Statistical regression and classification. From linear models to machine learning

Statistical Regression and Classificatio

📁 Statistical Regression and Classification: From Linear Models to Machine Learning

✍ Norman Matloff 📂 Library 📅 2017 🏛 Chapman and Hall/CRC 🌐 English

Statistical Regression and Classification: From Linear Models to Machine Learning takes an innovative look at the traditional statistical regression course, presenting a contemporary treatment in line with today's applications and users. The text takes a modern look at regression: * A thor

Statistical Regression and Classificatio

📁 Statistical Regression and Classification: From Linear Models to Machine Learning

✍ Norman Matloff 📂 Library 📅 2017 🏛 Chapman and Hall/CRC 🌐 English

Statistical Regression and Classification: From Linear Models to Machine Learning takes an innovative look at the traditional statistical regression course, presenting a contemporary treatment in line with today's applications and users. The text takes a modern look at regression: * A thor

Linear Regression: An Introduction to St

📁 Linear Regression: An Introduction to Statistical Models

✍ Peter Martin 📂 Library 📅 2022 🏛 SAGE Publications 🌐 English

Part of The SAGE Quantitative Research Kit, this text helps you make the crucial steps towards mastering multivariate analysis of social science data, introducing the fundamental linear and non-linear regression models used in quantitative research. Peter Martin covers both the theory and appl

Models of Modals: From Pragmatics and Co

📁 Models of Modals: From Pragmatics and Corpus Linguistics to Machine Learning

✍ Ilse Depraetere, Bert Cappelle, Martin Hilpert, Pascal Denis, Mathieu Dehouck, S 📂 Library 📅 2023 🏛 De Gruyter Mouton 🌐 English

Modal verbs in English communicate delicate shades of meaning, there being a large range of verbs both on the necessity side (must, have to, should, ought to, need<spa

Models of Modals: From Pragmatics and Co

📁 Models of Modals: From Pragmatics and Corpus Linguistics to Machine Learning

📂 Library 📅 2023 🏛 Walter de Gruyter GmbH & Co KG 🌐 English

Modal verbs in English communicate delicate shades of meaning, there being a large range of verbs both on the necessity side (must, have to, should, ought to, need, need to) and the possibility side (can, may, could, might, be able to). They therefore constitute excellent test ground to apply and co

Regression: Linear Models in Statistics

📁 Regression: Linear Models in Statistics

✍ N. H. Bingham, John M. Fry 📂 Library 📅 2010 🏛 Springer 🌐 English

Regression is the branch of Statistics in which a dependent variable of interest is modelled as a linear combination of one or more predictor variables, together with a random error. The subject is inherently two- or higher- dimensional, thus an understanding of Statistics in one dimension is