126 results (0,24963 seconds)

Show all filters

Brand

Merchant

Price (EUR)

Reset filter

Products
From
Shops

How Things Work The Computer Science Edition

How Things Work The Computer Science Edition

It’s axiomatic to state that people fear what they do not understand and this is especially true when it comes to technology. However despite their prevalence computers remain shrouded in mystery and many users feel apprehensive when interacting with them. Smartphones have only exacerbated the issue. Indeed most users of these devices leverage only a small fraction of the power they hold in their hands. How Things Work: The Computer Science Edition is a roadmap for readers who want to overcome their technophobia and harness the full power of everyday technology. Beginning with the basics the book demystifies the mysterious world of computer science explains its fundamental concepts in simple terms and answers the questions many users feel too intimidated to ask. By the end of the book readers will understand how computers and smart devices function and more important how they can make these devices work for them. To complete the picture the book also introduces readers to the darker side of modern technology: security and privacy concerns identity theft and threats from the Dark Web. | How Things Work The Computer Science Edition

GBP 48.99
1

The Future of Work and Technology Global Trends Challenges and Policies with an Australian Perspective

The Future of Work and Technology Global Trends Challenges and Policies with an Australian Perspective

This book examines how global technological advances shape the way we work and allocate work today and how we might do so in the future exploring advances in robotics artificial intelligence green technology and implications for workforce skills and future welfare. It uses Australia as a case study contrasting the country’s experience to those elsewhere. The book is a cross-disciplinary collaboration that brings together the expertise of engineers data scientists economists and sociologists. The reader is offered an overview of the current uses of advanced digital technologies and what it means for today’s workforce society and economy. The book also looks to the future. Current uses of advanced technologies lag its already existing capability. The contributions note potential future applications of technology and the economic social and workplace implications of technological change. This book should be of interest to anyone studying and wishing to better understand what work might look like in the future and how we might prepare for likely changes. | The Future of Work and Technology Global Trends Challenges and Policies with an Australian Perspective

GBP 44.99
1

Common Zeros of Polynominals in Several Variables and Higher Dimensional Quadrature

Common Zeros of Polynominals in Several Variables and Higher Dimensional Quadrature

Presents a systematic study of the common zeros of polynomials in several variables which are related to higher dimensional quadrature. The author uses a new approach which is based on the recent development of orthogonal polynomials in several variables and differs significantly from the previous ones based on algebraic ideal theory. Featuring a great deal of new work new theorems and in many cases new proofs this self-contained work will be of great interest to researchers in numerical analysis the theory of orthogonal polynomials and related subjects. | Common Zeros of Polynominals in Several Variables and Higher Dimensional Quadrature

GBP 115.00
1

Hands-On Data Science for Librarians

Hands-On Data Science for Librarians

Librarians understand the need to store use and analyze data related to their collection patrons and institution and there has been consistent interest over the last 10 years to improve data management analysis and visualization skills within the profession. However librarians find it difficult to move from out-of-the-box proprietary software applications to the skills necessary to perform the range of data science actions in code. This book will focus on teaching R through relevant examples and skills that librarians need in their day-to-day lives that includes visualizations but goes much further to include web scraping working with maps creating interactive reports machine learning and others. While there’s a place for theory ethics and statistical methods librarians need a tool to help them acquire enough facility with R to utilize data science skills in their daily work no matter what type of library they work at (academic public or special). By walking through each skill and its application to library work before walking the reader through each line of code this book will support librarians who want to apply data science in their daily work. Hands-On Data Science for Librarians is intended for librarians (and other information professionals) in any library type (public academic or special) as well as graduate students in library and information science (LIS). Key Features: Only data science book available geared toward librarians that includes step-by-step code examples Examples include all library types (public academic special) Relevant datasets Accessible to non-technical professionals Focused on job skills and their applications

GBP 52.99
1

Higher Order Derivatives

Higher Order Derivatives

The concept of higher order derivatives is useful in many branches of mathematics and its applications. As they are useful in many places nth order derivatives are often defined directly. Higher Order Derivatives discusses these derivatives their uses and the relations among them. It covers higher order generalized derivatives including the Peano d. l. V. P. and Abel derivatives; along with the symmetric and unsymmetric Riemann Cesàro Borel LP- and Laplace derivatives. Although much work has been done on the Peano and de la Vallée Poussin derivatives there is a large amount of work to be done on the other higher order derivatives as their properties remain often virtually unexplored. This book introduces newcomers interested in the field of higher order derivatives to the present state of knowledge. Basic advanced real analysis is the only required background and although the special Denjoy integral has been used knowledge of the Lebesgue integral should suffice.

GBP 59.99
1

Handbook of Item Response Theory Volume 1: Models

Handbook of Item Response Theory Volume 1: Models

Drawing on the work of internationally acclaimed experts in the field Handbook of Item Response Theory Volume One: Models presents all major item response models. This first volume in a three-volume set covers many model developments that have occurred in item response theory (IRT) during the last 20 years. It describes models for different response formats or response processes the need of deeper parameterization due to a multilevel or hierarchical structure of the response data and other extensions and insights. In Volume One all chapters have a common format with each chapter focusing on one family of models or modeling approach. An introductory section in every chapter includes some history of the model and a motivation of its relevance. Subsequent sections present the model more formally treat the estimation of its parameters show how to evaluate its fit to empirical data illustrate the use of the model through an empirical example and discuss further applications and remaining research issues. | Handbook of Item Response Theory Volume 1: Models

GBP 66.99
1

Solvency Models Assessment and Regulation

Solvency Models Assessment and Regulation

Until now there were no published analyses of the recent solvency work conducted in Europe specifically the risk categories proposed by the International Actuarial Association (IAA). Answering the insurance industry's demand in the wake of the EU Solvency II project Solvency: Models Assessment and Regulation provides a concrete summary and review of solvency and inspires additional work in the field. Following an introduction to the concept the first section of the book provides a historical review of solvency detailing solvency regulation and accounting within the EU. A review of the steps leading to Solvency II looks at accounting supervision the actuarial field the first phase of Solvency II international approaches to banking and the solvency systems of 12 major nations. The second section explores the current basis for solvency modeling focusing on the valuation of assets and liabilities dependency and various conservative approaches as well as a baseline and benchmark approach. This section also provides examples of risk structure and the effects of diversification. The final section discusses groups and internal modeling as it relates to EU Solvency II. It addresses insurance groups financial conglomerates reinsurance the importance of internal modeling and stress testing and the current state of the second phase of EU Solvency II. | Solvency Models Assessment and Regulation

GBP 59.99
1

Introductory Concepts for Abstract Mathematics

Introductory Concepts for Abstract Mathematics

Beyond calculus the world of mathematics grows increasingly abstract and places new and challenging demands on those venturing into that realm. As the focus of calculus instruction has become increasingly computational it leaves many students ill prepared for more advanced work that requires the ability to understand and construct proofs. Introductory Concepts for Abstract Mathematics helps readers bridge that gap. It teaches them to work with abstract ideas and develop a facility with definitions theorems and proofs. They learn logical principles and to justify arguments not by what seems right but by strict adherence to principles of logic and proven mathematical assertions - and they learn to write clearly in the language of mathematicsThe author achieves these goals through a methodical treatment of set theory relations and functions and number systems from the natural to the real. He introduces topics not usually addressed at this level including the remarkable concepts of infinite sets and transfinite cardinal numbersIntroductory Concepts for Abstract Mathematics takes readers into the world beyond calculus and ensures their voyage to that world is successful. It imparts a feeling for the beauty of mathematics and its internal harmony and inspires an eagerness and increased enthusiasm for moving forward in the study of mathematics.

GBP 59.99
1

Reproducible Finance with R Code Flows and Shiny Apps for Portfolio Analysis

Reproducible Finance with R Code Flows and Shiny Apps for Portfolio Analysis

Reproducible Finance with R: Code Flows and Shiny Apps for Portfolio Analysis is a unique introduction to data science for investment management that explores the three major R/finance coding paradigms emphasizes data visualization and explains how to build a cohesive suite of functioning Shiny applications. The full source code asset price data and live Shiny applications are available at reproduciblefinance. com. The ideal reader works in finance or wants to work in finance and has a desire to learn R code and Shiny through simple yet practical real-world examples. The book begins with the first step in data science: importing and wrangling data which in the investment context means importing asset prices converting to returns and constructing a portfolio. The next section covers risk and tackles descriptive statistics such as standard deviation skewness kurtosis and their rolling histories. The third section focuses on portfolio theory analyzing the Sharpe Ratio CAPM and Fama French models. The book concludes with applications for finding individual asset contribution to risk and for running Monte Carlo simulations. For each of these tasks the three major coding paradigms are explored and the work is wrapped into interactive Shiny dashboards. | Reproducible Finance with R Code Flows and Shiny Apps for Portfolio Analysis

GBP 59.99
1

Abstract Algebra A First Course

Abstract Algebra A First Course

When a student of mathematics studies abstract algebra he or she inevitably faces questions in the vein of What is abstract algebra or What makes it abstract? Algebra in its broadest sense describes a way of thinking about classes of sets equipped with binary operations. In high school algebra a student explores properties of operations (+ − × and ÷) on real numbers. Abstract algebra studies properties of operations without specifying what types of number or object we work with. Any theorem established in the abstract context holds not only for real numbers but for every possible algebraic structure that has operations with the stated properties. This textbook intends to serve as a first course in abstract algebra. The selection of topics serves both of the common trends in such a course: a balanced introduction to groups rings and fields; or a course that primarily emphasizes group theory. The writing style is student-centered conscientiously motivating definitions and offering many illustrative examples. Various sections or sometimes just examples or exercises introduce applications to geometry number theory cryptography and many other areas. This book offers a unique feature in the lists of projects at the end of each section. the author does not view projects as just something extra or cute but rather an opportunity for a student to work on and demonstrate their potential for open-ended investigation. The projects ideas come in two flavors: investigative or expository. The investigative projects briefly present a topic and posed open-ended questions that invite the student to explore the topic asking and to trying to answer their own questions. Expository projects invite the student to explore a topic with algebraic content or pertain to a particular mathematician’s work through responsible research. The exercises challenge the student to prove new results using the theorems presented in the text. The student then becomes an active participant in the development of the field. | Abstract Algebra A First Course

GBP 99.99
1

Handbook of Statistical Methods and Analyses in Sports

Handbook of Statistical Methods and Analyses in Sports

This handbook will provide both overviews of statistical methods in sports and in-depth treatment of critical problems and challenges confronting statistical research in sports. The material in the handbook will be organized by major sport (baseball football hockey basketball and soccer) followed by a section on other sports and general statistical design and analysis issues that are common to all sports. This handbook has the potential to become the standard reference for obtaining the necessary background to conduct serious statistical analyses for sports applications and to appreciate scholarly work in this expanding area. | Handbook of Statistical Methods and Analyses in Sports

GBP 58.99
1

The Language of Symmetry

The Language of Symmetry

The Language of Symmetry is a re-assessment of the structure and reach of symmetry by an interdisciplinary group of specialists from the arts humanities and sciences at Oxford University. It explores amongst other topics: order and chaos in the formation of planetary systems entropy and symmetry in physics group theory fractals and self-similarity symmetrical structures in western classical music how biological systems harness disorder to create order This book aims to open up the scope of interdisciplinary work in the study of symmetry and is intended for scholars of any background - whether it be science arts or philosophy.

GBP 22.99
1

Teaching Mathematics at a Technical College

Teaching Mathematics at a Technical College

Not much has been written about technical colleges especially teaching mathematics at one. Much had been written about community college mathematics. This book addresses this disparity. Mathematics is a beautiful subject worthy to be taught at the technical college level. The author sheds light on technical colleges and their importance in the higher education system. Technical colleges area more affordable for students and provide many career opportunities. These careers are becoming or have become as lucrative as careers requiring a four-year-degree. The interest in technical college education is likely to continue to grow. Mathematics like all other classes is a subject that needs time energy and dedication to learn. For an instructor it takes many years of hard work and dedication just to be able to teach the subject. Students should not be expected to learn the mathematics overnight. As instructors we need to be open honest and put forth our very best to our students so that they can see that they are able to succeed in whatever is placed in front of them. This book hopes to encourage such an effort. A notable percentage of students who are receiving associate degrees will go through at least one of more mathematics courses. These students should not be forgotten about—their needs are similar to any student who is required to take a mathematics course to earn a degree. This book offers insight into teaching mathematics at a technical college. It is also a source for students to turn toward when they are feeling dread in taking a mathematics course. Mathematics instructors want to help students succeed. If they put forth their best effort and us ours we can all work as one team to get the student through the course and onto chasing their dreams. Though this book focuses on teaching mathematics some chapters expand to focus on teaching in general. The overall hope is the reader will be inspired by the great work that is happening at technical colleges all around the country. Technical college can be should be and is the backbone of the American working class.

GBP 22.99
1

Computational Methods for Numerical Analysis with R

Computational Methods for Numerical Analysis with R

Computational Methods for Numerical Analysis with R is an overview of traditional numerical analysis topics presented using R. This guide shows how common functions from linear algebra interpolation numerical integration optimization and differential equations can be implemented in pure R code. Every algorithm described is given with a complete function implementation in R along with examples to demonstrate the function and its use. Computational Methods for Numerical Analysis with R is intended for those who already know R but are interested in learning more about how the underlying algorithms work. As such it is suitable for statisticians economists and engineers and others with a computational and numerical background.

GBP 48.99
1

Forecasting and Analytics with the Augmented Dynamic Adaptive Model (ADAM)

Forecasting and Analytics with the Augmented Dynamic Adaptive Model (ADAM)

Forecasting and Analytics with the Augmented Dynamic Adaptive Model (ADAM) focuses on a time series model in Single Source of Error state space form called “ADAM” (Augmented Dynamic Adaptive Model). The book demonstrates a holistic view to forecasting and time series analysis using dynamic models explaining how a variety of instruments can be used to solve real life problems. At the moment there is no other tool in R or Python that would be able to model both intermittent and regular demand would support both ETS and ARIMA work with explanatory variables be able to deal with multiple seasonalities (e. g. for hourly demand data) and have a support for automatic selection of orders components and variables and provide tools for diagnostics and further improvement of the estimated model. ADAM can do all of that in one and the same framework. Given the rising interest in forecasting ADAM being able to do all those things is a useful tool for data scientists business analysts and machine learning experts who work with time series as well as any researchers working in the area of dynamic models. Key Features: • It covers basics of forecasting • It discusses ETS and ARIMA models • It has chapters on extensions of ETS and ARIMA including how to use explanatory variables and how to capture multiple frequencies • It discusses intermittent demand and scale models for ETS ARIMA and regression • It covers diagnostics tools for ADAM and how to produce forecasts with it • It does all of that with examples in R.

GBP 89.99
1

A Pen and Paper Introduction to Statistics

A Pen and Paper Introduction to Statistics

Statistics is central in the biosciences social sciences and other disciplines yet many students often struggle to learn how to perform statistical tests and to understand how and why statistical tests work. Although there are many approaches to teaching statistics a common framework exists between them: starting with probability and distributions then sampling from distribution and descriptive statistics and later introducing both simple and complex statistical tests typically ending with regression analysis (linear models). This book proposes to reverse the way statistics is taught by starting with the introduction of linear models. Today many statisticians know that the one unifying principle of statistical tests is that most of them are instances of linear models. This teaching method has two advantages: all statistical tests in a course can be presented under the same unifying framework simplifying things; second linear models can be expressed as lines over squared paper replacing any equation with a drawing. This book explains how and why statistics works without using a single equation just lines and squares over grid paper. The reader will have the opportunity to work through the examples and compute sums of squares by just drawing and counting and finally evaluating whether observed differences are statistically significant by using the tables provided. Intended for students scientists and those with little prior knowledge of statistics this book is for all with simple and clear examples computations and drawings helping the reader to not only do statistical tests but also understand statistics. | A Pen and Paper Introduction to Statistics

GBP 31.99
1

Evaluating What Works An Intuitive Guide to Intervention Research for Practitioners

Evaluating What Works An Intuitive Guide to Intervention Research for Practitioners

Those who work in allied health professions and education aim to make people’s lives better. Often however it is hard to know how effective this work has been: would change have occurred if there was no intervention? Is it possible we are doing more harm than good? To answer these questions and develop a body of knowledge about what works we need to evaluate interventions. Objective intervention research is vital to improve outcomes but this is a complex area where it is all too easy to misinterpret evidence. This book uses practical examples to increase awareness of the numerous sources of bias that can lead to mistaken conclusions when evaluating interventions. The focus is on quantitative research methods and exploration of the reasons why those both receiving and implementing intervention behave in the ways they do. Evaluating What Works: Intuitive Guide to Intervention Research for Practitioners illustrates how different research designs can overcome these issues and points the reader to sources with more in-depth information. This book is intended for those with little or no background in statistics to give them the confidence to approach statistics in published literature with a more critical eye recognise when more specialist advice is needed and give them the ability to communicate more effectively with statisticians. Key Features: Strong focus on quantitative research methods Complements more technical introductions to statistics Provides a good explanation of how quantitative studies are designed and what biases and pitfalls they can involve | Evaluating What Works An Intuitive Guide to Intervention Research for Practitioners

GBP 44.99
1

Statistics and Health Care Fraud How to Save Billions

Statistics and Health Care Fraud How to Save Billions

Statistics and Health Care Fraud: How to Save Billions helps the public to become more informed citizens through discussions of real world health care examples and fraud assessment applications. The author presents statistical and analytical methods used in health care fraud audits without requiring any mathematical background. The public suffers from health care overpayments either directly as patients or indirectly as taxpayers and fraud analytics provides ways to handle the large size and complexity of these claims. The book starts with a brief overview of global healthcare systems such as U. S. Medicare. This is followed by a discussion of medical overpayments and assessment initiatives using a variety of real world examples. The book covers subjects as: • Description and visualization of medical claims data • Prediction of fraudulent transactions • Detection of excessive billings • Revealing new fraud patterns • Challenges and opportunities with health care fraud analytics Dr. Tahir Ekin is the Brandon Dee Roberts Associate Professor of Quantitative Methods in McCoy College of Business Texas State University. His previous work experience includes a working as a statistician on health care fraud detection. His scholarly work on health care fraud has been published in a variety of academic journals including International Statistical Review The American Statistician and Applied Stochastic Models in Business and Industry. He is a recipient of the Texas State University 2018 Presidential Distinction Award in Scholar Activities and the ASA/NISS y-Bis 2016 Best Paper Awards. He has developed and taught courses in the areas of business statistics optimization data mining and analytics. Dr. Ekin also serves as Vice President of the International Society for Business and Industrial Statistics. | Statistics and Health Care Fraud How to Save Billions

GBP 24.99
1

Applications of Regression for Categorical Outcomes Using R

Applications of Regression for Categorical Outcomes Using R

This book covers the main models within the GLM (i. e. logistic Poisson negative binomial ordinal and multinomial). For each model estimations interpretations model fit diagnostics and how to convey results graphically are provided. There is a focus on graphic displays of results as these are a core strength of using R for statistical analysis. Many in the social sciences are transitioning away from using Stata SPSS and SAS to using R and this book uses statistical models which are relevant to the social sciences. Social Science Applications of Regression for Categorical Outcomes Using R will be useful for graduate students in the social sciences who are looking to expand their statistical knowledge and for Quantitative social scientists due to it’s ability to act as a practitioners guide. Key Features: Applied- in the sense that we will provide code that others can easily adapt Flexible- R is basically just a fancy calculator. Our programs will enable users to derive quantities that they can use in their work Timely- many in the social sciences are currently transitioning to R or are learning it now. Our book will be a useful resource Versatile- we will write functions into an R package that can be applied to all of the regression models we will cover in the book Aesthetically pleasing- one advantage of R relative to other software packages is that graphs are fully customizable. We will leverage this feature to yield high-end graphical displays of results Affordability- R is free. R packages are free. There is no need to purchase site licenses or updates.

GBP 59.99
1

Design and Analysis of Ecological Experiments

Design and Analysis of Ecological Experiments

The goal of this book is to make some underutilized but potentially very useful methods in experimental design and analysis available to ecologists and to encourage better use of standard statistical techniques. Ecology has become more and more an experimental science in both basic and applied work but experiments in the field and in the laboratory often present formidable statistical difficulties. Organized around providing solutions to ecological problems this book offers ways to improve the statistical aspects of conducting manipulative ecological experiments from setting them up to interpreting and reporting the results. An abundance of tools including advanced approaches are made available to ecologists in step-by-step examples with computer code provided for common statistical packages. This is an essential how-to guide for the working ecologist and for graduate students preparing for research and teaching careers in the field of ecology. | Design and Analysis of Ecological Experiments

GBP 56.99
1

Engineering Production-Grade Shiny Apps

Engineering Production-Grade Shiny Apps

From the Reviews [This book] contains an excellent blend of both Shiny-specific topics … and practical advice from software development that fits in nicely with Shiny apps. You will find many nuggets of wisdom sprinkled throughout these chapters…. Eric Nantz Host of the R-Podcast and the Shiny Developer Series (from the Foreword) [This] book is a gradual and pleasant invitation to the production-ready shiny apps world. It …exposes a comprehensive and robust workflow powered by the {golem} package. [It] fills the not yet covered gap between shiny app development and deployment in such a thrilling way that it may be read in one sitting…. In the industry world where processes robustness is a key toward productivity this book will indubitably have a tremendous impact. David Granjon Sr. Expert Data Science Novartis Presented in full color Engineering Production-Grade Shiny Apps helps people build production-grade shiny applications by providing advice tools and a methodology to work on web applications with R. This book starts with an overview of the challenges which arise from any big web application project: organizing work thinking about the user interface the challenges of teamwork and the production environment. Then it moves to a step-by-step methodology that goes from the idea to the end application. Each part of this process will cover in detail a series of tools and methods to use while building production-ready shiny applications. Finally the book will end with a series of approaches and advice about optimizations for production. Features Focused on practical matters: This book does not cover Shiny concepts but practical tools and methodologies to use for production. Based on experience: This book is a formalization of several years of experience building Shiny applications. Original content: This book presents new methodologies and tooling not just a review of what already exists. Engineering Production-Grade Shiny Apps covers medium to advanced content about Shiny so it will help people that are already familiar with building apps with Shiny and who want to go one step further.

GBP 48.99
1

Cyclic and Computer Generated Designs

Cyclic and Computer Generated Designs

Cyclic and Computer Generated Designs is a much-expanded and updated version of the well-received monograph Cyclic Designs . The book is primarily concerned with the construction and analysis of designs with a number of different blocking structures such as revolvable designs row-column designs and Latinized designs. It describes how appropriate and efficient designs can be constructed through the use of cyclic methods and recently developed computer algorithms. In this new edition a greater emphasis is given to the construction and properties of resolvable block and row-column designs. A general theory for single fractional and multiple replicate factorial designs is presented. Cyclic methods are used to construct most of these designs. Some new work on the use of computer algorithms for setting out factorial experiments in row-column designs is described. All the designs discussed can be analyzed using the generalized least squares theory given in the book. Two experiments with analyses are described in detail.

GBP 44.99
1

Handbook of Item Response Theory Three Volume Set

Handbook of Item Response Theory Three Volume Set

Drawing on the work of 75 internationally acclaimed experts in the field Handbook of Item Response Theory Three-Volume Set presents all major item response models classical and modern statistical tools used in item response theory (IRT) and major areas of applications of IRT in educational and psychological testing medical diagnosis of patient-reported outcomes and marketing research. It also covers CRAN packages WinBUGS Bilog MG Multilog Parscale IRTPRO Mplus GLLAMM Latent Gold and numerous other software tools. A full update of editor Wim J. van der Linden and Ronald K. Hambleton’s classic Handbook of Modern Item Response Theory this handbook has been expanded from 28 chapters to 85 chapters in three volumes. The three volumes are thoroughly edited and cross-referenced with uniform notation format and pedagogical principles across all chapters. Each chapter is self-contained and deals with the latest developments in IRT. | Handbook of Item Response Theory Three Volume Set

GBP 140.00
1

Equivalence and Noninferiority Tests for Quality Manufacturing and Test Engineers

Equivalence and Noninferiority Tests for Quality Manufacturing and Test Engineers

In engineering and quality control various situations including process validation and design verification require equivalence and noninferiority tests. Equivalence and Noninferiority Tests for Quality Manufacturing and Test Engineers presents methods for using validation and verification test data to demonstrate equivalence and noninferiority in engineering and applied science. The book covers numerous tests drawn from the author’s more than 30 years of work in a range of industrial settings. It provides computational formulas for the tests methods to determine or justify sample sizes and formulas to calculate power and operating characteristic curves. The methods are accessible using standard statistical software and do not require complicated programming. The book also includes computer code and screen shots for SAS R and JMP. This book provides you with a guide to performing validation and verification tests that demonstrate the adequacy of your process system or product. It will help you choose the best test for your application.

GBP 59.99
1

Tree-Based Methods for Statistical Learning in R

Tree-Based Methods for Statistical Learning in R

Tree-based Methods for Statistical Learning in R provides a thorough introduction to both individual decision tree algorithms (Part I) and ensembles thereof (Part II). Part I of the book brings several different tree algorithms into focus both conventional and contemporary. Building a strong foundation for how individual decision trees work will help readers better understand tree-based ensembles at a deeper level which lie at the cutting edge of modern statistical and machine learning methodology. The book follows up most ideas and mathematical concepts with code-based examples in the R statistical language; with an emphasis on using as few external packages as possible. For example users will be exposed to writing their own random forest and gradient tree boosting functions using simple for loops and basic tree fitting software (like rpart and party/partykit) and more. The core chapters also end with a detailed section on relevant software in both R and other opensource alternatives (e. g. Python Spark and Julia) and example usage on real data sets. While the book mostly uses R it is meant to be equally accessible and useful to non-R programmers. Consumers of this book will have gained a solid foundation (and appreciation) for tree-based methods and how they can be used to solve practical problems and challenges data scientists often face in applied work. Features: Thorough coverage from the ground up of tree-based methods (e. g. CART conditional inference trees bagging boosting and random forests). A companion website containing additional supplementary material and the code to reproduce every example and figure in the book. A companion R package called treemisc which contains several data sets and functions used throughout the book (e. g. there’s an implementation of gradient tree boosting with LAD loss that shows how to perform the line search step by updating the terminal node estimates of a fitted rpart tree). Interesting examples that are of practical use; for example how to construct partial dependence plots from a fitted model in Spark MLlib (using only Spark operations) or post-processing tree ensembles via the LASSO to reduce the number of trees while maintaining or even improving performance.

GBP 82.99
1