Listing 1 - 2 of 2 |
Sort by
|
Choose an application
Machine learning, at its core, is concerned with transforming data into actionable knowledge. R offers a powerful set of machine learning methods to quickly and easily gain insight from your data.Machine Learning with R, Third Edition provides a hands-on, readable guide to applying machine learning to real-world problems. Whether you are an experienced R user or new to the language, Brett Lantz teaches you everything you need to uncover key insights, make new predictions, and visualize your findings.This new 3rd edition updates the classic R data science book to R 3.6 with newer and better libraries, advice on ethical and bias issues in machine learning, and an introduction to deep learning. Find powerful new insights in your data; discover machine learning with R.
Machine learning --- R (Computer program language) --- #SBIB:303H4 --- GNU-S (Computer program language) --- Domain-specific programming languages --- Learning, Machine --- Artificial intelligence --- Machine theory --- Informatica in de sociale wetenschappen --- Data Collection --- Practice Guideline [Publication type] --- Computer Science --- QA 76.755 - Computer Software. Handbook
Choose an application
With exceptional contributions from an international array of leading experts in academia, government and industry, Biostatistics in Clinical Trials has been designed to complement existing texts by providing extensive, up-to-date coverage and introducing the reader to the research literature.Featuring articles from the prestigious Encyclopedia of Biostatistics, many of which have been fully revised and updated to reflect recent developments in the field, Biostatistics in Clinical Trials also includes up to 25% newly commissioned material reflecting the latest thinking in:* Bayesian methods* Benefit/risk assessment* Cost-effectiveness* Ethics and Fraud* Software* Cluster Randomization,* Guidelines (i.e. the International Committee on Harmonization),* Multiple Endpoints,* Sequential Analysis Offering a wealth of information, Biostatistics in Clinical Trials...Features an extensive and comprehensive range of topics that relate to the design, conduct, and analysis of clinical trials. In addition, articles have been included that discuss biostatistical aspects of clinical trials such as societies, textbooks, publication guides, historical perspectives, particular trials and collaborative trial groups.* Includes concise definitions and introductions to numerous concepts found in current literature* Discusses the software and textbooks available* Uses extensive cross-references helping to facilitate further research and enabling the reader to locate definitions and related concepts* Provides bibliographic citations to serve as signposts to assist researchers in further investigations of the topic An essential single volume reference for practitioners and researchers...Academics and practitioners from various disciplines and settings, such as universities, the pharmaceutical industry and clinical research organizations, will find this a comprehensive compendium of information on all aspects of clinical trials.
Mathematical statistics --- QV 771 Standardization and evaluation of drugs --- Clinical Trials --- Biometry --- Clinical Trials as Topic --- Epidemiologic Methods --- Clinical trials --- methods --- Statistical methods --- Machine design. --- Structural design. --- Statistical methods.
Listing 1 - 2 of 2 |
Sort by
|