理解人工智能和机器学习的初学者指南

English | May 31, 2024 | ASIN: B0CWNFPGMG | 129 pages | EPUB | 1.13 Mb

Welcome to "Beginner's Guide to Understanding AI and Machine Learning," your comprehensive introduction to the world of artificial intelligence and machine learning. This book is designed to demystify these advanced topics and make them accessible to everyone, regardless of your background or prior knowledge.

Artificial Intelligence (AI) and Machine Learning (ML) are transforming industries and reshaping the future. From healthcare to finance, retail to transportation, these technologies are driving innovation and creating new opportunities. Whether you're a student, a professional looking to switch careers, or simply curious about the buzz around AI and ML, this guide will provide you with the foundational knowledge you need.

In this book, you'll explore

The Basics of AI and ML: Understand the core concepts, history, and significance of AI and ML in today's world. Key Concepts and Algorithms: Dive into the essential algorithms and models that power AI and ML, including supervised, unsupervised, and reinforcement learning. Real-World Applications: Discover how AI and ML are being applied across various industries to solve real-world problems. Practical Implementation: Learn how to set up your environment, build your first ML models, and work on hands-on projects to reinforce your learning. Ethical Considerations: Explore the ethical implications of AI and ML, including bias, fairness, privacy, and transparency. Each chapter is crafted to provide clear explanations, practical examples, and step-by-step guides to help you grasp complex concepts with ease. You'll also find projects and exercises designed to build your skills and confidence as you progress.

中文|2024年5月31日|ASIN:B0CWNFPGM|129页|EPUB|1.13 Mb欢迎阅读“理解人工智能和机器学习的初学者指南”，这是您对人工智能和机械学习世界的全面介绍。这本书旨在揭开这些高级主题的神秘面纱，让每个人都能接触到它们，无论你的背景或先前的知识如何。 人工智能（AI）和机器学习（ML）正在改变行业，重塑未来。从医疗保健到金融，从零售到运输，这些技术正在推动创新并创造新的机会。无论你是学生、想转行的专业人士，还是只是对人工智能和机器学习的流行感到好奇，本指南都将为你提供所需的基础知识。 在本书中，您将探索 AI和ML的基础知识：了解AI和ML在当今世界的核心概念、历史和意义。关键概念和算法：深入了解支持人工智能和机器学习的基本算法和模型，包括监督学习、无监督学习和强化学习。现实世界应用：了解人工智能和机器学习如何在各个行业中应用，以解决现实世界的问题。实际实施：学习如何设置你的环境，构建你的第一个机器学习模型，并从事实践项目以加强你的学习。伦理考虑：探索人工智能和机器学习的伦理影响，包括偏见、公平、隐私和透明度。每一章都精心设计，提供清晰的解释、实例和分步指南，帮助您轻松掌握复杂的概念。你还会发现一些项目和练习，旨在随着你的进步建立你的技能和信心。

---

Download from free file storage

 Download from rapidgator.net  Download from nitroflare.com

---

我要反馈

---

本站不对文件进行储存，仅提供文件链接，请自行下载，本站不对文件内容负责，请自行判断文件是否安全，如发现文件有侵权行为，请联系管理员删除。