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      Python & AI For Dummies

      AvJohn C. Shovic,Mary Everett

      Häftad, Engelska, 2026

      260 kr

      Beställningsvara. Skickas inom 5-8 vardagar. Fri frakt över 249 kr.

      Beskrivning

      Unlock the combined power of Python and AI to supercharge your next technical project and your career Python & AI For Dummies explores the exciting combo of two revolutionary technologies that are reshaping how we work, code, and solve problems. Authors John C. Shovic and Mary Everett draw on their extensive work in computer science, precision agriculture, and artificial intelligence to walk you through the intersection of Python programming and AI applications. No matter your professional background, learn how to use Python's versatility to unlock AI's transformative power. This guide offers hands-on approaches to implementing AI with Python. It moves from foundational concepts to advanced applications, covering essential Python libraries: TensorFlow, PyTorch, OpenCV, and scikit-learn. It also explores essential AI concepts, like neural networks, machine learning models, and natural language processing. Python & AI For Dummies is packed with hands-on projects and real-world examples, that explain how to build machine vision systems, create language models, implement reinforcement learning, and develop AI agents. Broken down into manageable, jargon-free lessons, explore topics from theoretical programming fundamentals to cutting-edge AI applications. Inside the book: Grasp fundamental AI concepts including machine learning, neural networks, and deep learning architecturesExplore eight essential Python libraries designed specifically for AI development and data manipulationBuild practical projects, including machine vision systems, large language models, and AI agentsLearn proven techniques for data preprocessing, model training, and avoiding common pitfalls like overfittingGain insights into emerging technologies including generative AI, transformers, and the Model Context ProtocolA can’t-miss resource for programmers interested in expanding their AI skillset, professionals in finance or marketing who want to develop new capabilities, and small business owners ready to streamline their operations, Python & AI For Dummies offers step-by-step guidance, troubleshooting tips, and real-world applications in industries from manufacturing to agriculture.

      Produktinformation

      • Utgivningsdatum:2026-07-30
      • Mått:183 x 231 x 25 mm
      • Vikt:522 g
      • Format:Häftad
      • Språk:Engelska
      • Antal sidor:416
      • Förlag:John Wiley & Sons Inc
      • ISBN:9781394413461

      Utforska kategorier

      • Programspråk inom Data och IT
      • Artificiell intelligens inom Data och IT

      Mer om författaren

      John C. Shovic, PhD, is a computer science faculty member at the University of Idaho and Director of the Center for Intelligent Industrial Robotics. He co-authored Python All-in-One For Dummies.Mary "Marz" Everett, PhD, is a research scientist at the University of Idaho focusing on AI, robotics, and precision agriculture.

      Innehållsförteckning

      • Introduction 1Part 1: Getting Started with Python and AI 5CHAPTER 1: Starting with Python Basics 7CHAPTER 2: Defining Fundamental AI Concepts 29CHAPTER 3: Working with Data 41Part 2: Fundamental Machine Learning Models 59CHAPTER 4: Working with the scikit-learn Library 61CHAPTER 5: The Plot Thickens: Regression Models 77CHAPTER 6: Making Decisions with Trees 89CHAPTER 7: Better Together: Boosting, Bagging, and Random Forests 103Part 3: The Neural Network Family 119CHAPTER 8: Meeting Your Brain: Neural Network Architectures 121CHAPTER 9: The Not-So-Scary Math That Powers Neural Networks 137CHAPTER 10: Training a Neural Network 159CHAPTER 11: Identifying the Neural Network Family 181Part 4: Machine Vision with OpenCV 197CHAPTER 12: Introducing Machine Vision 199CHAPTER 13: Getting Started with OpenCV 213CHAPTER 14: Classifying Images with Convolutional Neural Networks 229CHAPTER 15: Creating an Object Detector 241Part 5: Advanced AI Models 265CHAPTER 16: Large and in Charge: LLMs 267CHAPTER 17: Generating Stuff with AI 283CHAPTER 18: AI Agents: The Ghosts in Our Machines 307CHAPTER 19: Improving Your Computer with Reinforcement Learning 323CHAPTER 20: Nature Knows Best: Using Evolutionary Algorithms 339Part 6: The Part of Tens 357CHAPTER 21: Ten Steps for Developing an AI Project 359CHAPTER 22: Ten Common AI Mistakes to Avoid 365Appendix: Setting Up Your Development Environment 371Index 379
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