The book begins with an overview of the different types of machine learning algorithms, including supervised learning, unsupervised learning, and reinforcement learning. The authors then discuss the various data processing techniques that are essential for machine learning, such as data cleaning, feature engineering, and model selection.In the following chapters, the book covers a wide range of machine learning topics, including:Regression: A technique for predicting continuous target values.Classification: A technique for predicting categorical target values.Clustering: A technique for grouping similar data points together.Dimensionality reduction: A technique for reducing the number of features in a dataset.Model evaluation: A technique for assessing the performance of a machine learning model.The book also includes a chapter on deep learning, which is a subfield of machine learning that has gained popularity in recent years.
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Da: Books Puddle, New York, NY, U.S.A.
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Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware 104 pp. Englisch. Codice articolo 9786207448760
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Da: Majestic Books, Hounslow, Regno Unito
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Da: Biblios, Frankfurt am main, HESSE, Germania
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Da: moluna, Greven, Germania
Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. The book begins with an overview of the different types of machine learning algorithms, including supervised learning, unsupervised learning, and reinforcement learning. The authors then discuss the various data processing techniques that are essential for . Codice articolo 1311648402
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Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -The book begins with an overview of the different types of machine learning algorithms, including supervised learning, unsupervised learning, and reinforcement learning. The authors then discuss the various data processing techniques that are essential for machine learning, such as data cleaning, feature engineering, and model selection.In the following chapters, the book covers a wide range of machine learning topics, including:Regression: A technique for predicting continuous target values.Classification: A technique for predicting categorical target values.Clustering: A technique for grouping similar data points together.Dimensionality reduction: A technique for reducing the number of features in a dataset.Model evaluation: A technique for assessing the performance of a machine learning model.The book also includes a chapter on deep learning, which is a subfield of machine learning that has gained popularity in recent years.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 104 pp. Englisch. Codice articolo 9786207448760
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Da: preigu, Osnabrück, Germania
Taschenbuch. Condizione: Neu. Machine learning using AI | Lilly Sheeba S. (u. a.) | Taschenbuch | Englisch | 2023 | LAP LAMBERT Academic Publishing | EAN 9786207448760 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. Codice articolo 128201326
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Da: AHA-BUCH GmbH, Einbeck, Germania
Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The book begins with an overview of the different types of machine learning algorithms, including supervised learning, unsupervised learning, and reinforcement learning. The authors then discuss the various data processing techniques that are essential for machine learning, such as data cleaning, feature engineering, and model selection.In the following chapters, the book covers a wide range of machine learning topics, including:Regression: A technique for predicting continuous target values.Classification: A technique for predicting categorical target values.Clustering: A technique for grouping similar data points together.Dimensionality reduction: A technique for reducing the number of features in a dataset.Model evaluation: A technique for assessing the performance of a machine learning model.The book also includes a chapter on deep learning, which is a subfield of machine learning that has gained popularity in recent years. Codice articolo 9786207448760
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Da: Mispah books, Redhill, SURRE, Regno Unito
paperback. Condizione: New. NEW. SHIPS FROM MULTIPLE LOCATIONS. book. Codice articolo ERICA80062074487666
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