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The Machine Learning Solutions Architect Handbook

You're reading from   The Machine Learning Solutions Architect Handbook Practical strategies and best practices on the ML lifecycle, system design, MLOps, and generative AI

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Product type Paperback
Published in Apr 2024
Publisher Packt
ISBN-13 9781805122500
Length 602 pages
Edition 2nd Edition
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Author (1):
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David Ping David Ping
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David Ping
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Table of Contents (19) Chapters Close

Preface 1. Navigating the ML Lifecycle with ML Solutions Architecture FREE CHAPTER 2. Exploring ML Business Use Cases 3. Exploring ML Algorithms 4. Data Management for ML 5. Exploring Open-Source ML Libraries 6. Kubernetes Container Orchestration Infrastructure Management 7. Open-Source ML Platforms 8. Building a Data Science Environment Using AWS ML Services 9. Designing an Enterprise ML Architecture with AWS ML Services 10. Advanced ML Engineering 11. Building ML Solutions with AWS AI Services 12. AI Risk Management 13. Bias, Explainability, Privacy, and Adversarial Attacks 14. Charting the Course of Your ML Journey 15. Navigating the Generative AI Project Lifecycle 16. Designing Generative AI Platforms and Solutions 17. Other Books You May Enjoy
18. Index

ML use cases in retail

The retail industry is a sector that sells consumer products directly to customers, either through physical retail stores or online platforms. Retailers acquire their merchandise from wholesale distributors or manufacturers directly. Over the years, the retail industry has undergone significant changes. The growth of e-commerce has outpaced that of traditional retail businesses, compelling brick-and-mortar stores to adapt and innovate in-store shopping experiences to remain competitive. Retailers are exploring new approaches to enhance the shopping experience across both online and physical channels. Recent developments such as social commerce, augmented reality, virtual assistant shopping, smart stores, and 1:1 personalization have become key differentiators in the retail industry.

The retail industry is currently undergoing a transformation fueled by AI and ML technologies. Retailers are utilizing these technologies to optimize inventory, predict consumer...

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