| 書(shū)目名稱(chēng) | Productionizing AI | | 副標(biāo)題 | How to Deliver AI B2 | | 編輯 | Barry Walsh | | 視頻video | http://file.papertrans.cn/760/759309/759309.mp4 | | 概述 | Use cloud resources to gain practical experience setting up automated, affordable data pipelines for AI projects.Deliver MVPs and “Enterprise AI” with Big Data automation and a Cloud-agnostic, cloud-n | | 圖書(shū)封面 |  | | 描述 | .This book is a guide to productionizing AI solutions using best-of-breed cloud services with workarounds to lower costs. Supplemented with step-by-step instructions covering data import through wrangling to partitioning and modeling through to inference and deployment, and augmented with plenty of Python code samples, the book has been written to accelerate the process of moving from script or notebook to app...From an initial look at the context and ecosystem of AI solutions today, the book drills down from high-level business needs into best practices, working with stakeholders, and agile team collaboration. From there you’ll explore data pipeline orchestration, machine and deep learning, including working with and finding shortcuts using artificial neural networks such as AutoML and AutoAI. You’ll also learn about the increasing use of NoLo UIs through AI application development, industry case studies, and finally a practical guide to deploying containerized AI solutions...The book is intended for those whose role demands overcoming budgetary barriers or constraints in accessing cloud credits to undertake the often difficult process of developing and deploying an AI solution... | | 出版日期 | Book 2023 | | 關(guān)鍵詞 | Artitificial Intelligence; Python; Machine Learning; Deep Learning; Natural Language Processing; AutoML; D | | 版次 | 1 | | doi | https://doi.org/10.1007/978-1-4842-8817-7 | | isbn_softcover | 978-1-4842-8816-0 | | isbn_ebook | 978-1-4842-8817-7 | | copyright | Barry Walsh 2023 |
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