人工智能入门

English | July 27, 2024 | ASIN: B0DBGJMBM6 | PDF | 4.32 Mb

Getting Started with Artificial Intelligence by Lynn Walker is a comprehensive guide designed for intermediate to advanced students eager to explore the world of AI. This book demystifies the core technologies driving artificial intelligence, providing a practical, hands-on approach to understanding and leveraging AI for personal and professional growth.

In this book, you will learn about the ethical considerations of AI, the importance of mass adoption for defense against misuse, and how to approach AI with a critical mind to mitigate misinformation. Through a structured, project-based learning methodology, you will build a Personalized Learning Assistant (PLA) that adapts to your learning pace and preferences, offering interactive exercises, immediate feedback, and resource recommendations.

Key topics covered include

Setting up your AI development environment Data management and preprocessing Building, training, and evaluating AI models using TensorFlow and Keras Addressing data quality issues and preparing data for AI projects Practical guidance on AI model training and deployment

中文|2024年7月27日|ASIN:B0DBGJMBM6|PDF|Lynn Walker的4.32 Mb《人工智能入门》是一本为渴望探索人工智能世界的中级到高级学生设计的综合指南。这本书揭开了驱动人工智能的核心技术的神秘面纱，提供了一种实用的、动手的方法来理解和利用人工智能促进个人和职业发展。 在本书中，您将了解人工智能的伦理考虑、大规模采用以防止滥用的重要性，以及如何以批判性思维接近人工智能以减少错误信息。通过结构化的、基于项目的学习方法，您将构建一个个性化学习助手（PLA），以适应您的学习速度和偏好，提供互动练习、即时反馈和资源建议。 涵盖的关键主题包括 设置人工智能开发环境数据管理和预处理使用TensorFlow和Keras构建、训练和评估人工智能模型解决数据质量问题并为人工智能项目准备数据人工智能模型训练和部署的实用指南

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