{"product_id":"hands-on-machine-learning-on-google-cloud-platform-practical-ml","title":"Hands-On Machine Learning on Google Cloud Platform - Practical ML","description":"\u003cp\u003eIn this review of Hands-On Machine Learning on Google Cloud Platform, the reviewer finds a focused, project-driven guide for developers and data practitioners who want to implement machine learning workflows using Cloud ML Engine and related tools. The book's single biggest reason to buy is its practical, hands-on approach: it walks readers through real Computer Vision tasks and demonstrates how to integrate OpenCV and Tesseract OCR into deployable projects, making abstract concepts immediately useful for production-focused learners.\u003c\/p\u003e\u003ch2\u003eKey Features\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eProject-driven tutorials:\u003c\/strong\u003e Several real-world Computer Vision projects help readers apply concepts rather than just read theory, accelerating practical learning.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eOpenCV 3 coverage:\u003c\/strong\u003e Clear step-by-step examples using OpenCV 3 make image processing and motion detection approachable for developers.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eTesseract OCR focus:\u003c\/strong\u003e Dedicated guidance on working with Tesseract OCR helps when the goal is text recognition from images in real applications.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eCloud ML Engine integration:\u003c\/strong\u003e Examples and discussion of Cloud ML Engine show how local Computer Vision work can be scaled and deployed in cloud workflows.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eCross-platform tooling:\u003c\/strong\u003e The use of free, open-source libraries ensures readers can reproduce examples on multiple operating systems without proprietary locks.\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eWho It's For\u003c\/h2\u003e\u003cp\u003eThe book is best for software engineers, data scientists, and advanced hobbyists who already have basic programming experience and want to build end-to-end Computer Vision projects that include image processing, motion detection, and OCR. It suits readers who prefer learning by doing and who plan to move models and pipelines into cloud environments.\u003c\/p\u003e\u003cp\u003eBeginners with no programming background or readers seeking a theoretical, math-heavy treatment of machine learning should look elsewhere; this title emphasizes practical implementation with OpenCV and Tesseract rather than comprehensive algorithm derivations.\u003c\/p\u003e\u003ch2\u003ePros \u0026amp; Cons\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003ePros\u003c\/strong\u003e\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eWell-structured, hands-on projects that make \u003cstrong\u003eComputer Vision\u003c\/strong\u003e concepts tangible.\u003c\/li\u003e\n\u003cli\u003ePractical coverage of \u003cstrong\u003eOpenCV 3\u003c\/strong\u003e and workflow recipes for image processing tasks.\u003c\/li\u003e\n\u003cli\u003eMeaningful focus on \u003cstrong\u003eTesseract OCR\u003c\/strong\u003e integration for text recognition in images.\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003e\u003cstrong\u003eCons\u003c\/strong\u003e\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eNot ideal for absolute beginners because it assumes some programming familiarity.\u003c\/li\u003e\n\u003cli\u003eCoverage is practical rather than deeply theoretical, so readers wanting extensive algorithm proofs may need supplemental texts.\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eSpecifications\u003c\/h2\u003e\u003ctable\u003e\n\u003ctr\u003e\n\u003ctd\u003eTitle\u003c\/td\u003e\n\u003ctd\u003eHands-On Machine Learning on Google Cloud Platform\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eAuthors\u003c\/td\u003e\n\u003ctd\u003eAlexis Perrier, V Kishore Ayyadevara, Giuseppe Ciaburro\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePrimary focus\u003c\/td\u003e\n\u003ctd\u003eComputer Vision and image processing with OpenCV 3\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eOCR library emphasized\u003c\/td\u003e\n\u003ctd\u003eTesseract OCR (open-source)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eApproach\u003c\/td\u003e\n\u003ctd\u003eStep-by-step, project-based implementation\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eCloud platform\u003c\/td\u003e\n\u003ctd\u003eCloud ML Engine integration examples\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/table\u003e\u003ch2\u003eOur Verdict\u003c\/h2\u003e\u003cp\u003eThis book is a solid practical resource for developers and data practitioners who want to implement \u003cstrong\u003eComputer Vision\u003c\/strong\u003e projects and deploy them via Cloud ML Engine. It offers excellent hands-on guidance and open-source tooling, making it good value for readers aiming to move from experiments to working pipelines, though newcomers may need introductory programming material first.\u003c\/p\u003e\u003ch2\u003eFrequently Asked Questions\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eDoes the book include code examples?\u003c\/strong\u003e\u003cbr\u003eYes, the book uses step-by-step code examples with OpenCV 3 and demonstrates integration techniques for cloud deployment.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eIs prior machine learning theory required?\u003c\/strong\u003e\u003cbr\u003eBasic programming knowledge is expected; deep theoretical background is not required since the book emphasizes practical implementation.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eWill the examples run cross-platform?\u003c\/strong\u003e\u003cbr\u003eYes; the book relies on free, open-source libraries like OpenCV and Tesseract, which are cross-platform.\u003c\/p\u003e","brand":"Alexis PerrierV Kishore AyyadevaraGiuseppe Ciaburro","offers":[{"title":"Default Title","offer_id":48167339557083,"sku":"1788393481","price":46.57,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0724\/1043\/1707\/files\/61h31MfxtAL._SL1360.jpg?v=1769242766","url":"https:\/\/gearmusthave.com\/products\/hands-on-machine-learning-on-google-cloud-platform-practical-ml","provider":"GearMustHave","version":"1.0","type":"link"}