9786206166115 - the fundamentals of machine learning: de von bhatt, bhagirath; sandeep gaikwad, anjali; uganya, g (9 Ergebnisse)
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Taschenbuch. Zustand: Neu. The Fundamentals of Machine Learning | Bhagirath Bhatt (u. a.) | Taschenbuch | Englisch | 2023 | LAP LAMBERT Academic Publishing | EAN 9786206166115 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.
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Taschenbuch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -'The Fundamentals of Machine Learning' is designed to be accessible to readers with a basic understanding of mathematics and programming. We start with an introduction to the key concepts, exploring the different types of machine lear…ning algorithms and their applications. From there, we delve into the essential building blocks, including data preprocessing, feature engineering, model selection, and evaluation. We also cover important topics such as overfitting, regularization, and cross-validation to help you develop models that generalize well.It is important to note that machine learning is a rapidly evolving field, with new algorithms, techniques, and applications emerging regularly. While this book provides a strong foundation, it is always advisable to explore the latest research and developments beyond its scope. The field of machine learning offers endless possibilities for innovation, and we hope that this book will inspire you to explore further and contribute to its growth. 148 pp. Englisch.
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Kartoniert / Broschiert. Zustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Bhatt BhagirathMr. Bhagirath Bhatt, Department of ECE, A V Parekh Technical Institute, RajkotProf.Anjali Sandeep Gaikwad, Department of Computer Application, Bharati Vidyapeeth (D…eemed to be University), Institute of Management, Kolh.
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Taschenbuch. Zustand: Neu. This item is printed on demand - Print on Demand Titel. Neuware -'The Fundamentals of Machine Learning' is designed to be accessible to readers with a basic understanding of mathematics and programming. We start with an introduction to the key concepts, exploring the different types of machine learning… algorithms and their applications. From there, we delve into the essential building blocks, including data preprocessing, feature engineering, model selection, and evaluation. We also cover important topics such as overfitting, regularization, and cross-validation to help you develop models that generalize well.It is important to note that machine learning is a rapidly evolving field, with new algorithms, techniques, and applications emerging regularly. While this book provides a strong foundation, it is always advisable to explore the latest research and developments beyond its scope. The field of machine learning offers endless possibilities for innovation, and we hope that this book will inspire you to explore further and contribute to its growth.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 148 pp. Englisch.
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Taschenbuch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 'The Fundamentals of Machine Learning' is designed to be accessible to readers with a basic understanding of mathematics and programming. We start with an introduction to the key concepts, exploring the different types of machine learning…algorithms and their applications. From there, we delve into the essential building blocks, including data preprocessing, feature engineering, model selection, and evaluation. We also cover important topics such as overfitting, regularization, and cross-validation to help you develop models that generalize well.It is important to note that machine learning is a rapidly evolving field, with new algorithms, techniques, and applications emerging regularly. While this book provides a strong foundation, it is always advisable to explore the latest research and developments beyond its scope. The field of machine learning offers endless possibilities for innovation, and we hope that this book will inspire you to explore further and contribute to its growth.
