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Statistics and Machine Learning Techniques: Regression Model and Radial Basis Functions Model - Softcover
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This book explains the comparison of Statistical Technique and Machine Learning Technique, specifically the Regression Model and the Radial Basis Function Neural Network (RBFNN) Model. This explanation involves the Mathematical theory and principle upon which RBFNN model was developed and it manages the generally belief that Machine Learning techniques are “Black Box” meaning that the Mathematics of Neural Network cannot be explained. Therefore, this book explains the Mathematics of the Radial Basis Functions which depends on the Gaussian function. Some estimates of the two models were compared and explained in this book such as the Sum of Squares of Errors, Bayesian Information Criterion and the Relative Importance of each explanatory variable.
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Statistics and Machine Learning Techniques
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LAP LAMBERT Academic Publishing, 2021
ISBN 10: 6203583960
ISBN 13: 9786203583960
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Seller: Books Puddle, Woodside, NY, U.S.A.
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Condition: New. pp. 64. Seller Inventory # 26391765704
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Statistics and Machine Learning Techniques
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LAP LAMBERT Academic Publishing, 2021
ISBN 10: 6203583960
ISBN 13: 9786203583960
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Statistics and Machine Learning Techniques
Published by
LAP LAMBERT Academic Publishing Apr 2021, 2021
ISBN 10: 6203583960
ISBN 13: 9786203583960
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Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book explains the comparison of Statistical Technique and Machine Learning Technique, specifically the Regression Model and the Radial Basis Function Neural Network (RBFNN) Model. This explanation involves the Mathematical theory and principle upon which RBFNN model was developed and it manages the generally belief that Machine Learning techniques are 'Black Box' meaning that the Mathematics of Neural Network cannot be explained. Therefore, this book explains the Mathematics of the Radial Basis Functions which depends on the Gaussian function. Some estimates of the two models were compared and explained in this book such as the Sum of Squares of Errors, Bayesian Information Criterion and the Relative Importance of each explanatory variable. 64 pp. Englisch. Seller Inventory # 9786203583960
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Statistics and Machine Learning Techniques
Published by
LAP LAMBERT Academic Publishing, 2021
ISBN 10: 6203583960
ISBN 13: 9786203583960
New
Softcover
Seller: Biblios, Frankfurt am main, HESSE, Germany
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Condition: New. PRINT ON DEMAND pp. 64. Seller Inventory # 18391765698
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Statistics and Machine Learning Techniques : Regression Model and Radial Basis Functions Model
Published by
LAP LAMBERT Academic Publishing, 2021
ISBN 10: 6203583960
ISBN 13: 9786203583960
New
Taschenbuch
Seller: AHA-BUCH GmbH, Einbeck, Germany
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This book explains the comparison of Statistical Technique and Machine Learning Technique, specifically the Regression Model and the Radial Basis Function Neural Network (RBFNN) Model. This explanation involves the Mathematical theory and principle upon which RBFNN model was developed and it manages the generally belief that Machine Learning techniques are 'Black Box' meaning that the Mathematics of Neural Network cannot be explained. Therefore, this book explains the Mathematics of the Radial Basis Functions which depends on the Gaussian function. Some estimates of the two models were compared and explained in this book such as the Sum of Squares of Errors, Bayesian Information Criterion and the Relative Importance of each explanatory variable. Seller Inventory # 9786203583960
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Statistics and Machine Learning Techniques
Published by
LAP LAMBERT Academic Publishing, 2021
ISBN 10: 6203583960
ISBN 13: 9786203583960
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Seller: moluna, Greven, Germany
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Akinboro DanielMr Akinboro is a Statistician, a Data Analyst, a Programmer, a Business Evaluator and a Lecturer of Advance Mathematics, Statistics and Physics with a six years experience. The author holds a B.Sc. (Hons) in Statistics. Seller Inventory # 468666802
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Statistics and Machine Learning Techniques
Published by
LAP LAMBERT Academic Publishing Apr 2021, 2021
ISBN 10: 6203583960
ISBN 13: 9786203583960
New
Taschenbuch
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
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Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book explains the comparison of Statistical Technique and Machine Learning Technique, specifically the Regression Model and the Radial Basis Function Neural Network (RBFNN) Model. This explanation involves the Mathematical theory and principle upon which RBFNN model was developed and it manages the generally belief that Machine Learning techniques are 'Black Box' meaning that the Mathematics of Neural Network cannot be explained. Therefore, this book explains the Mathematics of the Radial Basis Functions which depends on the Gaussian function. Some estimates of the two models were compared and explained in this book such as the Sum of Squares of Errors, Bayesian Information Criterion and the Relative Importance of each explanatory variable.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 64 pp. Englisch. Seller Inventory # 9786203583960
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Statistics and Machine Learning Techniques | Regression Model and Radial Basis Functions Model
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LAP LAMBERT Academic Publishing, 2021
ISBN 10: 6203583960
ISBN 13: 9786203583960
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Seller: preigu, Osnabrück, Germany
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Taschenbuch. Condition: Neu. Statistics and Machine Learning Techniques | Regression Model and Radial Basis Functions Model | Daniel Akinboro | Taschenbuch | Englisch | 2021 | LAP LAMBERT Academic Publishing | EAN 9786203583960 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. Seller Inventory # 119945847