{"product_id":"data-science-practical-research-methods-and-algorithms","title":"Data Science - Practical Research Methods and Algorithms","description":"\u003cp\u003eIn this review of Data Science, the book edited by Shakeel Ahmed Khoja and Qurban A Memon, the bottom line is simple: this volume is best for researchers, advanced students and practitioners who need a compact collection of contemporary methods and tutorial-style chapters on machine learning and data analysis. The reviewer finds the book most valuable as a reference for scientific research methods and practical algorithms rather than as an introductory textbook; its strength is in gathering diverse, research-level contributions that can inspire projects or support coursework.\u003c\/p\u003e\u003ch2\u003eKey Features\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eComprehensive research coverage:\u003c\/strong\u003e The book assembles internationally respected scientific research methods and technologies to give readers exposure to current topics across data science.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eTutorial-style chapters:\u003c\/strong\u003e Several chapters present algorithms and techniques in a tutorial format, helping readers apply machine learning and data analysis methods step by step.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eModular structure:\u003c\/strong\u003e The split into Part I and Part II clarifies content focus, separating theory, concepts and algorithms from data design and analysis topics for easier reference.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eTargeted applications:\u003c\/strong\u003e Coverage includes infographics, information design and relevant applications that connect algorithms to real-world use cases and visual communication.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eUseful for researchers:\u003c\/strong\u003e The collection reports novel research work and methods that are suitable for professors, research students and practitioners seeking scholarly sources.\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eWho It's For\u003c\/h2\u003e\u003cp\u003eThis book is aimed at graduate students, academic researchers and industry practitioners who need a curated set of research papers and tutorial chapters on \u003cstrong\u003emachine learning algorithms\u003c\/strong\u003e, data analysis and information design. It works well as a supplemental reference for a seminar course or as background reading when designing experiments or implementing algorithms.\u003c\/p\u003e\u003cp\u003eReaders looking for a beginner-friendly introduction to programming, step-by-step coding tutorials for novices, or a single-author narrative textbook should look elsewhere; this volume assumes some familiarity with data science concepts and is organized as a collection rather than a linear textbook.\u003c\/p\u003e\u003ch2\u003ePros \u0026amp; Cons\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003ePros\u003c\/strong\u003e\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eCollects a variety of contemporary research methods and applications in one place for quick scholarly reference.\u003c\/li\u003e\n\u003cli\u003eIncludes tutorial-style chapters that make specific algorithms and analysis techniques more accessible.\u003c\/li\u003e\n\u003cli\u003eOrganized into clear parts to separate theory and practical data design, aiding targeted consultation.\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003e\u003cstrong\u003eCons\u003c\/strong\u003e\u003c\/p\u003e\u003cul\u003e\u003cli\u003eAs an edited collection, it can feel uneven in depth and style between chapters, which may require readers to pick chapters selectively.\u003c\/li\u003e\u003c\/ul\u003e\u003ch2\u003eSpecifications\u003c\/h2\u003e\u003ctable\u003e\n\u003ctr\u003e\n\u003ctd\u003eTitle\u003c\/td\u003e\n\u003ctd\u003eData Science\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eEditors \/ Authors\u003c\/td\u003e\n\u003ctd\u003eShakeel Ahmed Khoja, Qurban A Memon\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eScope\u003c\/td\u003e\n\u003ctd\u003eResearch methods, technologies and applications in data science\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eStructure\u003c\/td\u003e\n\u003ctd\u003ePart I: Theory, Concepts, and Algorithms; Part II: Data Design and Analysis\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eAudience\u003c\/td\u003e\n\u003ctd\u003eResearchers, professors, research students, practitioners\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eContent style\u003c\/td\u003e\n\u003ctd\u003eResearch chapters and tutorial-style explanations\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/table\u003e\u003ch2\u003eOur Verdict\u003c\/h2\u003e\u003cp\u003eData Science is a practical, research-focused collection that delivers value to academics and practitioners who need concise, scholarly treatments of algorithms and data analysis techniques. Its tutorial chapters and focused parts make it a useful reference for project work or graduate study, though readers seeking an introductory textbook should consider more classroom-oriented titles.\u003c\/p\u003e\u003ch2\u003eFrequently Asked Questions\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eIs this book suitable for beginners?\u003c\/strong\u003e\u003cbr\u003eIt is primarily geared to readers with some background in data science; beginners may find it challenging as it compiles research-level chapters.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eDoes it include practical algorithm examples?\u003c\/strong\u003e\u003cbr\u003eYes, several chapters are written in a tutorial style that explains machine learning algorithms and data analysis techniques.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eWho will benefit most from this book?\u003c\/strong\u003e\u003cbr\u003eResearchers, graduate students, professors and practitioners looking for contemporary research methods and applied examples will benefit most.\u003c\/p\u003e","brand":"Shakeel Ahmed Khoja, Qurban A Memon","offers":[{"title":"Default Title","offer_id":48638206476507,"sku":"036720861X","price":170.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0724\/1043\/1707\/files\/61HcXoc8t9L._SL1247.jpg?v=1778610781","url":"https:\/\/gearmusthave.com\/products\/data-science-practical-research-methods-and-algorithms","provider":"GearMustHave","version":"1.0","type":"link"}