Practical Machine Learning : A Beginner's Guide with Ethical Insights
The book provides an accessible, comprehensive introduction for beginners to machine learning, equipping them with the fundamental skills and techniques essential for this field.It enables beginners to construct practical, real-world solutions powered by machine learning across diverse application d...
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| Formato: | Libro |
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Chapman and Hall/CRC
2025
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=nlebk&AN=4023047&site=ehost-live header: @attributes: shortDbName: nlebk uiTerm: 4023047 longDbName: eBook Collection (EBSCOhost) uiTag: AN controlInfo: bkinfo: btl: Practical Machine Learning : A Beginner's Guide with Ethical Insights aug: au: Ally S. Nyamawe Mohamedi M. Mjahidi Noe E. Nnko Salim A. Diwani Godbless G. Minja Kulwa Malyango isbn: 9781032770291 9781032782164 9781040267639 9781040267660 imageinfo: pubinfo: dt: @attributes: year: 2025 month: 01 day: 01 dtAvail: @attributes: year: 2025 month: 03 day: 28 ed: First edition pub: Chapman and Hall/CRC pubContract: CRC Press (Unlimited) place: Boca Raton, FL price: 0.01 limitsGroup: maxCheckoutDays: 1500 copyPages: -1 pda: N printPagesOffline: 60 printPagesOnline: 60 previewPages: 10000 prePubGroup: dewey: @attributes: class: 006.31 item: 006 .31 lc: @attributes: class: Q325.5 item: Q 325 .5 artinfo: ui: 4023047 1450833877 formats: fmt: – @attributes: type: EB doid: NL$4023047$PDF caption: PDF download: Y – @attributes: type: EK doid: NL$4023047$EPUB caption: EPUB download: Y tig: atl: Practical Machine Learning : A Beginner's Guide with Ethical Insights ptl: Practical Machine Learning aug: au: Ally S. Nyamawe Mohamedi M. Mjahidi Noe E. Nnko Salim A. Diwani Godbless G. Minja Kulwa Malyango su: Machine learning Artificial intelligence sug: subj: COMPUTERS / Data Science / Machine Learning COMPUTERS / Social Aspects Machine learning Artificial intelligence ab: The book provides an accessible, comprehensive introduction for beginners to machine learning, equipping them with the fundamental skills and techniques essential for this field.It enables beginners to construct practical, real-world solutions powered by machine learning across diverse application domains. It demonstrates the fundamental techniques involved in data collection, integration, cleansing, transformation, development, and deployment of machine learning models. This book emphasizes the importance of integrating responsible and explainable AI into machine learning models, ensuring these principles are prioritized rather than treated as an afterthought. To support learning, this book also offers information on accessing additional machine learning resources such as datasets, libraries, pre-trained models, and tools for tracking machine learning models. This is a core resource for students and instructors of machine learning and data science looking for a beginner-friendly material which offers real-world applications and takes ethical discussions into account.The Open Access version of this book, available at http://www.taylorfrancis.com, has been made available under a Creative Commons Attribution-Non Commercial-No Derivatives (CC-BY-NC-ND) 4.0 license. pubtype: eBook doctype: Book ougenre: Book language: English copyright: @attributes: flag: N copyrightText: holdings: @attributes: islocal: N |
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