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.
Forecasting: principles and practice
Forecasting: principles and practice - 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 Forecasting: principles and practice write by Rob J Hyndman. This book was released on 2018-05-08. Forecasting: principles and practice available in PDF, EPUB and Kindle. Forecasting is required in many situations. Stocking an inventory may require forecasts of demand months in advance. Telecommunication routing requires traffic forecasts a few minutes ahead. Whatever the circumstances or time horizons involved, forecasting is an important aid in effective and efficient planning. This textbook provides a comprehensive introduction to forecasting methods and presents enough information about each method for readers to use them sensibly.
The Residual Analysis
The Residual 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 The Residual Analysis write by John Landen. This book was released on 1764. The Residual Analysis available in PDF, EPUB and Kindle.
The Residual Analysis
The Residual 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 The Residual Analysis write by Landen. This book was released on 1764. The Residual Analysis available in PDF, EPUB and Kindle.
Statistical Inference via Data Science: A ModernDive into R and the Tidyverse
Statistical Inference via Data Science: A ModernDive into R and the Tidyverse - 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 Inference via Data Science: A ModernDive into R and the Tidyverse write by Chester Ismay. This book was released on 2019-12-23. Statistical Inference via Data Science: A ModernDive into R and the Tidyverse available in PDF, EPUB and Kindle. Statistical Inference via Data Science: A ModernDive into R and the Tidyverse provides a pathway for learning about statistical inference using data science tools widely used in industry, academia, and government. It introduces the tidyverse suite of R packages, including the ggplot2 package for data visualization, and the dplyr package for data wrangling. After equipping readers with just enough of these data science tools to perform effective exploratory data analyses, the book covers traditional introductory statistics topics like confidence intervals, hypothesis testing, and multiple regression modeling, while focusing on visualization throughout. Features: ● Assumes minimal prerequisites, notably, no prior calculus nor coding experience ● Motivates theory using real-world data, including all domestic flights leaving New York City in 2013, the Gapminder project, and the data journalism website, FiveThirtyEight.com ● Centers on simulation-based approaches to statistical inference rather than mathematical formulas ● Uses the infer package for "tidy" and transparent statistical inference to construct confidence intervals and conduct hypothesis tests via the bootstrap and permutation methods ● Provides all code and output embedded directly in the text; also available in the online version at moderndive.com This book is intended for individuals who would like to simultaneously start developing their data science toolbox and start learning about the inferential and modeling tools used in much of modern-day research. The book can be used in methods and data science courses and first courses in statistics, at both the undergraduate and graduate levels.
