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Can I read Google Machine Learning and Generative AI for Solutions Architects : Build Efficient and Scalable AI/ML Solutions on Google Cloud on EtoBox?
Google Machine Learning and Generative AI for Solutions Architects : Build Efficient and Scalable AI/ML Solutions on Google Cloud by Kavanagh, Kieran is a nonfiction available to read on EtoBox.
What is Google Machine Learning and Generative AI for Solutions Architects : Build Efficient and Scalable AI/ML Solutions on Google Cloud about?
Architect and run real-world AI/ML solutions at scale on Google Cloud, and discover best practices to address common industry challenges effectively Key Features Understand key concepts, from fundamentals through to complex topics, via a methodical approach Build real-world end-to-end MLOps solutions and generative AI applications on Google Cloud Get your hands on a code repository with over 20 hands-on projects for all stages of the ML model development lifecycle Purchase of the print or Kindle book includes a free PDF eBook Book Description Nearly all companies nowadays either already use or are trying to incorporate AI/ML into their businesses. While AI/ML research is undoubtedly complex, the building and running of apps that utilize AI/ML effectively is tougher. This book shows you exactly how to design and run AI/ML workloads successfully using years of experience some of the world’s leading tech companies have to offer. You’ll begin by gaining a clear understanding of essential fundamental AI/ML concepts, before moving on to grasp complex topics with the help of examples and hands-on activities. This will help you eventually explore advanced, cutting-edge AI/ML applications t
Who reads Google Machine Learning and Generative AI for Solutions Architects : Build Efficient and Scalable AI/ML Solutions on Google Cloud?
It is typically read by self-directed learners exploring a subject in depth.
Common subject areas: history, science, philosophy, social sciences.
- Author
- Kavanagh, Kieran
- Publisher
- Packt Publishing Pvt Ltd
- Published
- 2024
- Language
- EN
- ISBN
- 9781801815260
- Category
- nonfiction
- Subjects
- Engineering, Science, Computer Science
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