This book is a guide to productionizing AI solutions using bestofbreed cloud services with workarounds to lower costs. Supplemented with stepbystep 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 highlevel business needs into best practices, working with stakeholders, and agile team collaboration. From there youll explore data pipeline orchestration, machine and deep learning, including working with and finding shortcuts using artificial neural networks such as AutoML and AutoAI. Youll 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. What You Will Learn Develop and deliver productiongrade AI in one monthDeploy AI solutions at a low costWork around Big Tech dominance and develop MVPs on the cheapCreate demoready solutions without overly complex python scripts/notebooks Who this book is for Data scientists and AI consultants with...

Binding: Paperback;400 pages; Publisher: Springer Nature B.V.; Classification: N/A; Weight: 812.63 g; Dimensions: N/A

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