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Stochastic Differential Equations for Science and Engineering

Stochastic Differential Equations for Science and Engineering

Stochastic Differential Equations for Science and Engineering is aimed at students at the M. Sc. and PhD level. The book describes the mathematical construction of stochastic differential equations with a level of detail suitable to the audience while also discussing applications to estimation stability analysis and control. The book includes numerous examples and challenging exercises. Computational aspects are central to the approach taken in the book so the text is accompanied by a repository on GitHub containing a toolbox in R which implements algorithms described in the book code that regenerates all figures and solutions to exercises. Features: Contains numerous exercises examples and applications Suitable for science and engineering students at Master’s or PhD level Thorough treatment of the mathematical theory combined with an accessible treatment of motivating examples GitHub repository available at: https://github. com/Uffe-H-Thygesen/SDEbook and https://github. com/Uffe-H-Thygesen/SDEtools

GBP 89.99
1

Quantitative Finance with Python A Practical Guide to Investment Management Trading and Financial Engineering

Quantitative Finance with Python A Practical Guide to Investment Management Trading and Financial Engineering

Quantitative Finance with Python: A Practical Guide to Investment Management Trading and Financial Engineering bridges the gap between the theory of mathematical finance and the practical applications of these concepts for derivative pricing and portfolio management. The book provides students with a very hands-on rigorous introduction to foundational topics in quant finance such as options pricing portfolio optimization and machine learning. Simultaneously the reader benefits from a strong emphasis on the practical applications of these concepts for institutional investors. Features Useful as both a teaching resource and as a practical tool for professional investors. Ideal textbook for first year graduate students in quantitative finance programs such as those in master’s programs in Mathematical Finance Quant Finance or Financial Engineering. Includes a perspective on the future of quant finance techniques and in particular covers some introductory concepts of Machine Learning. Free-to-access repository with Python codes available at www. routledge. com/ 9781032014432 and on https://github. com/lingyixu/Quant-Finance-With-Python-Code. | Quantitative Finance with Python A Practical Guide to Investment Management Trading and Financial Engineering

GBP 99.99
1

Statistical Inference via Data Science: A ModernDive into R and the Tidyverse

Statistical Inference via Data Science: A ModernDive into R and the Tidyverse

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.

GBP 66.99
1

Handbook of Financial Risk Management

Handbook of Financial Risk Management

Developed over 20 years of teaching academic courses the Handbook of Financial Risk Management can be divided into two main parts: risk management in the financial sector; and a discussion of the mathematical and statistical tools used in risk management. This comprehensive text offers readers the chance to develop a sound understanding of financial products and the mathematical models that drive them exploring in detail where the risks are and how to manage them. Key Features: Written by an author with both theoretical and applied experience Ideal resource for students pursuing a master’s degree in finance who want to learn risk management Comprehensive coverage of the key topics in financial risk management Contains 114 exercises with solutions provided online at www. crcpress. com/9781138501874

GBP 240.00
1

Introduction to Mathematical Modeling and Computer Simulations

Introduction to Mathematical Modeling and Computer Simulations

Introduction to Mathematical Modeling and Computer Simulations is written as a textbook for readers who want to understand the main principles of Modeling and Simulations in settings that are important for the applications without using the profound mathematical tools required by most advanced texts. It can be particularly useful for applied mathematicians and engineers who are just beginning their careers. The goal of this book is to outline Mathematical Modeling using simple mathematical descriptions making it accessible for first- and second-year students. Chapter 1 and the Preface of this book is freely available as a downloadable Open Access PDF under a Creative Commons Attribution-Non Commercial-No Derivatives 4. 0 license available at http://www. taylorfrancis. com/books/e/9781315277240

GBP 44.99
1

Using the R Commander A Point-and-Click Interface for R

Using the R Commander A Point-and-Click Interface for R

This book provides a general introduction to the R Commander graphical user interface (GUI) to R for readers who are unfamiliar with R. It is suitable for use as a supplementary text in a basic or intermediate-level statistics course. It is not intended to replace a basic or other statistics text but rather to complement it although it does promote sound statistical practice in the examples. The book should also be useful to individual casual or occasional users of R for whom the standard command-line interface is an obstacle. tinyurl. com/RcmdrBookThe site includes data files used in the book and an errata list. http://socserv. mcmaster. ca/jfox/Books/RCommander/Writing-Rcmdr-Plugins. pdf Writing R Commander Plug-in Packages | Using the R Commander A Point-and-Click Interface for R

GBP 175.00
1

An Introduction to Numerical Methods A MATLAB Approach

An Introduction to Numerical Methods A MATLAB Approach

An Introduction to Numerical Methods: A MATLAB® Approach Fifth Edition continues to offer readers an accessible and practical introduction to numerical analysis. It presents a wide range of useful and important algorithms for scientific and engineering applications using MATLAB to illustrate each numerical method with full details of the computed results so that the main steps are easily visualized and interpreted. This edition also includes new chapters on Approximation of Continuous Functions and Dealing with Large Sets of Data. Features: Covers the most common numerical methods encountered in science and engineering Illustrates the methods using MATLAB Ideal as an undergraduate textbook for numerical analysis Presents numerous examples and exercises with selected answers provided at the back of the book Accompanied by downloadable MATLAB code hosted at https/www. routledge. com/9781032406824 | An Introduction to Numerical Methods A MATLAB® Approach

GBP 52.99
1

Hidden in White Sight How AI Empowers and Deepens Systemic Racism

Hidden in White Sight How AI Empowers and Deepens Systemic Racism

Artificial Intelligence was meant to be the great social equalizer that helps promote fairness by removing human bias from the equation but is this true? Given that the policing and judicial systems can display human bias this book explores how the technology they use can also reflect these prejudices. From healthcare services to social scoring in exams to applying for and getting loans AI outcomes often restrict those most in need of these services. Through personal stories from an esteemed Black Data Scientist and AI expert this book attempts to demystify the algorithmic black box. AI pervades all aspects of modern society and affects everyone within it yet its internal biases are rarely confronted. This book advises readers on what they can do to fight against it including the introduction of a proposed AI Bill of Rights whilst also providing specific recommendations for AI developers and technologists. https://hiddeninwhitesight. com/ | Hidden in White Sight How AI Empowers and Deepens Systemic Racism

GBP 22.99
1

Text Analytics An Introduction to the Science and Applications of Unstructured Information Analysis

Text Analytics An Introduction to the Science and Applications of Unstructured Information Analysis

Text Analytics: An Introduction to the Science and Applications of Unstructured Information Analysis is a concise and accessible introduction to the science and applications of text analytics (or text mining) which enables automatic knowledge discovery from unstructured information sources for both industrial and academic purposes. The book introduces the main concepts models and computational techniques that enable the reader to solve real decision-making problems arising from textual and/or documentary sources. Features: Easy-to-follow step-by-step concepts and methods Every chapter is introduced in a very gentle and intuitive way so students can understand the WHYs WHAT-IFs WHAT-IS-THIS-FORs HOWs etc. by themselves Practical programming exercises in Python for each chapter Includes theory and practice for every chapter summaries practical coding exercises for target problems QA and sample code and data available for download at https://www. routledge. com/Atkinson-Abutridy/p/book/9781032249797 | Text Analytics An Introduction to the Science and Applications of Unstructured Information Analysis

GBP 44.99
1

Applied Stochastic Modelling

Applied Stochastic Modelling

Highlighting modern computational methods Applied Stochastic Modelling Second Edition provides students with the practical experience of scientific computing in applied statistics through a range of interesting real-world applications. It also successfully revises standard probability and statistical theory. Along with an updated bibliography and improved figures this edition offers numerous updates throughout. New to the Second Edition An extended discussion on Bayesian methods A large number of new exercises A new appendix on computational methods The book covers both contemporary and classical aspects of statistics including survival analysis Kernel density estimation Markov chain Monte Carlo hypothesis testing regression bootstrap and generalised linear models. Although the book can be used without reference to computational programs the author provides the option of using powerful computational tools for stochastic modelling. All of the data sets and MATLAB and R programs found in the text as well as lecture slides and other ancillary material are available for download at www. crcpress. com Continuing in the bestselling tradition of its predecessor this textbook remains an excellent resource for teaching students how to fit stochastic models to data.

GBP 175.00
1

Machine Learning Animated

Machine Learning Animated

The release of ChatGPT has kicked off an arms race in Machine Learning (ML) however ML has also been described as a black box and very hard to understand. Machine Learning Animated eases you into basic ML concepts and summarizes the learning process in three words: initialize adjust and repeat. This is illustrated step by step with animation to show how machines learn: from initial parameter values to adjusting each step to the final converged parameters and predictions. This book teaches readers to create their own neural networks with dense and convolutional layers and use them to make binary and multi-category classifications. Readers will learn how to build deep learning game strategies and combine this with reinforcement learning witnessing AI achieve super-human performance in Atari games such as Breakout Space Invaders Seaquest and Beam Rider. Written in a clear and concise style illustrated with animations and images this book is particularly appealing to readers with no background in computer science mathematics or statistics. Access the book's repository at: https://github. com/markhliu/MLA

GBP 74.99
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The Global Politics of Artificial Intelligence

The Global Politics of Artificial Intelligence

Technologies such as artificial intelligence have led to significant advances in science and medicine but have also facilitated new forms of repression policing and surveillance. AI policy has become without doubt a significant issue of global politics. The Global Politics of Artificial Intelligence tackles some of the issues linked to AI development and use contributing to a better understanding of the global politics of AI. This is an area where enormous work still needs to be done and the contributors to this volume provide significant input into this field of study to policy makers academics and society at large. Each of the chapters in this volume works as freestanding contribution and provides an accessible account of a particular issue linked to AI from a political perspective. Contributors to the volume come from many different areas of expertise and of the world and range from emergent to established authors. Chapter 2 of this book is freely available as a downloadable Open Access PDF at http://www. taylorfrancis. com under a Creative Commons Attribution-Non Commercial-No Derivatives (CC-BY-NC-ND) 4. 0 license.

GBP 48.99
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Multiple Imputation of Missing Data in Practice Basic Theory and Analysis Strategies

Multiple Imputation of Missing Data in Practice Basic Theory and Analysis Strategies

Multiple Imputation of Missing Data in Practice: Basic Theory and Analysis Strategies provides a comprehensive introduction to the multiple imputation approach to missing data problems that are often encountered in data analysis. Over the past 40 years or so multiple imputation has gone through rapid development in both theories and applications. It is nowadays the most versatile popular and effective missing-data strategy that is used by researchers and practitioners across different fields. There is a strong need to better understand and learn about multiple imputation in the research and practical community. Accessible to a broad audience this book explains statistical concepts of missing data problems and the associated terminology. It focuses on how to address missing data problems using multiple imputation. It describes the basic theory behind multiple imputation and many commonly-used models and methods. These ideas are illustrated by examples from a wide variety of missing data problems. Real data from studies with different designs and features (e. g. cross-sectional data longitudinal data complex surveys survival data studies subject to measurement error etc. ) are used to demonstrate the methods. In order for readers not only to know how to use the methods but understand why multiple imputation works and how to choose appropriate methods simulation studies are used to assess the performance of the multiple imputation methods. Example datasets and sample programming code are either included in the book or available at a github site (https://github. com/he-zhang-hsu/multiple_imputation_book). Key Features Provides an overview of statistical concepts that are useful for better understanding missing data problems and multiple imputation analysis Provides a detailed discussion on multiple imputation models and methods targeted to different types of missing data problems (e. g. univariate and multivariate missing data problems missing data in survival analysis longitudinal data complex surveys etc. ) Explores measurement error problems with multiple imputation Discusses analysis strategies for multiple imputation diagnostics Discusses data production issues when the goal of multiple imputation is to release datasets for public use as done by organizations that process and manage large-scale surveys with nonresponse problems For some examples illustrative datasets and sample programming code from popular statistical packages (e. g. SAS R WinBUGS) are included in the book. For others they are available at a github site (https://github. com/he-zhang-hsu/multiple_imputation_book) | Multiple Imputation of Missing Data in Practice Basic Theory and Analysis Strategies

GBP 82.99
1

SAS Programming The One-Day Course

SAS Programming The One-Day Course

Aimed at researchers and students SAS Programming: The One-Day Course provides an introduction to the SAS programming language. It gives the reader a start in SAS programming and the basic data manipulations and statistical summaries that are available through SAS. The book has its origins in material prepared by the author for a one-day course in SAS programming and the fact that it has been developed from a training course is reflected in the concise nature of the presentation. Unlike other introductory competitors on the market this is a pocket-sized reference that does not clutter the programming techniques presented by trying to teach statistical techniques at the same time. Strong on explanations of how to carry out data manipulations that real-life data often call for each programming technique is supported by tasks to develop skills and confidence. It also contains tasks for the reader complete with solutions. Datasets and the programming code are available to download from www. crcpress. com/e_products/downloads. Once readers have mastered the topics covered in the book they will be well placed to learn further aspects of SAS programming. | SAS Programming The One-Day Course

GBP 175.00
1

Temporal Data Mining

Temporal Data Mining

Temporal data mining deals with the harvesting of useful information from temporal data. New initiatives in health care and business organizations have increased the importance of temporal information in data today. From basic data mining concepts to state-of-the-art advances Temporal Data Mining covers the theory of this subject as well as its application in a variety of fields. It discusses the incorporation of temporality in databases as well as temporal data representation similarity computation data classification clustering pattern discovery and prediction. The book also explores the use of temporal data mining in medicine and biomedical informatics business and industrial applications web usage mining and spatiotemporal data mining. Along with various state-of-the-art algorithms each chapter includes detailed references and short descriptions of relevant algorithms and techniques described in other references. In the appendices the author explains how data mining fits the overall goal of an organization and how these data can be interpreted for the purpose of characterizing a population. She also provides programs written in the Java language that implement some of the algorithms presented in the first chapter. Check out the author's blog at http://theophanomitsa. wordpress. com/

GBP 59.99
1

3D Animation for the Raw Beginner Using Autodesk Maya 2e

3D Animation for the Raw Beginner Using Autodesk Maya 2e

3D Animation for the Raw Beginner Using Autodesk Maya is a hands-on academic textbook as well as a do-it-yourself training manual for the individual animator. This second edition has been completely rewritten to take into account updates to Autodesk Maya including Autodesk’s renderer Arnold. It contains entirely new examples and tutorial lessons. All 612 images are in full color. The book directs the reader to the parts of Maya that must be mastered in order to create complete 3D projects and thus it simplifies the process of taking on Maya’s vast and intricate interface while giving the reader a firm foundation on which to build future knowledge of Maya. It also presents brief examples of other popular 3D applications and rendering engines. This principles-based yet pragmatic book: Introduces the basic steps of the 3D modeling materials animation lighting and rendering processes. Presents clear and concise tutorials that link key concepts to practical techniques. Includes access to a webpage for the book: https://buzzking. com/AnimationTextbook/AnimationTextbook. html. On this webpage are videos that cover many of the lessons in the book as well as video tutorials that present bonus material not included in the book. Frees instructors from the painstaking task of developing step-by-step examples to present Maya’s complex interface and basic capabilities. Boasts an easy-to-follow tutorial-based learning style ideal for individual study by aspiring animators and do-it yourselfers. Roger Buzz King is a Professor Emeritus at the University of Colorado at Boulder where he teaches 3D Animation for the Computer Science Department and the Alliance for Technology Learning and Society (ATLAS) an institute dedicated to the application of technology to the arts. Buzz is an independent 3D animator who serves on the board of directors of a 3D animation startup. Buzz has a B. A. in Mathematics from Occidental College an M. S. and Ph. D. in Computer Science from the University of Southern California and an M. Div. from the Iliff School of Theology. Key Features Introduces critical aspects of the 3D animation process Presents clear and concise tutorials that link key concepts to practical techniques Includes access to a dedicated Web site http://3dbybuzz. com featuring useful videos lessons and updates Frees instructors from developing step-by-step examples to present Maya’s complex interface and basic Boasts an easy-to-follow hands-on learning style ideal for individual study by aspiring animators and do-ityourselfers | 3D Animation for the Raw Beginner Using Autodesk Maya 2e

GBP 48.99
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

Algebra & Geometry An Introduction to University Mathematics

Algebra & Geometry An Introduction to University Mathematics

Algebra & Geometry: An Introduction to University Mathematics Second Edition provides a bridge between high school and undergraduate mathematics courses on algebra and geometry. The author shows students how mathematics is more than a collection of methods by presenting important ideas and their historical origins throughout the text. He incorporates a hands-on approach to proofs and connects algebra and geometry to various applications. The text focuses on linear equations polynomial equations and quadratic forms. The first few chapters cover foundational topics including the importance of proofs and a discussion of the properties commonly encountered when studying algebra. The remaining chapters form the mathematical core of the book. These chapters explain the solutions of different kinds of algebraic equations the nature of the solutions and the interplay between geometry and algebra. New to the second edition Several updated chapters plus an all-new chapter discussing the construction of the real numbers by means of approximations by rational numbers Includes fifteen short ‘essays’ that are accessible to undergraduate readers but which direct interested students to more advanced developments of the material Expanded references Contains chapter exercises with solutions provided online at www. routledge. com/9780367563035 | Algebra & Geometry An Introduction to University Mathematics

GBP 52.99
1

Stochastic Processes An Introduction Third Edition

Stochastic Processes An Introduction Third Edition

Based on a well-established and popular course taught by the authors over many years Stochastic Processes: An Introduction Third Edition discusses the modelling and analysis of random experiments where processes evolve over time. The text begins with a review of relevant fundamental probability. It then covers gambling problems random walks and Markov chains. The authors go on to discuss random processes continuous in time including Poisson birth and death processes and general population models and present an extended discussion on the analysis of associated stationary processes in queues. The book also explores reliability and other random processes such as branching martingales and simple epidemics. A new chapter describing Brownian motion where the outcomes are continuously observed over continuous time is included. Further applications worked examples and problems and biographical details have been added to this edition. Much of the text has been reworked. The appendix contains key results in probability for reference. This concise updated book makes the material accessible highlighting simple applications and examples. A solutions manual with fully worked answers of all end-of-chapter problems and Mathematica® and R programs illustrating many processes discussed in the book can be downloaded from crcpress. com. | Stochastic Processes An Introduction Third Edition

GBP 46.99
1

Meaningful Futures with Robots Designing a New Coexistence

Meaningful Futures with Robots Designing a New Coexistence

Soon robots will leave the factories and make their way into living rooms supermarkets and care facilities. They will cooperate with humans in everyday life taking on more than just practical tasks. How should they communicate with us? Do they need eyes a screen or arms? Should they resemble humans? Or may they enrich social situations precisely because they act so differently from humans? Meaningful Futures with Robots: Designing a New Coexistence provides insight into the opportunities and risks that arise from living with robots in the future anchored in current research projects on everyday robotics. As well as generating ideas for robot developers and designers it also critically discusses existing theories and methods for social robotics from different perspectives - ethical design artistical and technological – and presents new approaches to meaningful human-robot interaction design. Key Features: Provides insights into current research on robots from different disciplinary angles with a particular focus on a value-driven design. Includes contributions from designers psychologists engineers philosophers artists and legal scholars among others. Licence line: Chapters 1 3 12 and 15 of this book are available for free in PDF format as Open Access from the individual product page at www. crcpress. com. They have been made available under a Creative Commons Attribution-Non Commercial-No Derivatives 4. 0 license. | Meaningful Futures with Robots Designing a New Coexistence

GBP 44.99
1

Bioinformatics A Practical Guide to NCBI Databases and Sequence Alignments

Bioinformatics A Practical Guide to NCBI Databases and Sequence Alignments

Bioinformatics: A Practical Guide to NCBI Databases and Sequence Alignments provides the basics of bioinformatics and in-depth coverage of NCBI databases sequence alignment and NCBI Sequence Local Alignment Search Tool (BLAST). As bioinformatics has become essential for life sciences the book has been written specifically to address the need of a large audience including undergraduates graduates researchers healthcare professionals and bioinformatics professors who need to use the NCBI databases retrieve data from them and use BLAST to find evolutionarily related sequences sequence annotation construction of phylogenetic tree and the conservative domain of a protein to name just a few. Technical details of alignment algorithms are explained with a minimum use of mathematical formulas and with graphical illustrations. Key Features Provides readers with the most-used bioinformatics knowledge of bioinformatics databases and alignments including both theory and application via illustrations and worked examples. Discusses the use of Windows Command Prompt Linux shell R and Python for both Entrez databases and BLAST. The companion website (http://www. hamiddi. com/instructors/) contains tutorials R and Python codes instructor materials including slides exercises and problems for students. This is the ideal textbook for bioinformatics courses taken by students of life sciences and for researchers wishing to develop their knowledge of bioinformatics to facilitate their own research. | Bioinformatics A Practical Guide to NCBI Databases and Sequence Alignments

GBP 82.99
1

High Performance Computing Programming and Applications

High Performance Computing Programming and Applications

High Performance Computing: Programming and Applications presents techniques that address new performance issues in the programming of high performance computing (HPC) applications. Omitting tedious details the book discusses hardware architecture concepts and programming techniques that are the most pertinent to application developers for achieving high performance. Even though the text concentrates on C and Fortran the techniques described can be applied to other languages such as C++ and Java. Drawing on their experience with chips from AMD and systems interconnects and software from Cray Inc. the authors explore the problems that create bottlenecks in attaining good performance. They cover techniques that pertain to each of the three levels of parallelism: Message passing between the nodes Shared memory parallelism on the nodes or the multiple instruction multiple data (MIMD) units on the accelerator Vectorization on the inner level After discussing architectural and software challenges the book outlines a strategy for porting and optimizing an existing application to a large massively parallel processor (MPP) system. With a look toward the future it also introduces the use of general purpose graphics processing units (GPGPUs) for carrying out HPC computations. A companion website at www. hybridmulticoreoptimization. com contains all the examples from the book along with updated timing results on the latest released processors. | High Performance Computing Programming and Applications

GBP 59.99
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Python for Scientific Computing and Artificial Intelligence

Python for Scientific Computing and Artificial Intelligence

Python for Scientific Computing and Artificial Intelligence is split into 3 parts: in Section 1 the reader is introduced to the Python programming language and shown how Python can aid in the understanding of advanced High School Mathematics. In Section 2 the reader is shown how Python can be used to solve real-world problems from a broad range of scientific disciplines. Finally in Section 3 the reader is introduced to neural networks and shown how TensorFlow (written in Python) can be used to solve a large array of problems in Artificial Intelligence (AI). This book was developed from a series of national and international workshops that the author has been delivering for over twenty years. The book is beginner friendly and has a strong practical emphasis on programming and computational modelling. Features: No prior experience of programming is required Online GitHub repository available with codes for readers to practice Covers applications and examples from biology chemistry computer science data science electrical and mechanical engineering economics mathematics physics statistics and binary oscillator computing Full solutions to exercises are available as Jupyter notebooks on the Web Support Material GitHub Repository of Python Files and Notebooks: https://github. com/proflynch/CRC-Press/ Solutions to All Exercises: Section 1: An Introduction to Python: https://drstephenlynch. github. io/webpages/Solutions_Section_1. html Section 2: Python for Scientific Computing: https://drstephenlynch. github. io/webpages/Solutions_Section_2. html Section 3: Artificial Intelligence: https://drstephenlynch. github. io/webpages/Solutions_Section_3. html

GBP 52.99
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Dynamic Treatment Regimes Statistical Methods for Precision Medicine

Dynamic Treatment Regimes Statistical Methods for Precision Medicine

Dynamic Treatment Regimes: Statistical Methods for Precision Medicine provides a comprehensive introduction to statistical methodology for the evaluation and discovery of dynamic treatment regimes from data. Researchers and graduate students in statistics data science and related quantitative disciplines with a background in probability and statistical inference and popular statistical modeling techniques will be prepared for further study of this rapidly evolving field. A dynamic treatment regime is a set of sequential decision rules each corresponding to a key decision point in a disease or disorder process where each rule takes as input patient information and returns the treatment option he or she should receive. Thus a treatment regime formalizes how a clinician synthesizes patient information and selects treatments in practice. Treatment regimes are of obvious relevance to precision medicine which involves tailoring treatment selection to patient characteristics in an evidence-based way. Of critical importance to precision medicine is estimation of an optimal treatment regime one that if used to select treatments for the patient population would lead to the most beneficial outcome on average. Key methods for estimation of an optimal treatment regime from data are motivated and described in detail. A dedicated companion website presents full accounts of application of the methods using a comprehensive R package developed by the authors. The authors’ website www. dtr-book. com includes updates corrections new papers and links to useful websites. | Dynamic Treatment Regimes Statistical Methods for Precision Medicine

GBP 44.99
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A Systematic Approach to Learning Robot Programming with ROS

A Systematic Approach to Learning Robot Programming with ROS

A Systematic Approach to Learning Robot Programming with ROS provides a comprehensive introduction to the essential components of ROS through detailed explanations of simple code examples along with the corresponding theory of operation. The book explores the organization of ROS how to understand ROS packages how to use ROS tools how to incorporate existing ROS packages into new applications and how to develop new packages for robotics and automation. It also facilitates continuing education by preparing the reader to better understand the existing on-line documentation. The book is organized into six parts. It begins with an introduction to ROS foundations including writing ROS nodes and ROS tools. Messages Classes and Servers are also covered. The second part of the book features simulation and visualization with ROS including coordinate transforms. The next part of the book discusses perceptual processing in ROS. It includes coverage of using cameras in ROS depth imaging and point clouds and point cloud processing. Mobile robot control and navigation in ROS is featured in the fourth part of the book The fifth section of the book contains coverage of robot arms in ROS. This section explores robot arm kinematics arm motion planning arm control with the Baxter Simulator and an object-grabber package. The last part of the book focuses on system integration and higher-level control including perception-based and mobile manipulation. This accessible text includes examples throughout and C++ code examples are also provided at https://github. com/wsnewman/learning_ros

GBP 62.99
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