2005, ISBN: 9780521848053

The fundamental mathematical tools needed to understand machine learning include linear algebra, analytic geometry, matrix decompositions, vector calculus, optimization, probability and s… Mehr…

The fundamental mathematical tools needed to understand machine learning include linear algebra, analytic geometry, matrix decompositions, vector calculus, optimization, probability and statistics. These topics are traditionally taught in disparate courses, making it hard for data science or computer science students, or professionals, to efficiently learn the mathematics. This self contained textbook bridges the gap between mathematical and machine learning texts, introducing the mathematical concepts with a minimum of prerequisites. It uses these concepts to derive four central machine learning methods: linear regression, principal component analysis, Gaussian mixture models and support vector machines. For students and others with a mathematical background, these derivations provide a starting point to machine learning texts. For those learning the mathematics for the first time, the methods help build intuition and practical experience with applying mathematical concepts. Every chapter includes worked examples and exercises to test understanding. Programming tutorials are offered on the book's web site., Cambridge University Press, 6, ISBN: 9780521848053Cambridge University Press | 27 December 2005Hardback | 1056 pagesDescriptionThis book provides the most comprehensive treatment to date of microeconometrics, the analysis of individual-level data on the economic behavior of individuals or firms using regression methods for cross section and panel data. The book is oriented to the practitioner. A basic understanding of the linear regression model with matrix algebra is assumed. The text can be used for a microeconometrics course, typically a second-year economics PhD course; for data-oriented applied microeconometrics field courses; and as a reference work for graduate students and applied researchers who wish to fill in gaps in their toolkit. Distinguishing features of the book include emphasis on nonlinear models and robust inference, simulation-based estimation, and problems of complex survey data. The book makes frequent use of numerical examples based on generated data to illustrate the key models and methods. More substantially, it systematically integrates into the text empirical illustrations based on seven large and exceptionally rich data sets., 0<

2005, ISBN: 9780521848053

[ED: Gebunden], [PU: Cambridge University Pr.], This book provides the most comprehensive treatment to date of microeconometrics, the analysis of individual-level data on the economic beh… Mehr…

[ED: Gebunden], [PU: Cambridge University Pr.], This book provides the most comprehensive treatment to date of microeconometrics, the analysis of individual-level data on the economic behavior of individuals or firms using regression methods for cross section and panel data. The book is oriented to the practitioner. A basic understanding of the linear regression model with matrix algebra is assumed. The text can be used for a microeconometrics course, typically a second-year economics PhD course; for data-oriented applied microeconometrics field courses; and as a reference work for graduate students and applied researchers who wish to fill in gaps in their toolkit. Distinguishing features of the book include emphasis on nonlinear models and robust inference, simulation-based estimation, and problems of complex survey data. The book makes frequent use of numerical examples based on generated data to illustrate the key models and methods. More substantially, it systematically integrates into the text empirical illustrations based..., DE, [SC: 0.00], Neuware, gewerbliches Angebot, 1034, [GW: 1829g], Banküberweisung, PayPal, [CT: Sonstiges / Sonstiges]<

2005, ISBN: 9780521848053

[ED: Gebunden], [PU: Cambridge University Pr.], This book provides the most comprehensive treatment to date of microeconometrics, the analysis of individual-level data on the economic beh… Mehr…

[ED: Gebunden], [PU: Cambridge University Pr.], This book provides the most comprehensive treatment to date of microeconometrics, the analysis of individual-level data on the economic behavior of individuals or firms using regression methods for cross section and panel data. The book is oriented to the practitioner. A basic understanding of the linear regression model with matrix algebra is assumed. The text can be used for a microeconometrics course, typically a second-year economics PhD course; for data-oriented applied microeconometrics field courses; and as a reference work for graduate students and applied researchers who wish to fill in gaps in their toolkit. Distinguishing features of the book include emphasis on nonlinear models and robust inference, simulation-based estimation, and problems of complex survey data. The book makes frequent use of numerical examples based on generated data to illustrate the key models and methods. More substantially, it systematically integrates into the text empirical illustrations based..., DE, [SC: 0.00], Neuware, gewerbliches Angebot, 1034, [GW: 1829g], Banküberweisung, PayPal, [CT: Sonstiges / Sonstiges]<

2005, ISBN: 0521848059

[EAN: 9780521848053], Neubuch, [PU: Cambridge University Pr. Mai 2005], MIKROÖKONOMIE; ÖKONOMIK / MIKROÖKONOMIK; BUSINESS & ECONOMICS ECONOMETRICS; MICROECONOMICS, Neuware -This book prov… Mehr…

[EAN: 9780521848053], Neubuch, [PU: Cambridge University Pr. Mai 2005], MIKROÖKONOMIE; ÖKONOMIK / MIKROÖKONOMIK; BUSINESS & ECONOMICS ECONOMETRICS; MICROECONOMICS, Neuware -This book provides the most comprehensive treatment to date of microeconometrics, the analysis of individual-level data on the economic behavior of individuals or firms using regression methods for cross section and panel data. The book is oriented to the practitioner. A basic understanding of the linear regression model with matrix algebra is assumed. The text can be used for a microeconometrics course, typically a second-year economics PhD course; for data-oriented applied microeconometrics field courses; and as a reference work for graduate students and applied researchers who wish to fill in gaps in their toolkit. Distinguishing features of the book include emphasis on nonlinear models and robust inference, simulation-based estimation, and problems of complex survey data. The book makes frequent use of numerical examples based on generated data to illustrate the key models and methods. More substantially, it systematically integrates into the text empirical illustrations based on seven large and exceptionally rich data sets., Books<

2001, ISBN: 9780521848053

[ED: Buch], [PU: Cambridge University Pr.], Neuware - This book provides the most comprehensive treatment to date of microeconometrics, the analysis of individual-level data on the econom… Mehr…

[ED: Buch], [PU: Cambridge University Pr.], Neuware - This book provides the most comprehensive treatment to date of microeconometrics, the analysis of individual-level data on the economic behavior of individuals or firms using regression methods for cross section and panel data. The book is oriented to the practitioner. A basic understanding of the linear regression model with matrix algebra is assumed. The text can be used for a microeconometrics course, typically a second-year economics PhD course; for data-oriented applied microeconometrics field courses; and as a reference work for graduate students and applied researchers who wish to fill in gaps in their toolkit. Distinguishing features of the book include emphasis on nonlinear models and robust inference, simulation-based estimation, and problems of complex survey data. The book makes frequent use of numerical examples based on generated data to illustrate the key models and methods. More substantially, it systematically integrates into the text empirical illustrations based on seven large and exceptionally rich data sets., DE, [SC: 0.00], Neuware, gewerbliches Angebot, 261x182x61 mm, 1034, [GW: 1829g], Banküberweisung, PayPal<