Statistical Foundations of Data Science

Statistical Foundations Of Data Science

📁 Statistical Foundations Of Data Science

✍ Jianqing Fan, Runze Li, Cun-Hui Zhang, Hui Zou 📂 Library 📅 2020 🏛 Chapman&Hall/CRC /Taylor & Francis Group 🌐 English

Statistical Foundations of Data Science gives a thorough introduction to commonly used statistical models, contemporary statistical machine learning techniques and algorithms, along with their mathematical insights and statistical theories. It aims to serve as a graduate-level textbook and a researc

Statistical Foundations Of Data Science

📁 Statistical Foundations Of Data Science

✍ Jianqing Fan, Runze Li, Cun-Hui Zhang, Hui Zou 📂 Library 📅 2020 🏛 Chapman&Hall/CRC /Taylor & Francis Group 🌐 English

Statistical Foundations of Data Science gives a thorough introduction to commonly used statistical models, contemporary statistical machine learning techniques and algorithms, along with their mathematical insights and statistical theories. It aims to serve as a graduate-level textbook and a researc

Statistical Foundations, Reasoning and I

📁 Statistical Foundations, Reasoning and Inference: For Science and Data Science (Springer Series in Statistics)

✍ Göran Kauermann, Helmut Küchenhoff, Christian Heumann 📂 Library 📅 2021 🏛 Springer 🌐 English

<p><span>This textbook provides a comprehensive introduction to statistical principles, concepts and methods that are essential in modern statistics and data science. The topics covered include likelihood-based inference, Bayesian statistics, regression, statistical tests and the quantification of u

Statistical Foundations, Reasoning and I

📁 Statistical Foundations, Reasoning and Inference: For Science and Data Science (Springer Series in Statistics)

✍ Göran Kauermann, Helmut Küchenhoff, Christian Heumann 📂 Library 📅 2021 🏛 Springer 🌐 English

<p><span>This textbook provides a comprehensive introduction to statistical principles, concepts and methods that are essential in modern statistics and data science. The topics covered include likelihood-based inference, Bayesian statistics, regression, statistical tests and the quantification of u

Foundations Of Data Science

📁 Foundations Of Data Science

✍ Avrim Blum, John Hopcroft, Ravindran Kannan 📂 Library 📅 2020 🏛 Cambridge University Press 🌐 English

This book provides an introduction to the mathematical and algorithmic foundations of data science, including machine learning, high-dimensional geometry, and analysis of large networks. Topics include the counterintuitive nature of data in high dimensions, important linear algebraic techniques such

Foundations of data science

📁 Foundations of data science

✍ Blum, Avrim; Hopcroft, John E.; Kannan, Ravindran 📂 Library 📅 2020 🏛 Cambridge University Press 🌐 English

"This book provides an introduction to the mathematical and algorithmic foundations of data science, including machine learning, high-dimensional geometry, and analysis of large networks. Topics include the counterintuitive nature of data in high dimensions, important linear algebraic techniques suc