0
  • 0
  • 0

  This audiobook is narrated by an AI Voice.   
  Are you tired of getting generic, unreliable results from ChatGPT and Claude? 
  You're not alone. Most business owners are "playing" with AI while a few are quietly rebuilding their operations around it—and pulling ahead fast. 
  The difference isn't the technology. It's prompt engineering mastery. 
  "Prompt Engineering That Works" is the definitive business guide for founders, managers, and operators who want measurable ROI from AI—not just clever demos. Written by Tom Anderson, a former Director of Engineering who walked away from corporate burnout to help entrepreneurs build sustainable, AI-powered businesses. 
  This isn't another ChatGPT tutorial. It's a field manual for business transformation. 
  Master the Frameworks That Actually Work: • Zero-shot and few-shot prompting that delivers consistent, professional results every time 
  • Chain-of-Thought reasoning that makes AI show its work and eliminates hallucinations 
  • Context engineering secrets that turn vague outputs into exactly what you need 
  • Structured outputs (JSON, tables, reports) that integrate directly with your systems 
  • Prompt chaining workflows for complex multi-step business processes 
  • ReAct patterns that connect AI to real-world data and tools 
  Real Applications Across Every Department: ✓ Customer Service Automation - Handle 70% of inquiries instantly with 92% satisfaction 
  ✓ Content Creation at Scale - Generate blogs, social media, and marketing copy 4x faster 
  ✓ Sales Enablement - Personalize outreach and accelerate pipeline velocity 
  ✓ Data Analysis - Transform raw data into actionable insights in minutes 
  ✓ Operations Efficiency - Automate documentation, reporting, and administrative workflows 
  What Makes This Book Different: Unlike academic AI texts or generic tutorials, every technique includes real-world examples, copy-paste prompt templates, and clear ROI calculations. You'll learn not just how to write prompts, but when each technique provides value and why they work.

  Ver livro

• 

  Tubes - A Journey to the Center...

  Andrew Blum

  • 0
  • 0
  • 0

  “Andrew Blum plunges into the unseen but real ether of the Internet in a journey both compelling and profound….You will never open an email in quite the same way again.”—Tom Vanderbilt, New York Times bestselling author of Traffic 
  In Tubes, Andrew Blum, a correspondent at Wired magazine, takes us on an engaging, utterly fascinating tour behind the scenes of our everyday lives and reveals the dark beating heart of the Internet itself. A remarkable journey through the brave new technological world we live in, Tubes is to the early twenty-first century what Soul of a New Machine—Tracy Kidder’s classic story of the creation of a new computer—was to the late twentieth.

  Ver livro

• 

  Hands-on ML Projects with OpenCV

  Mugesh S.

  • 0
  • 0
  • 0

  Be at your A game in building Intelligent systems by leveraging Computer vision and Machine Learning. 
  
  KEY FEATURES 
  - Step-by-step instructions and code snippets for real world ML projects. 
  - Covers entire spectrum from basics to advanced concepts such as deep learning, transfer learning, and model optimization
  - Loaded with practical tips and best practices for implementing machine learning with OpenCV for optimising your workflow. 
  
  DESCRIPTION
  This book is an in-depth guide that merges machine learning techniques with OpenCV, the most popular computer vision library, using Python. The book introduces fundamental concepts in machine learning and computer vision, progressing to practical implementation with OpenCV. Concepts related to image preprocessing, contour and thresholding techniques, motion detection and tracking are explained in a step-by-step manner using code and output snippets. 
  
  Hands-on projects with real-world datasets will offer you an invaluable experience in solving OpenCV challenges with machine learning. It’s an ultimate guide to explore areas like deep learning, transfer learning, and model optimization, empowering readers to tackle complex tasks. Every chapter offers practical tips and tricks to build effective ML models. 
  
  By the end, you would have mastered and applied ML concepts confidently to real-world computer vision problems and will be able to develop robust and accurate machine-learning models for diverse applications. 
  
  Whether you are new to machine learning or seeking to enhance your computer vision skills, This book is an invaluable resource for mastering the integration of machine learning and computer vision using OpenCV and Python. 
  
  WHAT WILL YOU LEARN 
  - Learn how to work with images and perform basic image processing tasks using OpenCV. 
  - Implement machine learning techniques to computer vision tasks such as image classification, object detection, and image segmentation. 
  - Work on real-world projects and datasets to gain hands-on experience in applying machine learning techniques with OpenCV. 
  - Explore the concepts of deep learning using Tensorflow and Keras and how it can be used for computer vision tasks. 
  - Understand the concept of transfer learning and how pre-trained models can be leveraged for new tasks. 
  - Utilize techniques for model optimization and deployment in resource-constrained environments. 
  - Implement end-to-end solutions and address challenges encountered in practical scenarios. 
  
  WHO IS THIS BOOK FOR?
  This book is for everyone with a basic understanding of programming and who wants to apply machine learning in computer vision using OpenCV and Python. Whether you're a student, researcher, or developer, this book will equip you with practical skills for machine learning projects. Some familiarity with Python and machine learning concepts is assumed. Beginners too will find this book valuable as it offers clear examples and explanations for every concept. 
  
  TABLE OF CONTENTS 
  Chapter 1: Getting Started With OpenCV 
  Chapter 2: Basic Image & Video Analytics in OpenCV
  Chapter 3: Image Processing 1 using OpenCV
  Chapter 4: Image Processing 2 using OpenCV
  Chapter 5: Thresholding and Contour Techniques Using OpenCV 
  Chapter 6: Detect Corners and Road Lane using OpenCV
  Chapter 7: Object And Motion Detection Using Opencv
  Chapter 8: Image Segmentation and Detecting Faces Using OpenCV
  Chapter 9: Introduction to Deep Learning with OpenCV
  Chapter 10: Advance Deep Learning Projects with OpenCV
  Chapter 11: Deployment of OpenCV projects

  Ver livro

• 

  E-Commerce & Dropshipping...

  Sachin Naha

  • 0
  • 0
  • 0

  Are you tired of traditional retail limitations? E-Commerce & Dropshipping Business: Roadmap to Profitability unlocks the secrets to building a booming online store without the burden of inventory! This comprehensive guide empowers you to navigate every step, from market research to cutting-edge technology, to establish a thriving dropshipping business. Learn how to identify profitable products, create high-converting websites, leverage powerful marketing strategies, and maximize profits. Packed with actionable insights and practical strategies, this book equips you to become an e-commerce leader in the dynamic world of dropshipping. 

  Ver livro

• 

  AI and Creativity - Where AI...

  Chuck Sherman

  • 0
  • 0
  • 0

  This groundbreaking book unravels the intricate tapestry of artificial intelligence's influence on the creative process, revealing a world where algorithms compose mesmerizing music, craft captivating stories, and paint vivid canvases. 
  Step into a future where AI is no longer confined to mere calculations, but serves as a muse, sparking a renaissance of human ingenuity. As the digital brushstrokes of AI-generated paintings blur the lines between pixels and pigments, and AI-composed symphonies resonate with haunting melodies, a new form of creativity emerges—one that challenges our understanding of what it means to be an artist. 
  Delve into the fascinating stories of painters who collaborate with algorithms, writers who co-author with AI, and musicians who harmonize with neural networks. Witness the astonishing results of this fusion, as the boundaries of imagination are pushed to new frontiers. But amidst the marvel, questions arise: Can a machine truly create art? Is AI a tool or an artist in its own right? 
  Book navigates these inquiries with thought-provoking insights, exploring the ethical dilemmas and copyright quandaries that arise in this brave new world. Venture into uncharted territory, where AI ignites inspiration and collaboration, challenging long-held beliefs about the creative process. This book delves into the very essence of creativity, offering a glimpse into a future where machines and humans dance in a harmonious choreography of innovation. 
   

  Ver livro

• 

  Ultimate Linux Network Security...

  Adarsh Kant

  • 0
  • 0
  • 0

  "Level Up Your Security Skills with Linux Expertise!"
  Key Features
  - Comprehensive exploration of Linux network security and advanced techniques to defend against evolving cyber threats.
  - Hands-on exercises to reinforce your understanding and gain practical experience in implementing cybersecurity strategies.
  - Gain valuable insights from industry best practices to effectively address emerging threats and protect your organization's digital assets within the evolving landscape of Linux network security.
  Book Description
  TheUltimate Linux Network Security for Enterprisesis your essential companion to mastering advanced cybersecurity techniques tailored for Linux systems.
  The book provides a comprehensive exploration of Linux network security, equipping you with the skills and knowledge needed to defend against evolving cyber threats. Through hands-on exercises, real-world scenarios, and industry best practices, this book empowers you to fortify your organization’s networks with confidence. Discover practical insights and techniques that transcend theoretical knowledge, enabling you to apply effective cybersecurity strategies in your job role.
  From understanding fundamental concepts to implementing robust security measures, each chapter provides invaluable insights into securing Linux-based networks. Whether you are tasked with conducting vulnerability assessments, designing incident response plans, or implementing intrusion detection systems, this book equips you with the tools and expertise to excel in your cybersecurity endeavors. By the end of this book, you will gain the expertise needed to stay ahead of emerging threats and safeguard your organization’s digital assets.
  What you will learn
  - Perform thorough vulnerability assessments on Linux networks to pinpoint network weaknesses.
  - Develop and deploy resilient security incident response plans.
  - Configure and oversee sophisticated firewall and packet filtering rules.
  - Employ cryptography techniques to ensure secure data transmission and storage.
  - Implement efficient Intrusion Detection and Prevention Systems (IDS/IPS).
  - Enforce industry-leading best practices to bolster Linux network security defenses.
  Table of Contents
  1. Exploring Linux Network Security Fundamentals
  2. Creating a Secure Lab Environment
  3. Access Control Mechanism in Linux
  4. Implementing Firewalls And Packet Filtering
  5. Mastering Cryptography for Network Security
  6. Intrusion Detection System and Intrusion Prevention System
  7. Conducting Vulnerability Assessment with Linux
  8. Creating Effective Disaster Recovery Strategies
  9. Robust Security Incident Response Plan
  10. Best Practices for Linux Network Security ProfessionalsIndex

  Ver livro