Aydede yigit (38 Ergebnisse)
- Hardcover
Anbieter: GreatBookPrices, Columbia, MD, USAGreatBookPrices
Verkäufer/-in kontaktierenVerkäufer/-in mit 5 SternenZustand: Neu
EUR 88,48
EUR 2,30 VersandVersand innerhalb von USAAnzahl: 2 verfügbar
Zustand: New.
- Hardcover
Anbieter: Books Puddle, New York, NY, USABooks Puddle
Verkäufer/-in kontaktierenVerkäufer/-in mit 4 SternenZustand: Neu
EUR 87,28
EUR 3,48 VersandVersand innerhalb von USAAnzahl: 1 verfügbar
Zustand: New.
- Hardcover
Anbieter: Majestic Books, Hounslow, , Vereinigtes KönigreichMajestic Books
Verkäufer/-in kontaktierenVerkäufer/-in mit 4 SternenZustand: Neu
EUR 87,71
EUR 7,50 VersandVersand von Vereinigtes Königreich nach USAAnzahl: 1 verfügbar
Zustand: New.
- Hardcover
Anbieter: Biblios, frankfurt am main, HESSE, DeutschlandBiblios
Verkäufer/-in kontaktierenVerkäufer/-in mit 4 SternenZustand: Neu
EUR 88,12
EUR 9,95 VersandVersand von Deutschland nach USAAnzahl: 1 verfügbar
Zustand: New.
- Hardcover
Anbieter: Books From California, Simi Valley, CA, USABooks From California
Verkäufer/-in kontaktierenVerkäufer/-in mit 4 SternenZustand: Gebraucht - Sehr gut
EUR 98,41
EUR 4,35 VersandVersand innerhalb von USAAnzahl: 1 verfügbar
hardcover. Zustand: Fine.
- Hardcover
Anbieter: PBShop.store US, Wood Dale, IL, USAPBShop.store US
Verkäufer/-in kontaktierenVerkäufer/-in mit 5 SternenZustand: Neu
EUR 103,02
Versand nach gratisVersand innerhalb von USAAnzahl: 1 verfügbar
HRD. Zustand: New. New Book. Shipped from UK. Established seller since 2000.
- Hardcover
Anbieter: PBShop.store UK, Fairford, GLOS, Vereinigtes KönigreichPBShop.store UK
Verkäufer/-in kontaktierenVerkäufer/-in mit 5 SternenZustand: Neu
EUR 92,92
EUR 8,80 VersandVersand von Vereinigtes Königreich nach USAAnzahl: 1 verfügbar
HRD. Zustand: New. New Book. Shipped from UK. Established seller since 2000.
- Hardcover
Anbieter: GreatBookPrices, Columbia, MD, USAGreatBookPrices
Verkäufer/-in kontaktierenVerkäufer/-in mit 5 SternenZustand: Gebraucht - Wie neu
EUR 103,20
EUR 2,30 VersandVersand innerhalb von USAAnzahl: 2 verfügbar
Zustand: As New. Unread book in perfect condition.
- Hardcover
Anbieter: Ria Christie Collections, Uxbridge, Vereinigtes KönigreichRia Christie Collections
Verkäufer/-in kontaktierenVerkäufer/-in mit 5 SternenZustand: Neu
EUR 91,58
EUR 13,81 VersandVersand von Vereinigtes Königreich nach USAAnzahl: Mehr als 20 verfügbar
Zustand: New. In.
- Hardcover
Anbieter: Chiron Media, Wallingford, , Vereinigtes KönigreichChiron Media
Verkäufer/-in kontaktierenVerkäufer/-in mit 5 SternenZustand: Neu
EUR 89,13
EUR 17,86 VersandVersand von Vereinigtes Königreich nach USAAnzahl: 1 verfügbar
Hardcover. Zustand: New.
- Hardcover
Anbieter: GreatBookPricesUK, Woodford Green, Vereinigtes KönigreichGreatBookPricesUK
Verkäufer/-in kontaktierenVerkäufer/-in mit 5 SternenZustand: Neu
EUR 91,57
EUR 17,30 VersandVersand von Vereinigtes Königreich nach USAAnzahl: 2 verfügbar
Zustand: New.
- Hardcover
Anbieter: GreatBookPrices, Columbia, MD, USAGreatBookPrices
Verkäufer/-in kontaktierenVerkäufer/-in mit 5 SternenZustand: Neu
EUR 115,31
EUR 2,30 VersandVersand innerhalb von USAAnzahl: 9 verfügbar
Zustand: New.
- Hardcover
Anbieter: GreatBookPricesUK, Woodford Green, Vereinigtes KönigreichGreatBookPricesUK
Verkäufer/-in kontaktierenVerkäufer/-in mit 5 SternenZustand: Gebraucht - Wie neu
EUR 102,79
EUR 17,30 VersandVersand von Vereinigtes Königreich nach USAAnzahl: 2 verfügbar
Zustand: As New. Unread book in perfect condition.
- Hardcover
Anbieter: GreatBookPrices, Columbia, MD, USAGreatBookPrices
Verkäufer/-in kontaktierenVerkäufer/-in mit 5 SternenZustand: Gebraucht - Wie neu
EUR 118,44
EUR 2,30 VersandVersand innerhalb von USAAnzahl: 10 verfügbar
Zustand: As New. Unread book in perfect condition.
- Hardcover
Anbieter: Rarewaves.com USA, London, LONDO, Vereinigtes KönigreichRarewaves.com USA
Verkäufer/-in kontaktierenVerkäufer/-in mit 5 SternenZustand: Neu
EUR 128,94
Versand nach gratisVersand von Vereinigtes Königreich nach USAAnzahl: 1 verfügbar
Hardback. Zustand: New. Machine Learning Toolbox for Social Scientists covers predictive methods with complementary statistical "tools" that make it mostly self-contained. The inferential statistics is the traditional framework for most data analytics courses in social science and business fields, especially in Economics and Fin…ance. The new organization that this book offers goes beyond standard machine learning code applications, providing intuitive backgrounds for new predictive methods that social science and business students can follow. The book also adds many other modern statistical tools complementary to predictive methods that cannot be easily found in "econometrics" textbooks: nonparametric methods, data exploration with predictive models, penalized regressions, model selection with sparsity, dimension reduction methods, nonparametric time-series predictions, graphical network analysis, algorithmic optimization methods, classification with imbalanced data, and many others. This book is targeted at students and researchers who have no advanced statistical background, but instead coming from the tradition of "inferential statistics". The modern statistical methods the book provides allows it to be effectively used in teaching in the social science and business fields.Key Features: The book is structured for those who have been trained in a traditional statistics curriculum. There is one long initial section that covers the differences in "estimation" and "prediction" for people trained for causal analysis. The book develops a background framework for Machine learning applications from Nonparametric methods. SVM and NN simple enough without too much detail. It's self-sufficient. Nonparametric time-series predictions are new and covered in a separate section. Additional sections are added: Penalized Regressions, Dimension Reduction Methods, and Graphical Methods have been increasing in their popularity in social sciences.
- Hardcover
Anbieter: THE SAINT BOOKSTORE, Southport, , Vereinigtes KönigreichTHE SAINT BOOKSTORE
Verkäufer/-in kontaktierenVerkäufer/-in mit 5 SternenZustand: Neu
EUR 104,13
EUR 27,04 VersandVersand von Vereinigtes Königreich nach USAAnzahl: 1 verfügbar
Hardback. Zustand: New. New copy - Usually dispatched within 3 working days.
- Hardcover
Anbieter: GreatBookPricesUK, Woodford Green, Vereinigtes KönigreichGreatBookPricesUK
Verkäufer/-in kontaktierenVerkäufer/-in mit 5 SternenZustand: Neu
EUR 118,15
EUR 17,30 VersandVersand von Vereinigtes Königreich nach USAAnzahl: 10 verfügbar
Zustand: New.
- Hardcover
Anbieter: California Books, Miami, FL, USACalifornia Books
Verkäufer/-in kontaktierenVerkäufer/-in mit 4 SternenZustand: Neu
EUR 136,43
Versand nach gratisVersand innerhalb von USAAnzahl: Mehr als 20 verfügbar
Zustand: New.
- Hardcover
Anbieter: Majestic Books, Hounslow, , Vereinigtes KönigreichMajestic Books
Verkäufer/-in kontaktierenVerkäufer/-in mit 4 SternenZustand: Neu
EUR 128,75
EUR 7,50 VersandVersand von Vereinigtes Königreich nach USAAnzahl: 3 verfügbar
Zustand: New.
- Hardcover
Anbieter: GreatBookPricesUK, Woodford Green, Vereinigtes KönigreichGreatBookPricesUK
Verkäufer/-in kontaktierenVerkäufer/-in mit 5 SternenZustand: Gebraucht - Wie neu
EUR 119,18
EUR 17,30 VersandVersand von Vereinigtes Königreich nach USAAnzahl: 10 verfügbar
Zustand: As New. Unread book in perfect condition.
- Hardcover
Anbieter: Speedyhen, Hertfordshire, Vereinigtes KönigreichSpeedyhen
Verkäufer/-in kontaktierenVerkäufer/-in mit 5 SternenZustand: Neu
EUR 93,52
EUR 47,28 VersandVersand von Vereinigtes Königreich nach USAAnzahl: 1 verfügbar
Zustand: NEW.
- Hardcover
- Erstausgabe
Anbieter: Kennys Bookshop and Art Galleries Ltd., Galway, GY, IrlandKennys Bookshop and Art Galleries Ltd.
Verkäufer/-in kontaktierenVerkäufer/-in mit 5 SternenZustand: Neu
EUR 130,18
EUR 10,50 VersandVersand von Irland nach USAAnzahl: 1 verfügbar
Zustand: New. 2023. 1st Edition. hardcover. . . . . .
- Softcover
Anbieter: moluna, Greven, , Deutschlandmoluna
Verkäufer/-in kontaktierenVerkäufer/-in mit 5 SternenZustand: Neu
EUR 96,02
EUR 48,99 VersandVersand von Deutschland nach USAAnzahl: 1 verfügbar
Zustand: New.
- Hardcover
Anbieter: Rarewaves USA, OSWEGO, IL, USARarewaves USA
Verkäufer/-in kontaktierenVerkäufer/-in mit 5 SternenZustand: Neu
EUR 160,59
Versand nach gratisVersand innerhalb von USAAnzahl: Mehr als 20 verfügbar
Hardback. Zustand: New. Causal Inference and Machine Learning in Economics, Social, and Health Sciences bridges the gap between modern machine learning methods and the applied needs of economists, public health researchers, and social scientists. Designed with students and practitioners in mind, the book introduces machine learn…ing through the lens of causal inference, offering a rigorous yet accessible roadmap for using data to answer real-world policy questions.It combines econometric and machine learning methods such as penalized regressions, random forests, boosting, double machine learning, and the most up-to-date estimation methods for addressing selection on observables (e.g., matching, AIPW) and unobservables (e.g., instrumental variables, difference-in-differences, synthetic control). Readers learn how to estimate treatment effects, uncover heterogeneity, and work with high-dimensional data, while gaining clarity on assumptions, trade-offs, and limitations. The book also covers advanced and often underrepresented topics such as time series forecasting with machine learning methods, neural networks and deep learning, and core optimization algorithms like gradient descent. Each method is introduced with intuition, formal treatment, and applied examples from economics, health, labor, and development studies. It places special emphasis on transparency, identification, and interpretability.Beyond introducing models, it provides step-by-step guidance from raw data to estimation, showing not just what works, but how and why-both methodologically and computationally. Unlike many texts that rely on pre-built software or assume deep technical knowledge, this book builds from foundational concepts such as estimation, error decomposition, and bias-variance trade-offs, then progresses to advanced machine learning approaches. Simulation-based pedagogy helps readers visualize model behavior under known conditions, enabling researchers and students alike to see how statistical tools perform across diverse empirical settings.A distinctive feature of the book is its focus on when and how to use predictive versus causal models. Rather than treating them as separate tasks, it shows how each can inform the other. Practical insights, diagnostics, and examples guide readers in selecting appropriate tools based on research goals and data characteristics.With its clear style, practical code in R, and integrated approach to prediction and causality, this book is an essential resource for applied researchers, students, and anyone using data to inform policy and decision-making.KEY FEATURESIntegrates causal inference with the latest econometric and machine learning methods to address real-world policy questions in economics, health, and the social sciences.Offers clear, detailed explanations and intuitive guidance-even for foundational concepts often overlooked in other sources-to build theoretical understanding and link econometric principles to application.Designed for applied researche.
- Hardcover
Anbieter: Books Puddle, New York, NY, USABooks Puddle
Verkäufer/-in kontaktierenVerkäufer/-in mit 4 SternenZustand: Neu
EUR 165,36
EUR 3,48 VersandVersand innerhalb von USAAnzahl: 3 verfügbar
Zustand: New.
- Hardcover
Anbieter: Biblios, frankfurt am main, HESSE, DeutschlandBiblios
Verkäufer/-in kontaktierenVerkäufer/-in mit 4 SternenZustand: Neu
EUR 155,92
EUR 9,95 VersandVersand von Deutschland nach USAAnzahl: 3 verfügbar
Zustand: New.
- Hardcover
Anbieter: Kennys Bookstore, Olney, MD, USAKennys Bookstore
Verkäufer/-in kontaktierenVerkäufer/-in mit 5 SternenZustand: Neu
EUR 165,37
EUR 9,15 VersandVersand innerhalb von USAAnzahl: 1 verfügbar
Zustand: New. 2023. 1st Edition. hardcover. . . . . . Books ship from the US and Ireland.
- Hardcover
Anbieter: Revaluation Books, Exeter, , Vereinigtes KönigreichRevaluation Books
Verkäufer/-in kontaktierenVerkäufer/-in mit 5 SternenZustand: Neu
EUR 171,80
EUR 23,06 VersandVersand von Vereinigtes Königreich nach USAAnzahl: 2 verfügbar
Hardcover. Zustand: Brand New. 336 pages. 10.00x7.00x1.26 inches. In Stock.
- Hardcover
Anbieter: Rarewaves.com UK, London, Vereinigtes KönigreichRarewaves.com UK
Verkäufer/-in kontaktierenVerkäufer/-in mit 5 SternenZustand: Neu
EUR 121,03
EUR 74,95 VersandVersand von Vereinigtes Königreich nach USAAnzahl: 1 verfügbar
Hardback. Zustand: New. Machine Learning Toolbox for Social Scientists covers predictive methods with complementary statistical "tools" that make it mostly self-contained. The inferential statistics is the traditional framework for most data analytics courses in social science and business fields, especially in Economics and Fin…ance. The new organization that this book offers goes beyond standard machine learning code applications, providing intuitive backgrounds for new predictive methods that social science and business students can follow. The book also adds many other modern statistical tools complementary to predictive methods that cannot be easily found in "econometrics" textbooks: nonparametric methods, data exploration with predictive models, penalized regressions, model selection with sparsity, dimension reduction methods, nonparametric time-series predictions, graphical network analysis, algorithmic optimization methods, classification with imbalanced data, and many others. This book is targeted at students and researchers who have no advanced statistical background, but instead coming from the tradition of "inferential statistics". The modern statistical methods the book provides allows it to be effectively used in teaching in the social science and business fields.Key Features: The book is structured for those who have been trained in a traditional statistics curriculum. There is one long initial section that covers the differences in "estimation" and "prediction" for people trained for causal analysis. The book develops a background framework for Machine learning applications from Nonparametric methods. SVM and NN simple enough without too much detail. It's self-sufficient. Nonparametric time-series predictions are new and covered in a separate section. Additional sections are added: Penalized Regressions, Dimension Reduction Methods, and Graphical Methods have been increasing in their popularity in social sciences.
- Hardcover
Anbieter: Rarewaves.com USA, London, LONDO, Vereinigtes KönigreichRarewaves.com USA
Verkäufer/-in kontaktierenVerkäufer/-in mit 5 SternenZustand: Neu
EUR 206,47
Versand nach gratisVersand von Vereinigtes Königreich nach USAAnzahl: Mehr als 20 verfügbar
Hardback. Zustand: New. Causal Inference and Machine Learning in Economics, Social, and Health Sciences bridges the gap between modern machine learning methods and the applied needs of economists, public health researchers, and social scientists. Designed with students and practitioners in mind, the book introduces machine learn…ing through the lens of causal inference, offering a rigorous yet accessible roadmap for using data to answer real-world policy questions.It combines econometric and machine learning methods such as penalized regressions, random forests, boosting, double machine learning, and the most up-to-date estimation methods for addressing selection on observables (e.g., matching, AIPW) and unobservables (e.g., instrumental variables, difference-in-differences, synthetic control). Readers learn how to estimate treatment effects, uncover heterogeneity, and work with high-dimensional data, while gaining clarity on assumptions, trade-offs, and limitations. The book also covers advanced and often underrepresented topics such as time series forecasting with machine learning methods, neural networks and deep learning, and core optimization algorithms like gradient descent. Each method is introduced with intuition, formal treatment, and applied examples from economics, health, labor, and development studies. It places special emphasis on transparency, identification, and interpretability.Beyond introducing models, it provides step-by-step guidance from raw data to estimation, showing not just what works, but how and why-both methodologically and computationally. Unlike many texts that rely on pre-built software or assume deep technical knowledge, this book builds from foundational concepts such as estimation, error decomposition, and bias-variance trade-offs, then progresses to advanced machine learning approaches. Simulation-based pedagogy helps readers visualize model behavior under known conditions, enabling researchers and students alike to see how statistical tools perform across diverse empirical settings.A distinctive feature of the book is its focus on when and how to use predictive versus causal models. Rather than treating them as separate tasks, it shows how each can inform the other. Practical insights, diagnostics, and examples guide readers in selecting appropriate tools based on research goals and data characteristics.With its clear style, practical code in R, and integrated approach to prediction and causality, this book is an essential resource for applied researchers, students, and anyone using data to inform policy and decision-making.KEY FEATURESIntegrates causal inference with the latest econometric and machine learning methods to address real-world policy questions in economics, health, and the social sciences.Offers clear, detailed explanations and intuitive guidance-even for foundational concepts often overlooked in other sources-to build theoretical understanding and link econometric principles to application.Designed for applied researche.
