Explanatory Model Analysis - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Explanatory Model Analysis write by Przemyslaw Biecek. This book was released on 2021-02-15. Explanatory Model Analysis available in PDF, EPUB and Kindle. Explanatory Model Analysis Explore, Explain and Examine Predictive Models is a set of methods and tools designed to build better predictive models and to monitor their behaviour in a changing environment. Today, the true bottleneck in predictive modelling is neither the lack of data, nor the lack of computational power, nor inadequate algorithms, nor the lack of flexible models. It is the lack of tools for model exploration (extraction of relationships learned by the model), model explanation (understanding the key factors influencing model decisions) and model examination (identification of model weaknesses and evaluation of model's performance). This book presents a collection of model agnostic methods that may be used for any black-box model together with real-world applications to classification and regression problems.
Explanatory Model Analysis
Explanatory Model Analysis - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Explanatory Model Analysis write by Przemyslaw Biecek. This book was released on 2021-02-15. Explanatory Model Analysis available in PDF, EPUB and Kindle. Explanatory Model Analysis Explore, Explain and Examine Predictive Models is a set of methods and tools designed to build better predictive models and to monitor their behaviour in a changing environment. Today, the true bottleneck in predictive modelling is neither the lack of data, nor the lack of computational power, nor inadequate algorithms, nor the lack of flexible models. It is the lack of tools for model exploration (extraction of relationships learned by the model), model explanation (understanding the key factors influencing model decisions) and model examination (identification of model weaknesses and evaluation of model's performance). This book presents a collection of model agnostic methods that may be used for any black-box model together with real-world applications to classification and regression problems.
The Explanatory Power of Models
The Explanatory Power of Models - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook The Explanatory Power of Models write by Robert Franck. This book was released on 2013-11-11. The Explanatory Power of Models available in PDF, EPUB and Kindle. This book progressively works out a method of constructing models which can bridge the gap between empirical and theoretical research in the social sciences. It aims to improve the explanatory power of models. The issue is quite novel, and has benefited from a thorough examination of statistical and mathematical models, conceptual models, diagrams and maps, machines, computer simulations, and artificial neural networks.
Interpretable Machine Learning
Interpretable Machine Learning - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Interpretable Machine Learning write by Christoph Molnar. This book was released on 2020. Interpretable Machine Learning available in PDF, EPUB and Kindle. This book is about making machine learning models and their decisions interpretable. After exploring the concepts of interpretability, you will learn about simple, interpretable models such as decision trees, decision rules and linear regression. Later chapters focus on general model-agnostic methods for interpreting black box models like feature importance and accumulated local effects and explaining individual predictions with Shapley values and LIME. All interpretation methods are explained in depth and discussed critically. How do they work under the hood? What are their strengths and weaknesses? How can their outputs be interpreted? This book will enable you to select and correctly apply the interpretation method that is most suitable for your machine learning project.
Explanatory Item Response Models
Explanatory Item Response Models - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Explanatory Item Response Models write by Paul de Boeck. This book was released on 2013-03-09. Explanatory Item Response Models available in PDF, EPUB and Kindle. This edited volume gives a new and integrated introduction to item response models (predominantly used in measurement applications in psychology, education, and other social science areas) from the viewpoint of the statistical theory of generalized linear and nonlinear mixed models. It also includes a chapter on the statistical background and one on useful software.
