Enterprise AI in the Cloud: A Practical Guide to Deploying End-To-End Machine Learning and Chatgpt Solutions

Jay, Rabi

  • 出版商: Wiley
  • 出版日期: 2024-01-11
  • 定價: $2,100
  • 售價: 9.5$1,995
  • 語言: 英文
  • 頁數: 384
  • 裝訂: Quality Paper - also called trade paper
  • ISBN: 1394213050
  • ISBN-13: 9781394213054
  • 相關分類: ChatGPT人工智慧Machine Learning
  • 立即出貨 (庫存=1)

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商品描述

Embrace emerging AI trends and integrate your operations with cutting-edge solutions

Enterprise AI in the Cloud: A Practical Guide to Deploying End-to-End Machine Learning Solutions is a helpful resource for professionals and companies who want to bring new AI technologies like generative AI and machine learning (ML) into their suite of cloud-based solutions. If you want to set up AI platforms in the cloud quickly and confidently and drive your business forward with the power of AI, this book is the ultimate go-to guide. The author shows you how to start an enterprise-wide AI transformation effort, taking you all the way through to implementation, with clearly defined processes, numerous examples, and hands-on exercises.

This book gives you expert guidance on selecting the ideal cloud platform and integrating it with your existing apps and systems. You'll also discover best practices on optimizing cloud infrastructure for scalability and automation. Review questions and answers at the end of every chapter help you assess your understanding of the concepts. Enterprise AI in the Cloud allows you to:

  • Discover a comprehensive approach to implementing corporate AI systems in the cloud and at scale, using an AI-First strategy to drive innovation
  • Learn from emerging AI/ML use cases, such as ChatGPT, VR/AR, blockchain, metaverse, hyper-automation, generative AI, transformer models, Keras, TensorFlow in the cloud, and quantum machine learning
  • Understand the machine learning lifecycle, from framing problems to deploying models and beyond, leveraging the full power of Azure, AWS, and Google cloud platforms
  • Get practical advice on identifying potential use cases, developing a winning AI strategy and portfolio, and driving an innovation culture

Whether you're a beginner or an experienced AI or MLOps (ML Operations) engineer, this comprehensive resource empowers you to confidently build and use AI models in production, bridging the gap between proof-of-concept projects and real-world AI deployments. This book is a must-read for anyone seeking to accelerate AI transformation across their enterprise.

商品描述(中文翻譯)

「在新興的人工智慧趨勢中融入並整合先進解決方案」

《企業雲端中的人工智慧:部署端到端機器學習解決方案的實用指南》是一本對於希望將新興的人工智慧技術,如生成式人工智慧和機器學習(ML),納入其雲端解決方案組合的專業人士和公司來說,是一個有用的資源。如果您想要快速且自信地在雲端建立人工智慧平台,並以人工智慧的力量推動您的業務,這本書是您的最佳指南。作者透過清晰定義的流程、眾多實例和實際操作練習,向您展示如何開始進行企業範圍的人工智慧轉型,並引導您實施到底。

本書對於選擇理想的雲端平台並將其與現有應用程式和系統整合提供了專家指導。您還將了解有關優化雲端基礎架構以實現可擴展性和自動化的最佳實踐。每章結尾的評估問題和答案可幫助您評估對概念的理解。

《企業雲端中的人工智慧》讓您能夠:
- 探索在雲端和大規模情況下實施企業級人工智慧系統的全面方法,使用以人工智慧為先的策略推動創新
- 從新興的人工智慧/機器學習應用案例中學習,例如ChatGPT、VR/AR、區塊鏈、元宇宙、超自動化、生成式人工智慧、轉換器模型、Keras、雲端中的TensorFlow和量子機器學習
- 了解機器學習的生命周期,從問題定義到模型部署以及更多,充分利用Azure、AWS和Google雲端平台的強大功能
- 獲得有關識別潛在應用案例、制定成功的人工智慧策略和組合,以及推動創新文化的實用建議

無論您是初學者還是經驗豐富的人工智慧或MLOps(機器學習運營)工程師,這本全面的資源都能讓您自信地在生產環境中建立和使用人工智慧模型,彌合概念驗證項目和真實世界人工智慧部署之間的差距。這本書對於任何希望加速企業中的人工智慧轉型的人來說都是必讀之選。