Artificial Intelligence in Accounting: Practical Applications was written with a simple goal: to provide accountants with a foundational understanding of AI and its many business and accounting applications. It is meant to serve as a guide for identifying opportunities to implement AI initiatives to increase productivity and profitability. This book will help you answer questions about what AI is and how it is used in the accounting profession today. Offering practical guidance that you can leverage for your organization, this book provides an overview of essential AI concepts and technologies that accountants should know, such as machine learning, deep learning, and natural language processing. It also describes accounting-specific applications of robotic process automation and text mining. Illustrated with case studies and interviews with representatives from global professional services firms, this concise volume makes a significant contribution to examining the intersection of AI and the accounting profession. This innovative book also explores the challenges and ethical considerations of AI. It will be of great interest to accounting practitioners, researchers, educators, and students.
How do you prevent a critical care nurse from accidentally delivering a morphine overdose to an ill patient? Or ensure that people don't insert their arm into a hydraulic mulcher? And what about enabling trapped airline passengers to escape safely in an emergency? Product designers and engineers face myriad such questions every day. Failure to answer them correctly can result in product designs that lead to injury or even death due to use error. Historically, designers and engineers have searched for answers by sifting through complicated safety standards or obscure industry guidance documents. Designing for Safe Use is the first comprehensive source of safety-focused design principles for product developers working in any industry. Inside you’ll find 100 principles that help ensure safe interactions with products as varied as baby strollers, stepladders, chainsaws, automobiles, apps, medication packaging, and even airliners. You’ll discover how protective features such as blade guards, roll bars, confirmation screens, antimicrobial coatings, and functional groupings can protect against a wide range of dangerous hazards, including sharp edges that can lacerate, top-heavy items that can roll over and crush, fumes that can poison, and small parts that can pose a choking hazard. Special book features include: Concise, illustrated descriptions of design principles Sample product designs that illustrate the book’s guidelines and exemplify best practices Literature references for readers interested in learning more about specific hazards and protective measures Statistics on the number of injuries that have arisen in the past due to causes that might be eliminated by applying the principles in the book Despite its serious subject matter, the book’s friendly tone, surprising anecdotes, bold visuals, and occasional attempts at dry humor will keep you interested in the art and science of making products safer. Whether you read the book cover-to-cover or jump around, the book’s relatable and practical approach will help you learn a lot about making products safe. Designing for Safe Use is a primer that will spark in readers a strong appreciation for the need to design safety into products. This reference is for designers, engineers, and students who seek a broad knowledge of safe design solutions. .
Originally published in 1953, this book records the Customary Law of the Sukuma tribe and discusses the differences in law whcih grew up in the various local federations, with the aim of unifying Customary Law for both the Tanzanians and European colonial authorities. The material is presented in short paragraphs which are connected logically to each other, but each of which can stand by itself if it should be necessary to quote it in a judgment.
Introduction to React teaches you React, the JavaScript framework created by developers at Facebook, to solve the problem of building complex user interfaces in a consistent and maintainable way. React.js shrugs away common front-end conventions in an effort to make things more efficient - use Introduction to React to learn about this framework and more today. Get to know the React API and it’s specific JavaScript extension, JSX, which makes authoring React components easier and maintainable. You will also learn how to test your React applications and about the tools you can use while building. Once you understand these core concepts, you can build applications with React. This will help you cement the ideas and fundamentals of React and prepare you to utilize React in your own use case. What You'll Learn: How to use React to maintain complex user interfaces in an efficient way How to integrate existing user interfaces and move forward with React How to manage application architecture using Flux How to easily utilize JSX, React's JavaScript extension
This book addresses topics in the area of forensic analysis of systems running on variants of the UNIX operating system, which is the choice of hackers for their attack platforms. According to a 2007 IDC report, UNIX servers account for the second-largest segment of spending (behind Windows) in the worldwide server market with $4.2 billion in 2Q07, representing 31.7% of corporate server spending. UNIX systems have not been analyzed to any significant depth largely due to a lack of understanding on the part of the investigator, an understanding and knowledge base that has been achieved by the attacker. The book begins with a chapter to describe why and how the book was written, and for whom, and then immediately begins addressing the issues of live response (volatile) data collection and analysis. The book continues by addressing issues of collecting and analyzing the contents of physical memory (i.e., RAM). The following chapters address /proc analysis, revealing the wealth of significant evidence, and analysis of files created by or on UNIX systems. Then the book addresses the underground world of UNIX hacking and reveals methods and techniques used by hackers, malware coders, and anti-forensic developers. The book then illustrates to the investigator how to analyze these files and extract the information they need to perform a comprehensive forensic analysis. The final chapter includes a detailed discussion of loadable kernel Modules and malware. Throughout the book the author provides a wealth of unique information, providing tools, techniques and information that won't be found anywhere else. This book contains information about UNIX forensic analysis that is not available anywhere else. Much of the information is a result of the author's own unique research and work. The authors have the combined experience of law enforcement, military, and corporate forensics. This unique perspective makes this book attractive to all forensic investigators.
A new approach to teaching computing and technology ethics using science fiction stories. Should autonomous weapons be legal? Will we be cared for by robots in our old age? Does the efficiency of online banking outweigh the risk of theft? From communication to travel to medical care, computing technologies have transformed our daily lives, for better and for worse. But how do we know when a new development comes at too high a cost? Using science fiction stories as case studies of ethical ambiguity, this engaging textbook offers a comprehensive introduction to ethical theory and its application to contemporary developments in technology and computer science. Computing and Technology Ethics: Engaging through Science Fiction first introduces the major ethical frameworks: deontology, utilitarianism, virtue ethics, communitarianism, and the modern responses of responsibility ethics, feminist ethics, and capability ethics. It then applies these frameworks to many of the modern issues arising in technology ethics including privacy, computing, and artificial intelligence. A corresponding anthology of science fiction brings these quandaries to life and challenges students to ask ethical questions of themselves and their work. Uses science fiction case studies to make ethics education engaging and fun Trains students to recognize, evaluate, and respond to ethical problems as they arise Features anthology of short stories from internationally acclaimed writers including Ken Liu, Elizabeth Bear, Paolo Bacigalupi, and T. C. Boyle to animate ethical challenges in computing technology Written by interdisciplinary author team of computer scientists and ethical theorists Includes a robust suite of instructor resources, such as pedagogy guides, story frames, and reflection questions
Advanced Perioperative Crisis Management is a high-yield, clinically-relevant resource for understanding the epidemiology, pathophysiology, assessment, and management of a wide variety of perioperative emergencies. Three introductory chapters review a critical thinking approach to the unstable or pulseless patient, crisis resource management principles to improve team performance and the importance of cognitive aids in adhering to guidelines during perioperative crises. The remaining sections cover six major areas of patient instability: cardiac, pulmonary, neurologic, metabolic/endocrine, and toxin-related disorders, and shock states, as well as specific emergencies for obstetrical and pediatric patients. Each chapter opens with a clinical case, followed by a discussion of the relevant evidence. Case-based learning discussion questions, which can be used for self-assessment or in the classroom, round out each chapter. Advanced Perioperative Crisis Management is an ideal resource for trainees, clinicians, and nurses who work in the perioperative arena, from the operating room to the postoperative surgical ward.
Within the United States, minority and low-income communities currently bear a disproportionate amount of risk associated with pollution and other harmful environmental practices. The environmental justice movement is working to change this fact, promoting the fair and non-discriminatory treatment of all people with respect to environmental issues, policies, and regulations. This fascinating and timely volume explores the relationship between environmental justice and the government, offering a comprehensive introduction to the legal, economic, and philosophical concerns involved in pursuing environmental justice goals within a federalist system. The authors discuss two case studies in their investigation of the complex interactions between environmental justice and government. These analyses offer a comprehensive view of both the siting and regulation of polluting activities, as well as a discussion of the effects on major natural resources such as clean air and drinking water. In each case, the authors both describe current government responses to the problem and offer specific recommendations regarding what actions should be taken in the future. This authoritative book will make an invaluable addition to courses in environmental law and policy. Professionals and policymakers working in disciplines such as law, economics, environmental science, philosophy and political science will also find this a comprehensive and critical reference.
Growing south from the plaza where the city of Los Angeles was founded as a tiny pueblo in 1781, the area now known as downtown L.A. was first developed in the late 1800s as a residential neighborhood, complete with churches and schools. As the population surged at the turn of the 20th century, the downtown area was transformed into a busy business and entertainment center of shops, banks, hotels, and theaters. The explosion of the postcard craze in the early 1900s coincided with this period of downtowns tremendous growth toward a formidable metropolis. This collection of vintage postcards offers a glimpse into the changing city through the 1940s.
The intent of Pathology Medical Student Pearls of Wisdom is to serve as a study aid to improve performance on a standardized examination. It is not intended to be a source text of the knowledge base of medicine or to serve as a reference in any way for the practice of clinical medicine. Neither Boston Medical Publishing Corporation nor the editors warrant that the information in this text is complete or accurate. the reader is encouraged to verify each answer in several references. All drug use indications and dosages must be verified by the reader before administration of any compound.
With the arrival of affordable transcontinental rail travel in the late 1880s, hundreds of thousands of tourists and transplants began making the trip to Los Angeles. Quickly becoming a haven for Easterners escaping cold winters and crowded cities, Los Angeles and neighboring communities, such as Pasadena and Santa Monica, boasted a sunny Mediterranean climate and the unique situation of both nearby mountain resorts and seaside amusements. The city also developed a bustling shopping and entertainment district downtown. More than 200 vintage postcard images illustrate a greatly diverse range of popular early attractions, including Mount Lowe, Eastlake Park, Hollywood, the Wilshire district, Griffith Park, Cawstons Ostrich Farm, the downtown shopping and theater district, and the expansive beaches, ranging from the turn of the 19th century up until World War II.
Originally published in 1945, this book was written at a time when an increasing European influence was affecting customary law in what was Tanganyika and this volume records different aspects of customary law such as inheritance, matrimony, divorce, property and the courts. Tribal structure in Uhaya is also discussed and a list of clans provided.
On March 15, 2011, Donald Trump changed television forever. The Comedy Central Roast of Trump was the first major live broadcast to place a hashtag in the corner of the screen to encourage real-time reactions on Twitter, generating more than 25,000 tweets and making the broadcast the most-watched Roast in Comedy Central history. The #trumproast initiative personified the media and tech industries’ utopian vision for a multi-screen and communal live TV experience. In Social TV: Multi-Screen Content and Ephemeral Culture, author Cory Barker reveals how the US television industry promised—but failed to deliver—a social media revolution in the 2010s to combat the imminent threat of on-demand streaming video. Barker examines the rise and fall of Social TV across press coverage, corporate documents, and an array of digital ephemera. He demonstrates that, despite the talk of disruption, the movement merely aimed to exploit social media to reinforce the value of live TV in the modern attention economy. Case studies from broadcast networks to tech start-ups uncover a persistent focus on community that aimed to monetize consumer behavior in a transitionary industry period. To trace these unfulfilled promises and flopped ideas, Barker draws upon a unique mix of personal Social TV experiences and curated archives of material that were intentionally marginalized amid pivots to the next big thing. Yet in placing this now-forgotten material in recent historical context, Social TV shows how the era altered how the industry pursues audiences. Multi-screen campaigns have shifted away from a focus on live TV and toward all-day “content” streams. The legacy of Social TV, then, is the further embedding of media and promotional material onto every screen and into every moment of life.
From the popular host of The Astral Hustle, an accessible guide to hacking your mind--and life--to feel more fully present and alive, even if you're not the "the meditating type." Through his popular podcast The Astral Hustle and online meditation course Release into Now, Cory Allen has helped thousands of people better cope with the stress of daily life through meditation, mindfulness, and mental clarity. With concise advice and profound simplicity, he manages to cut through the jargon and speak to people where they are, giving them the tools to live in "the wow of now." In this accessible and supportive guide, Allen walks readers through the basics of mindfulness--not as something you should do, but as a tool to achieve greater peace of mind, dial down anxiety and stress, and truly feel like yourself. Informed by a lifelong personal journey, as well as insights gathered through podcast interviews with leaders in mindfulness, neuroscience, and philosophy, Now Is the Way is a simple user's manual for living the life you want, one present moment at a time.
First published in 1945, this study covers a wide range of topics including marriage, divorce, bride-price, inheritance, property, personal status and contracts as well as some notes on the customary courts and the way they functioned during the period of British administration
1 New Continent, 2 New Classes, A whole world of possibilities ·Developer Written - This guide is being written by the same people who created the expansion for the game! Who better to deliver the inside scoops and tidbits you crave? ·Two Brand New Classes - Find out all you need to know about the Assassin and the Ritualist, two powerful new heroes in a war-forged world. ·Details, Details, Details - New areas, new challenges, new PvP arenas, new skills, new pets, new weapons, and new armor - turn to our guide for information vital to survival in this new world!
New York State was a center of industry during World War II. New York aviation companies designed many of the greatest combat aircraft of the era, and bustling armies of women and men helped quickly churn them out by the thousands. More than one fourth of all US warplanes came from New York drawing boards during the war. These planes saw combat service everywhere, holding the line in the deserts of North Africa and flying from aircraft carriers plying the vast Pacific Ocean. Others operated over the frozen tundra of Alaska and Siberia. New York aircraft flew tons of fuel, ammunition, and supplies over the treacherous Himalayan Mountains into China, relentlessly hounded enemy submarines and ships, and battered Axis strongholds all the way to victory.
Master machine learning techniques with R to deliver insights in complex projects About This Book Understand and apply machine learning methods using an extensive set of R packages such as XGBOOST Understand the benefits and potential pitfalls of using machine learning methods such as Multi-Class Classification and Unsupervised Learning Implement advanced concepts in machine learning with this example-rich guide Who This Book Is For This book is for data science professionals, data analysts, or anyone with a working knowledge of machine learning, with R who now want to take their skills to the next level and become an expert in the field. What You Will Learn Gain deep insights into the application of machine learning tools in the industry Manipulate data in R efficiently to prepare it for analysis Master the skill of recognizing techniques for effective visualization of data Understand why and how to create test and training data sets for analysis Master fundamental learning methods such as linear and logistic regression Comprehend advanced learning methods such as support vector machines Learn how to use R in a cloud service such as Amazon In Detail This book will teach you advanced techniques in machine learning with the latest code in R 3.3.2. You will delve into statistical learning theory and supervised learning; design efficient algorithms; learn about creating Recommendation Engines; use multi-class classification and deep learning; and more. You will explore, in depth, topics such as data mining, classification, clustering, regression, predictive modeling, anomaly detection, boosted trees with XGBOOST, and more. More than just knowing the outcome, you'll understand how these concepts work and what they do. With a slow learning curve on topics such as neural networks, you will explore deep learning, and more. By the end of this book, you will be able to perform machine learning with R in the cloud using AWS in various scenarios with different datasets. Style and approach The book delivers practical and real-world solutions to problems and a variety of tasks such as complex recommendation systems. By the end of this book, you will have gained expertise in performing R machine learning and will be able to build complex machine learning projects using R and its packages.
This book focuses on the representation of nature in science education in schools in the United States. Given the importance of our relationship with the nonhuman world for the fate of our planet, this work gives special attention to the representation, instruction, and understanding of the relationship between the social and the natural world. It also proposes an alternative, sustainability science-based conceptual framework for ecology and environmental science topics in science education, which is compatible with the current social-ecological understanding of life in the Anthropocene epoch.
Ancient wisdom originally believed that the body, mind, and spirit were interconnected. Today, more than ever, modern medical experts consider this ancient wisdom as a gospel. A new era of consciousness is slowly but surely emerging. Long-time friends Jimmy Licauco and Cory Quirino combined their individual expertise into one concise book that may very well become the ultimate guide for living well and looking good.
Master machine learning techniques with real-world projects that interface TensorFlow with R, H2O, MXNet, and other languages Key FeaturesGain expertise in machine learning, deep learning and other techniquesBuild intelligent end-to-end projects for finance, social media, and a variety of domainsImplement multi-class classification, regression, and clusteringBook Description R is one of the most popular languages when it comes to exploring the mathematical side of machine learning and easily performing computational statistics. This Learning Path shows you how to leverage the R ecosystem to build efficient machine learning applications that carry out intelligent tasks within your organization. You'll tackle realistic projects such as building powerful machine learning models with ensembles to predict employee attrition. You'll explore different clustering techniques to segment customers using wholesale data and use TensorFlow and Keras-R for performing advanced computations. You’ll also be introduced to reinforcement learning along with its various use cases and models. Additionally, it shows you how some of these black-box models can be diagnosed and understood. By the end of this Learning Path, you’ll be equipped with the skills you need to deploy machine learning techniques in your own projects. This Learning Path includes content from the following Packt products: R Machine Learning Projects by Dr. Sunil Kumar ChinnamgariMastering Machine Learning with R - Third Edition by Cory LesmeisterWhat you will learnDevelop a joke recommendation engine to recommend jokes that match users’ tastesBuild autoencoders for credit card fraud detectionWork with image recognition and convolutional neural networksMake predictions for casino slot machine using reinforcement learningImplement NLP techniques for sentiment analysis and customer segmentationProduce simple and effective data visualizations for improved insightsUse NLP to extract insights for textImplement tree-based classifiers including random forest and boosted treeWho this book is for If you are a data analyst, data scientist, or machine learning developer this is an ideal Learning Path for you. Each project will help you test your skills in implementing machine learning algorithms and techniques. A basic understanding of machine learning and working knowledge of R programming is necessary to get the most out of this Learning Path.
′I believe the experiments in this text can be well integrated into any science education course and help create an environment of exploration." - Willis Walter, Jr., Florida AM University ′This textbook should be a companion of all elementary and middle school pre-service and in-service teachers who are interested in educating students of different abilities and backgrounds′ - Benjamin C. Ngwudike, Jackson State University ′Science is almost always thought of as a solitary content area practiced by lone practitioners in isolated laboratories. The reality is that science is highly dependent upon culture and history. This textbook meaningfully presents these relationships in a fashion accessible to college level teacher candidates′ - Claudia A. Balach, Slippery Rock University of Pennsylvania Teaching Science in Elementary and Middle School: A Cognitive and Cultural Approach is an introductory science curriculum and methods textbook for pre-service teachers in primary and middle schools. The primary purpose of the book is to provide an introduction to the teaching of science with an emphasis on guiding the pre-service teacher toward: - conceptual understanding of core standards-based science content from the four major scientific disciplines - application of scientific methods and processes of inquiry to the learning of these science concepts - development of scientific language that is both expressive and constitutive in the formation of scientific reasoning - the ability to guide learners through numerous core scientific experiments that help to illuminate items 1-3 - evaluation of social and cultural factors that shape and influence both science and science education - analysis of the local context in which science must be understood (as well as the global context) - synthesis of science as interrelated with other aspects of the world and how this idea can be taught to students through integrated and thematic instruction. The approach throughout is clear and practical, and is designed to foster reflective teaching rooted in research and theory. Teaching Science in Elementary and Middle School: A Cognitive and Cultural Approach is a synthesis of current knowledge in science education, cognition and culture. The authors provide a text that fosters the development of teachers who feel prepared to engage their students in rich science learning experiences.
Find out how to build smarter machine learning systems with R. Follow this three module course to become a more fluent machine learning practitioner. About This Book Build your confidence with R and find out how to solve a huge range of data-related problems Get to grips with some of the most important machine learning techniques being used by data scientists and analysts across industries today Don't just learn – apply your knowledge by following featured practical projects covering everything from financial modeling to social media analysis Who This Book Is For Aimed for intermediate-to-advanced people (especially data scientist) who are already into the field of data science What You Will Learn Get to grips with R techniques to clean and prepare your data for analysis, and visualize your results Implement R machine learning algorithms from scratch and be amazed to see the algorithms in action Solve interesting real-world problems using machine learning and R as the journey unfolds Write reusable code and build complete machine learning systems from the ground up Learn specialized machine learning techniques for text mining, social network data, big data, and more Discover the different types of machine learning models and learn which is best to meet your data needs and solve your analysis problems Evaluate and improve the performance of machine learning models Learn specialized machine learning techniques for text mining, social network data, big data, and more In Detail R is the established language of data analysts and statisticians around the world. And you shouldn't be afraid to use it... This Learning Path will take you through the fundamentals of R and demonstrate how to use the language to solve a diverse range of challenges through machine learning. Accessible yet comprehensive, it provides you with everything you need to become more a more fluent data professional, and more confident with R. In the first module you'll get to grips with the fundamentals of R. This means you'll be taking a look at some of the details of how the language works, before seeing how to put your knowledge into practice to build some simple machine learning projects that could prove useful for a range of real world problems. For the following two modules we'll begin to investigate machine learning algorithms in more detail. To build upon the basics, you'll get to work on three different projects that will test your skills. Covering some of the most important algorithms and featuring some of the most popular R packages, they're all focused on solving real problems in different areas, ranging from finance to social media. This Learning Path has been curated from three Packt products: R Machine Learning By Example By Raghav Bali, Dipanjan Sarkar Machine Learning with R Learning - Second Edition By Brett Lantz Mastering Machine Learning with R By Cory Lesmeister Style and approach This is an enticing learning path that starts from the very basics to gradually pick up pace as the story unfolds. Each concept is first defined in the larger context of things succinctly, followed by a detailed explanation of their application. Each topic is explained with the help of a project that solves a real-world problem involving hands-on work thus giving you a deep insight into the world of machine learning.
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