This book is developed for those readers who wish to be introduced to the world of artificial intelligence. First, an introduction to machine learning, its origins, evolution and applications is given. Next, supervised learning and the different algorithms used for data training are discussed, ranging from problem solving using regression and classification techniques. For each machine learning model implemented, the fundamentals are explained and guided exercises are performed, allowing the reader to be taken step by step through the learning process. This document becomes a didactic guide, which offers the tools to understand the operation of each model used and its applications. At the end of each section, exercises are presented for the reader to develop and test their knowledge.
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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware 92 pp. Englisch. N° de réf. du vendeur 9786206729143
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Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This book is developed for those readers who wish to be introduced to the world of artificial intelligence. First, an introduction to machine learning, its origins, evolution and applications is given. Next, supervised learning and the different algorithms used for data training are discussed, ranging from problem solving using regression and classification techniques. For each machine learning model implemented, the fundamentals are explained and guided exercises are performed, allowing the reader to be taken step by step through the learning process. This document becomes a didactic guide, which offers the tools to understand the operation of each model used and its applications. At the end of each section, exercises are presented for the reader to develop and test their knowledge. N° de réf. du vendeur 9786206729143
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Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book is developed for those readers who wish to be introduced to the world of artificial intelligence. First, an introduction to machine learning, its origins, evolution and applications is given. Next, supervised learning and the different algorithms used for data training are discussed, ranging from problem solving using regression and classification techniques. For each machine learning model implemented, the fundamentals are explained and guided exercises are performed, allowing the reader to be taken step by step through the learning process. This document becomes a didactic guide, which offers the tools to understand the operation of each model used and its applications. At the end of each section, exercises are presented for the reader to develop and test their knowledge.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 92 pp. Englisch. N° de réf. du vendeur 9786206729143
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Taschenbuch. Etat : Neu. INTRODUCTION TO REGRESSION AND CLASSIFICATION MODELS CLASSIFICATION WITH ML | A Practical Guide from Theory to Evaluation | Juan José Gúzman (u. a.) | Taschenbuch | Englisch | 2025 | Our Knowledge Publishing | EAN 9786206729143 | Verantwortliche Person für die EU: SIA OmniScriptum Publishing, Brivibas Gatve 197, 1039 RIGA, LETTLAND, customerservice[at]vdm-vsg[dot]de | Anbieter: preigu. N° de réf. du vendeur 133580418
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