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Matrix Theory From Generalized Inverses to Jordan Form

Matrix Theory From Generalized Inverses to Jordan Form

In 1990 the National Science Foundation recommended that every college mathematics curriculum should include a second course in linear algebra. In answer to this recommendation Matrix Theory: From Generalized Inverses to Jordan Form provides the material for a second semester of linear algebra that probes introductory linear algebra concepts while also exploring topics not typically covered in a sophomore-level class. Tailoring the material to advanced undergraduate and beginning graduate students the authors offer instructors flexibility in choosing topics from the book. The text first focuses on the central problem of linear algebra: solving systems of linear equations. It then discusses LU factorization derives Sylvester's rank formula introduces full-rank factorization and describes generalized inverses. After discussions on norms QR factorization and orthogonality the authors prove the important spectral theorem. They also highlight the primary decomposition theorem Schur's triangularization theorem singular value decomposition and the Jordan canonical form theorem. The book concludes with a chapter on multilinear algebra. With this classroom-tested text students can delve into elementary linear algebra ideas at a deeper level and prepare for further study in matrix theory and abstract algebra. | Matrix Theory From Generalized Inverses to Jordan Form

GBP 59.99
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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
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Discovering Evolution Equations with Applications Volume 1-Deterministic Equations

Discovering Evolution Equations with Applications Volume 1-Deterministic Equations

Discovering Evolution Equations with Applications: Volume 1-Deterministic Equations provides an engaging accessible account of core theoretical results of evolution equations in a way that gradually builds intuition and culminates in exploring active research. It gives nonspecialists even those with minimal prior exposure to analysis the foundation to understand what evolution equations are and how to work with them in various areas of practice. After presenting the essentials of analysis the book discusses homogenous finite-dimensional ordinary differential equations. Subsequent chapters then focus on linear homogenous abstract nonhomogenous linear semi-linear functional Sobolev-type neutral delay and nonlinear evolution equations. The final two chapters explore research topics including nonlocal evolution equations. For each class of equations the author develops a core of theoretical results concerning the existence and uniqueness of solutions under various growth and compactness assumptions continuous dependence upon initial data and parameters convergence results regarding the initial data and elementary stability results. By taking an applications-oriented approach this self-contained conversational-style book motivates readers to fully grasp the mathematical details of studying evolution equations. It prepares newcomers to successfully navigate further research in the field. | Discovering Evolution Equations with Applications Volume 1-Deterministic Equations

GBP 74.99
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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
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An Illustrated Introduction to Topology and Homotopy Solutions Manual for Part 1 Topology

An Illustrated Introduction to Topology and Homotopy Solutions Manual for Part 1 Topology

This solution manual accompanies the first part of the book An Illustrated Introduction toTopology and Homotopy by the same author. Except for a small number of exercises inthe first few sections we provide solutions of the (228) odd-numbered problemsappearing in first part of the book (Topology). The primary targets of this manual are thestudents of topology. This set is not disjoint from the set of instructors of topologycourses who may also find this manual useful as a source of examples exam problems etc. | An Illustrated Introduction to Topology and Homotopy Solutions Manual for Part 1 Topology

GBP 36.99
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Handbook of Approximation Algorithms and Metaheuristics Methologies and Traditional Applications Volume 1

Handbook of Approximation Algorithms and Metaheuristics Methologies and Traditional Applications Volume 1

Handbook of Approximation Algorithms and Metaheuristics Second Edition reflects the tremendous growth in the field over the past two decades. Through contributions from leading experts this handbook provides a comprehensive introduction to the underlying theory and methodologies as well as the various applications of approximation algorithms and metaheuristics. Volume 1 of this two-volume set deals primarily with methodologies and traditional applications. It includes restriction relaxation local ratio approximation schemes randomization tabu search evolutionary computation local search neural networks and other metaheuristics. It also explores multi-objective optimization reoptimization sensitivity analysis and stability. Traditional applications covered include: bin packing multi-dimensional packing Steiner trees traveling salesperson scheduling and related problems. Volume 2 focuses on the contemporary and emerging applications of methodologies to problems in combinatorial optimization computational geometry and graphs problems as well as in large-scale and emerging application areas. It includes approximation algorithms and heuristics for clustering networks (sensor and wireless) communication bioinformatics search streams virtual communities and more. About the EditorTeofilo F. Gonzalez is a professor emeritus of computer science at the University of California Santa Barbara. He completed his Ph. D. in 1975 from the University of Minnesota. He taught at the University of Oklahoma the Pennsylvania State University and the University of Texas at Dallas before joining the UCSB computer science faculty in 1984. He spent sabbatical leaves at the Monterrey Institute of Technology and Higher Education and Utrecht University. He is known for his highly cited pioneering research in the hardness of approximation; for his sublinear and best possible approximation algorithm for k-tMM clustering; for introducing the open-shop scheduling problem as well as algorithms for its solution that have found applications in numerous research areas; as well as for his research on problems in the areas of job scheduling graph algorithms computational geometry message communication wire routing etc. | Handbook of Approximation Algorithms and Metaheuristics Methologies and Traditional Applications Volume 1

GBP 44.99
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Canonical Problems in Scattering and Potential Theory Part 1 Canonical Structures in Potential Theory

Canonical Problems in Scattering and Potential Theory Part 1 Canonical Structures in Potential Theory

Although the analysis of scattering for closed bodies of simple geometric shape is well developed structures with edges cavities or inclusions have seemed until now intractable to analytical methods. This two-volume set describes a breakthrough in analytical techniques for accurately determining diffraction from classes of canonical scatterers with comprising edges and other complex cavity features. It is an authoritative account of mathematical developments over the last two decades that provides benchmarks against which solutions obtained by numerical methods can be verified. The first volume Canonical Structures in Potential Theory develops the mathematics solving mixed boundary potential problems for structures with cavities and edges. The second volume Acoustic and Electromagnetic Diffraction by Canonical Structures examines the diffraction of acoustic and electromagnetic waves from several classes of open structures with edges or cavities. Together these volumes present an authoritative and unified treatment of potential theory and diffraction-the first complete description quantifying the scattering mechanisms in complex structures. | Canonical Problems in Scattering and Potential Theory Part 1 Canonical Structures in Potential Theory

GBP 56.99
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Security for Software Engineers

Security for Software Engineers

Security for Software Engineers is designed to introduce security concepts to undergraduate software engineering students. The book is divided into four units each targeting activities that a software engineer will likely be involved in within industry. The book explores the key areas of attack vectors code hardening privacy and social engineering. Each topic is explored from a theoretical and a practical-application standpoint. Features:Targets software engineering students - one of the only security texts to target this audience. Focuses on the white-hat side of the security equation rather than the black-hat side. Includes many practical and real-world examples that easily translate into the workplace. Covers a one-semester undergraduate course. Describes all aspects of computer security as it pertains to the job of a software engineer and presents problems similar to that which an engineer will encounter in the industry. This text will equip students to make knowledgeable security decisions be productive members of a security review team and write code that protects a user’s information assets.

GBP 39.99
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Component-Based Software Engineering Methods and Metrics

Component-Based Software Engineering Methods and Metrics

This book focuses on a specialized branch of the vast domain of software engineering: component-based software engineering (CBSE). Component-Based Software Engineering: Methods and Metrics enhances the basic understanding of components by defining categories characteristics repository interaction complexity and composition. It divides the research domain of CBSE into three major sub-domains: (1) reusability issues (2) interaction and integration issues and (3) testing and reliability issues. This book covers the state-of-the-art literature survey of at least 20 years in the domain of reusability interaction and integration complexities and testing and reliability issues of component-based software engineering. The aim of this book is not only to review and analyze the previous works conducted by eminent researchers academicians and organizations in the context of CBSE but also suggests innovative efficient and better solutions. A rigorous and critical survey of traditional and advanced paradigms of software engineering is provided in the book. Features: In-interactions and Out-Interactions both are covered to assess the complexity. In the context of CBSE both white-box and black-box testing methods and their metrics are described. This work covers reliability estimation using reusability which is an innovative method. Case studies and real-life software examples are used to explore the problems and their solutions. Students research scholars software developers and software designers or individuals interested in software engineering especially in component-based software engineering can refer to this book to understand the concepts from scratch. These measures and metrics can be used to estimate the software before the actual coding commences. | Component-Based Software Engineering Methods and Metrics

GBP 105.00
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Performance Analysis of Queuing and Computer Networks

Performance Analysis of Queuing and Computer Networks

Performance Analysis of Queuing and Computer Networks develops simple models and analytical methods from first principles to evaluate performance metrics of various configurations of computer systems and networks. It presents many concepts and results of probability theory and stochastic processes. After an introduction to queues in computer networks this self-contained book covers important random variables such as Pareto and Poisson that constitute models for arrival and service disciplines. It then deals with the equilibrium M/M/1/∞queue which is the simplest queue that is amenable for analysis. Subsequent chapters explore applications of continuous time state-dependent single Markovian queues the M/G/1 system and discrete time queues in computer networks. The author then proceeds to study networks of queues with exponential servers and Poisson external arrivals as well as the G/M/1 queue and Pareto interarrival times in a G/M/1 queue. The last two chapters analyze bursty self-similar traffic and fluid flow models and their effects on queues.

GBP 59.99
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Sequence Space Theory with Applications

Sequence Space Theory with Applications

The book features original chapters on sequence spaces involving the idea of ideal convergence modulus function multiplier sequences Riesz mean Fibonacci difference matrix etc. and illustrate their involvement in various applications. The preliminaries have been presented in the beginning of each chapter and then the advanced discussion takes place so it is useful for both expert and nonexpert on aforesaid topics. The book consists of original thirteen research chapters contributed by the well-recognized researchers in the field of sequence spaces with associated applications. Features Discusses the Fibonacci and vector valued difference sequence spaces Presents the solution of Volterra integral equation in Banach algebra Discusses some sequence spaces involving invariant mean and related to the domain of Jordan totient matrix Presents the Tauberian theorems of double sequences Discusses the paranormed Riesz difference sequence space of fractional order Includes a technique for studying the existence of solutions of infinite system of functional integro-differential equations in Banach sequence spaces The subject of book is an active area of research of present time internationally and would serve as a good source for researcher and educators involved with the topic of sequence spaces. | Sequence Space Theory with Applications

GBP 150.00
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Principles of Uncertainty

Principles of Uncertainty

Praise for the first edition: Principles of Uncertainty is a profound and mesmerising book on the foundations and principles of subjectivist or behaviouristic Bayesian analysis. … the book is a pleasure to read. And highly recommended for teaching as it can be used at many different levels. … A must-read for sure!—Christian Robert CHANCE It's a lovely book one that I hope will be widely adopted as a course textbook. —Michael Jordan University of California Berkeley USA Like the prize-winning first edition Principles of Uncertainty Second Edition is an accessible comprehensive text on the theory of Bayesian Statistics written in an appealing inviting style and packed with interesting examples. It presents an introduction to the subjective Bayesian approach which has played a pivotal role in game theory economics and the recent boom in Markov Chain Monte Carlo methods. This new edition has been updated throughout and features new material on Nonparametric Bayesian Methods the Dirichlet distribution a simple proof of the central limit theorem and new problems. Key Features: First edition won the 2011 DeGroot Prize Well-written introduction to theory of Bayesian statistics Each of the introductory chapters begins by introducing one new concept or assumption Uses just-in-time mathematics—the introduction to mathematical ideas just before they are applied

GBP 99.99
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Statistical Thinking in Clinical Trials

Statistical Thinking in Clinical Trials

Statistical Thinking in Clinical Trials combines a relatively small number of key statistical principles and several instructive clinical trials to gently guide the reader through the statistical thinking needed in clinical trials. Randomization is the cornerstone of clinical trials and randomization-based inference is the cornerstone of this book. Read this book to learn the elegance and simplicity of re-randomization tests as the basis for statistical inference (the analyze as you randomize principle) and see how re-randomization tests can save a trial that required an unplanned mid-course design change. Other principles enable the reader to quickly and confidently check calculations without relying on computer programs. The `EZ’ principle says that a single sample size formula can be applied to a multitude of statistical tests. The `O minus E except after V’ principle provides a simple estimator of the log odds ratio that is ideally suited for stratified analysis with a binary outcome. The same principle can be used to estimate the log hazard ratio and facilitate stratified analysis in a survival setting. Learn these and other simple techniques that will make you an invaluable clinical trial statistician.

GBP 82.99
1

Operating System Design The Xinu Approach Second Edition

Operating System Design The Xinu Approach Second Edition

An Update of the Most Practical A-to-Z Operating System BookWidely lauded for avoiding the typical black box approach found in other operating system textbooks the first edition of this bestselling book taught readers how an operating system works and explained how to build it from the ground up. Continuing to follow a logical pattern for system design Operating System Design: The Xinu Approach Second Edition removes the mystery from operating system design and consolidates the body of material into a systematic discipline. It presents a hierarchical design paradigm that organizes major operating system components in an orderly understandable manner. The book guides readers through the construction of a conventional process-based operating system using practical straightforward primitives. It gives the implementation details of one set of primitives usually the most popular set. Once readers understand how primitives can be implemented on conventional hardware they can then easily implement alternative versions. The text begins with a bare machine and proceeds step-by-step through the design and implementation of Xinu which is a small elegant operating system that supports dynamic process creation dynamic memory allocation network communication local and remote file systems a shell and device-independent I/O functions. The Xinu code runs on many hardware platforms. This second edition has been completely rewritten to contrast operating systems for RISC and CISC processors. Encouraging hands-on experimentation the book provides updated code throughout and examples for two low-cost experimenter boards: BeagleBone Black from ARM and Galileo from Intel. | Operating System Design The Xinu Approach Second Edition

GBP 39.99
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Information Technology An Introduction for Today’s Digital World

Information Technology An Introduction for Today’s Digital World

This revised edition has more breadth and depth of coverage than the first edition. Information Technology: An Introduction for Today’s Digital World introduces undergraduate students to a wide variety of concepts that they will encounter throughout their IT studies and careers. The features of this edition include: Introductory system administration coverage of Windows 10 and Linux (Red Hat 7) both as general concepts and with specific hands-on instruction Coverage of programming and shell scripting demonstrated through example code in several popular languages Updated information on modern IT careers Computer networks including more content on cloud computing Improved coverage of computer security Ancillary material that includes a lab manual for hands-on exercises Suitable for any introductory IT course this classroom-tested text presents many of the topics recommended by the ACM Special Interest Group on IT Education (SIGITE). It offers a far more detailed examination of the computer and IT fields than computer literacy texts focusing on concepts essential to all IT professionals – from system administration to scripting to computer organization. Four chapters are dedicated to the Windows and Linux operating systems so that students can gain hands-on experience with operating systems that they will deal with in the real world. | Information Technology An Introduction for Today’s Digital World

GBP 74.99
1

Performance Reliability and Availability Evaluation of Computational Systems Volume I Performance and Background

Performance Reliability and Availability Evaluation of Computational Systems Volume I Performance and Background

This textbook intends to be a comprehensive and substantially self-contained two-volume book covering performance reliability and availability evaluation subjects. The volumes focus on computing systems although the methods may also be applied to other systems. The first volume covers Chapter 1 to Chapter 14 whose subtitle is ``Performance Modeling and Background. The second volume encompasses Chapter 15 to Chapter 25 and has the subtitle ``Reliability and Availability Modeling Measuring and Workload and Lifetime Data Analysis. This text is helpful for computer performance professionals for supporting planning design configuring and tuning the performance reliability and availability of computing systems. Such professionals may use these volumes to get acquainted with specific subjects by looking at the particular chapters. Many examples in the textbook on computing systems will help them understand the concepts covered in each chapter. The text may also be helpful for the instructor who teaches performance reliability and availability evaluation subjects. Many possible threads could be configured according to the interest of the audience and the duration of the course. Chapter 1 presents a good number of possible courses programs that could be organized using this text. Volume I is composed of the first two parts besides Chapter 1. Part I gives the knowledge required for the subsequent parts of the text. This part includes six chapters. It covers an introduction to probability descriptive statistics and exploratory data analysis random variables moments covariance some helpful discrete and continuous random variables Taylor series inference methods distribution fitting regression interpolation data scaling distance measures and some clustering methods. Part II presents methods for performance evaluation modeling such as operational analysis Discrete-Time Markov Chains (DTMC) and Continuous Time Markov Chains (CTMC) Markovian queues Stochastic Petri nets (SPN) and discrete event simulation. | Performance Reliability and Availability Evaluation of Computational Systems Volume I Performance and Background

GBP 120.00
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Analytical Similarity Assessment in Biosimilar Product Development

Analytical Similarity Assessment in Biosimilar Product Development

This book focuses on analytical similarity assessment in biosimilar product development following the FDA’s recommended stepwise approach for obtaining totality-of-the-evidence for approval of biosimilar products. It covers concepts such as the tiered approach for assessment of similarity of critical quality attributes in the manufacturing process of biosimilar products models/methods like the statistical model for classification of critical quality attributes equivalence tests for critical quality attributes in Tier 1 and the corresponding sample size requirements current issues and recent developments in analytical similarity assessment.

GBP 48.99
1

Bioinformatics A Practical Guide to Next Generation Sequencing Data Analysis

Bioinformatics A Practical Guide to Next Generation Sequencing Data Analysis

This book contains the latest material in the subject covering next generation sequencing (NGS) applications and meeting the requirements of a complete semester course. This book digs deep into analysis providing both concept and practice to satisfy the exact need of researchers seeking to understand and use NGS data reprocessing genome assembly variant discovery gene profiling epigenetics and metagenomics. The book does not introduce the analysis pipelines in a black box but with detailed analysis steps to provide readers with the scientific and technical backgrounds required to enable them to conduct analysis with confidence and understanding. The book is primarily designed as a companion for researchers and graduate students using sequencing data analysis but will also serve as a textbook for teachers and students in biology and bioscience. | Bioinformatics A Practical Guide to Next Generation Sequencing Data Analysis

GBP 74.99
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Theoretical Statistics

Theoretical Statistics

A text that stresses the general concepts of the theory of statistics Theoretical Statistics provides a systematic statement of the theory of statistics emphasizing general concepts rather than mathematical rigor. Chapters 1 through 3 provide an overview of statistics and discuss some of the basic philosophical ideas and problems behind statistical procedures. Chapters 4 and 5 cover hypothesis testing with simple and null hypotheses respectively. Subsequent chapters discuss non-parametrics interval estimation point estimation asymptotics Bayesian procedure and deviation theory. Student familiarity with standard statistical techniques is assumed.

GBP 180.00
1

Linux with Operating System Concepts

Linux with Operating System Concepts

A True Textbook for an Introductory Course System Administration Course or a Combination Course Linux with Operating System Concepts Second Edition merges conceptual operating system (OS) and Unix/Linux topics into one cohesive textbook for undergraduate students. The book can be used for a one- or two-semester course on Linux or Unix. It is complete with review sections problems definitions concepts and relevant introductory material such as binary and Boolean logic OS kernels and the role of the CPU and memory hierarchy. Details for Introductory and Advanced Users The book covers Linux from both the user and system administrator positions. From a user perspective it emphasizes command-line interaction. From a system administrator perspective the text reinforces shell scripting with examples of administration scripts that support the automation of administrator tasks. Thorough Coverage of Concepts and Linux Commands The author incorporates OS concepts not found in most Linux/Unix textbooks including kernels file systems storage devices virtual memory and process management. He also introduces computer science topics such as computer networks and TCP/IP interpreters versus compilers file compression file system integrity through backups RAID and encryption technologies booting and the GNUs C compiler. New in this Edition The book has been updated to systemd Linux and the newer services like Cockpit NetworkManager firewalld and journald. This edition explores Linux beyond CentOS/Red Hat by adding detail on Debian distributions. Content across most topics has been updated and improved.

GBP 82.99
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Spatial Statistics for Data Science Theory and Practice with R

Spatial Statistics for Data Science Theory and Practice with R

Spatial data is crucial to improve decision-making in a wide range of fields including environment health ecology urban planning economy and society. Spatial Statistics for Data Science: Theory and Practice with R describes statistical methods modeling approaches and visualization techniques to analyze spatial data using R. The book provides a comprehensive overview of the varying types of spatial data and detailed explanations of the theoretical concepts of spatial statistics alongside fully reproducible examples which demonstrate how to simulate describe and analyze spatial data in various applications. Combining theory and practice the book includes real-world data science examples such as disease risk mapping air pollution prediction species distribution modeling crime mapping and real state analyses. The book utilizes publicly available data and offers clear explanations of the R code for importing manipulating analyzing and visualizing data as well as the interpretation of the results. This ensures contents are easily accessible and fully reproducible for students researchers and practitioners. Key Features: Describes R packages for retrieval manipulation and visualization of spatial data. Offers a comprehensive overview of spatial statistical methods including spatial autocorrelation clustering spatial interpolation model-based geostatistics and spatial point processes. Provides detailed explanations on how to fit and interpret Bayesian spatial models using the integrated nested Laplace approximation (INLA) and stochastic partial differential equation (SPDE) approaches. | Spatial Statistics for Data Science Theory and Practice with R

GBP 74.99
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Statistical Methods for Spatio-Temporal Systems

Statistical Methods for Spatio-Temporal Systems

Statistical Methods for Spatio-Temporal Systems presents current statistical research issues on spatio-temporal data modeling and will promote advances in research and a greater understanding between the mechanistic and the statistical modeling communities. Contributed by leading researchers in the field each self-contained chapter starts with an introduction of the topic and progresses to recent research results. Presenting specific examples of epidemic data of bovine tuberculosis gastroenteric disease and the U. K. foot-and-mouth outbreak the first chapter uses stochastic models such as point process models to provide the probabilistic backbone that facilitates statistical inference from data. The next chapter discusses the critical issue of modeling random growth objects in diverse biological systems such as bacteria colonies tumors and plant populations. The subsequent chapter examines data transformation tools using examples from ecology and air quality data followed by a chapter on space-time covariance functions. The contributors then describe stochastic and statistical models that are used to generate simulated rainfall sequences for hydrological use such as flood risk assessment. The final chapter explores Gaussian Markov random field specifications and Bayesian computational inference via Gibbs sampling and Markov chain Monte Carlo illustrating the methods with a variety of data examples such as temperature surfaces dioxin concentrations ozone concentrations and a well-established deterministic dynamical weather model.

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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Geospatial Health Data Modeling and Visualization with R-INLA and Shiny

Geospatial Health Data Modeling and Visualization with R-INLA and Shiny

Geospatial health data are essential to inform public health and policy. These data can be used to quantify disease burden understand geographic and temporal patterns identify risk factors and measure inequalities. Geospatial Health Data: Modeling and Visualization with R-INLA and Shiny describes spatial and spatio-temporal statistical methods and visualization techniques to analyze georeferenced health data in R. The book covers the following topics: Manipulating and transforming point areal and raster data Bayesian hierarchical models for disease mapping using areal and geostatistical data Fitting and interpreting spatial and spatio-temporal models with the integrated nested Laplace approximation (INLA) and the stochastic partial differential equation (SPDE) approaches Creating interactive and static visualizations such as disease maps and time plots Reproducible R Markdown reports interactive dashboards and Shiny web applications that facilitate the communication of insights to collaborators and policymakers. The book features fully reproducible examples of several disease and environmental applications using real-world data such as malaria in The Gambia cancer in Scotland and USA and air pollution in Spain. Examples in the book focus on health applications but the approaches covered are also applicable to other fields that use georeferenced data including epidemiology ecology demography or criminology. The book provides clear descriptions of the R code for data importing manipulation modelling and visualization as well as the interpretation of the results. This ensures contents are fully reproducible and accessible for students researchers and practitioners. | Geospatial Health Data Modeling and Visualization with R-INLA and Shiny

GBP 84.99
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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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