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...

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Bibliographic Details
Main Authors:	Nyamawe, Ally S, Mjahidi, Mohamedi M, Nnko, Noe E, Diwani, Salim A, Minja, Godbless G, Malyango, Kulwa
Format:	eBook
Language:	English
Published:	Taylor & Francis 2025
Subjects:	Artificial intelligence Automatic control engineering choosing algorith classification cloud computing Computer programming / software engineering Computer science Computer Technology Computing and Information Technology data cleaning data collection Electronics and communications engineering Electronics engineering Ethics explainable AI hyperparameter optimization Nonfiction pre-processing programming Programming and scripting languages: general python regression responsible AI Software Engineering Technology, Engineering, Agriculture, Industrial processes XAI
ISBN:	9781040267639, 1040267637, 1032770295, 1003486819, 1032782161, 1040267661, 9781003486817, 9781032782164, 9781040267660, 9781032770291
Online Access:	Get full text
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