{"product_id":"industry-machine-learning-playbook-a-pattern-language-for-real-world-ml-in-industry-verticals-9798276166988","title":"Industry Machine Learning Playbook: A Pattern Language for Real-World ML in Industry Verticals","description":"\u003cp\u003e • Author(s): Abhay Singh\u003cbr\u003e • Publisher: Independently Published\u003cbr\u003e • Publisher Imprint: Independently Published\u003cbr\u003e • BISAC: Software Development \u0026amp; Engineering - Systems Analysis \u0026amp; Desi\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eIn most companies, \"let's add machine learning\" quickly turns into confusion: endless vendor pitches, proof-of-concepts that never ship, and models nobody trusts. The real problem isn't a lack of algorithms. It's a lack of clear patterns that connect business problems, data realities, and production constraints.\u003c\/p\u003e\u003cp\u003e\u003cb\u003eIndustry Machine Learning Playbook\u003c\/b\u003e is a practical field guide for technical leaders inside real organizations-not research labs. Instead of organizing around models or tools, the book is organized around \u003cb\u003econcrete use cases across industry verticals\u003c\/b\u003e such as healthcare, financial services, manufacturing, energy, retail, and more.\u003c\/p\u003e\u003cp\u003eFor each use case, you see the problem through three lenses: \u003c\/p\u003e\u003cul\u003e\n\u003cli\u003e\u003cp\u003eThe \u003cb\u003eindustry engineer\u003c\/b\u003e, who describes the problem in operational and business terms.\u003c\/p\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cp\u003eThe \u003cb\u003eML engineer\u003c\/b\u003e, who turns that problem into a well-posed modeling and data task.\u003c\/p\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cp\u003eThe \u003cb\u003esolution architect\u003c\/b\u003e, who shows how to make the solution work within real systems, compliance requirements, and budgets.\u003c\/p\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003eYou'll learn how to: \u003c\/p\u003e\u003cul\u003e\n\u003cli\u003e\u003cp\u003eDecide whether a problem is truly \"machine-learning-shaped\" or solvable with simpler analytics and better processes.\u003c\/p\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cp\u003eMap messy, delayed, or incomplete data into tractable ML tasks such as classification, forecasting, anomaly detection, and recommendation.\u003c\/p\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cp\u003eReuse patterns across sectors for challenges like churn and retention, fraud and anomaly detection, pricing and bidding, personalization, and demand forecasting.\u003c\/p\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cp\u003eConnect ML work to production architectures, MLOps, and FinOps so that models are monitorable, cost-aware, and maintainable over time.\u003c\/p\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003eThis book is written for \u003cb\u003etechnical leaders inside industry verticals\u003c\/b\u003e: heads of analytics or ML in a business unit, operations and clinical leaders, platform and solution architects, and senior engineers who keep being asked to \"add AI\" to existing systems.\u003c\/p\u003e\u003cp\u003eIf you need a vendor-neutral, sector-aware playbook to structure ML discussions, prioritize the right use cases, and avoid wasting years on the wrong projects, this book gives you the patterns and language to do it.\u003c\/p\u003e","brand":"Independently Published","offers":[{"title":"Paperback","offer_id":47779079454871,"sku":"9798276166988","price":26124.0,"currency_code":"INR","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0666\/3471\/1191\/files\/9798276166988.webp?v=1778033243","url":"https:\/\/atlanticbooks.com\/products\/industry-machine-learning-playbook-a-pattern-language-for-real-world-ml-in-industry-verticals-9798276166988","provider":"Atlantic Books","version":"1.0","type":"link"}