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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Hlavní autoři:	Nyamawe, Ally S, Mjahidi, Mohamedi M, Nnko, Noe E, Diwani, Salim A, Minja, Godbless G, Malyango, Kulwa
Médium:	E-kniha
Jazyk:	angličtina
Vydáno:	Taylor & Francis 2025
Témata:	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
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