Targeted Learning in Data Science - 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 Targeted Learning in Data Science write by Mark J. van der Laan. This book was released on 2018-03-28. Targeted Learning in Data Science available in PDF, EPUB and Kindle. This textbook for graduate students in statistics, data science, and public health deals with the practical challenges that come with big, complex, and dynamic data. It presents a scientific roadmap to translate real-world data science applications into formal statistical estimation problems by using the general template of targeted maximum likelihood estimators. These targeted machine learning algorithms estimate quantities of interest while still providing valid inference. Targeted learning methods within data science area critical component for solving scientific problems in the modern age. The techniques can answer complex questions including optimal rules for assigning treatment based on longitudinal data with time-dependent confounding, as well as other estimands in dependent data structures, such as networks. Included in Targeted Learning in Data Science are demonstrations with soft ware packages and real data sets that present a case that targeted learning is crucial for the next generation of statisticians and data scientists. Th is book is a sequel to the first textbook on machine learning for causal inference, Targeted Learning, published in 2011. Mark van der Laan, PhD, is Jiann-Ping Hsu/Karl E. Peace Professor of Biostatistics and Statistics at UC Berkeley. His research interests include statistical methods in genomics, survival analysis, censored data, machine learning, semiparametric models, causal inference, and targeted learning. Dr. van der Laan received the 2004 Mortimer Spiegelman Award, the 2005 Van Dantzig Award, the 2005 COPSS Snedecor Award, the 2005 COPSS Presidential Award, and has graduated over 40 PhD students in biostatistics and statistics. Sherri Rose, PhD, is Associate Professor of Health Care Policy (Biostatistics) at Harvard Medical School. Her work is centered on developing and integrating innovative statistical approaches to advance human health. Dr. Rose’s methodological research focuses on nonparametric machine learning for causal inference and prediction. She co-leads the Health Policy Data Science Lab and currently serves as an associate editor for the Journal of the American Statistical Association and Biostatistics.
Targeted Learning
Targeted 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 Targeted Learning write by Mark J. van der Laan. This book was released on 2011-06-17. Targeted Learning available in PDF, EPUB and Kindle. The statistics profession is at a unique point in history. The need for valid statistical tools is greater than ever; data sets are massive, often measuring hundreds of thousands of measurements for a single subject. The field is ready to move towards clear objective benchmarks under which tools can be evaluated. Targeted learning allows (1) the full generalization and utilization of cross-validation as an estimator selection tool so that the subjective choices made by humans are now made by the machine, and (2) targeting the fitting of the probability distribution of the data toward the target parameter representing the scientific question of interest. This book is aimed at both statisticians and applied researchers interested in causal inference and general effect estimation for observational and experimental data. Part I is an accessible introduction to super learning and the targeted maximum likelihood estimator, including related concepts necessary to understand and apply these methods. Parts II-IX handle complex data structures and topics applied researchers will immediately recognize from their own research, including time-to-event outcomes, direct and indirect effects, positivity violations, case-control studies, censored data, longitudinal data, and genomic studies.
A Hands-On Introduction to Data Science
A Hands-On Introduction to Data Science - 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 A Hands-On Introduction to Data Science write by Chirag Shah. This book was released on 2020-04-02. A Hands-On Introduction to Data Science available in PDF, EPUB and Kindle. An introductory textbook offering a low barrier entry to data science; the hands-on approach will appeal to students from a range of disciplines.
Data Science and Machine Learning
Data Science and 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 Data Science and Machine Learning write by Dirk P. Kroese. This book was released on 2019-11-20. Data Science and Machine Learning available in PDF, EPUB and Kindle. Focuses on mathematical understanding Presentation is self-contained, accessible, and comprehensive Full color throughout Extensive list of exercises and worked-out examples Many concrete algorithms with actual code
Statistical Learning and Data Science
Statistical Learning and Data Science - 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 Statistical Learning and Data Science write by Mireille Gettler Summa. This book was released on 2011-12-19. Statistical Learning and Data Science available in PDF, EPUB and Kindle. Data analysis is changing fast. Driven by a vast range of application domains and affordable tools, machine learning has become mainstream. Unsupervised data analysis, including cluster analysis, factor analysis, and low dimensionality mapping methods continually being updated, have reached new heights of achievement in the incredibly rich data wor
