Applied Machine Learning Starter is a 10-week, hands-on introduction for beginners. You'll move from core concepts to a complete project, learning by doing with Python and key libraries. Each week focuses on a practical skill: setting up tools, building models (linear/logistic regression, decision trees), evaluating performance, and exploring clustering, dimensionality reduction, and neural networks. The structured approach balances theory with application, culminating in an end-to-end project that integrates all concepts. Designed for clarity and real-world relevance, this guide equips you with the foundational skills and confidence to start solving problems with machine learning.
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Applied Machine Learning is authored by four assistant professors from Holy Cross College, Tiruchirappalli, specializing in Machine Learning, Deep Learning, and Data Analytics. They combine active research, publications, and industry-aligned teaching to deliver a practical, project-focused guide for students and aspiring practitioners.
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Taschenbuch. Zustand: Neu. Applied Machine Learning | J. Mercy Rosary (u. a.) | Taschenbuch | Englisch | 2026 | LAP LAMBERT Academic Publishing | EAN 9786207452972 | Verantwortliche Person für die EU: SIA OmniScriptum Publishing, Brivibas Gatve 197, 1039 RIGA, LETTLAND, customerservice[at]vdm-vsg[dot]de | Anbieter: preigu. Artikel-Nr. 134650199
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