Love, family, and unselfish hard work form the cornerstone of author Gary T. Miners life. In this collection of poems, he communicates these universal themes through a variety of rhyming verses. A Book of Poems of Life and Love explores true human emotions as it follows a lifes journey of joy and hope, illness and loss, and the power of faith and love. Reflections shares Miners desire to comfort and protect his family: My life is passing day by day And there are many times I pray To keep my family safe and warm Please shelter them from this world's storm I will not be forever here To stand guard and to keep them near Somehow I wish that they would know That I have always loved them so This and the other poems in this heartfelt collection work together to communicate Miners perspective of how life can be enriched by being surrounded with loving family, intimate relationships, and friendships that will last a lifetime.
This work features five core chapters revealing five common business hazards, and each lesson is accompanied by a story based on the author's grandfather'swork in the coal industry, as well as an applicable "canary warning" for eachtheme.
The world contains an unimaginably vast amount of digital information which is getting ever vaster ever more rapidly. This makes it possible to do many things that previously could not be done: spot business trends, prevent diseases, combat crime and so on. Managed well, the textual data can be used to unlock new sources of economic value, provide fresh insights into science and hold governments to account. As the Internet expands and our natural capacity to process the unstructured text that it contains diminishes, the value of text mining for information retrieval and search will increase dramatically. This comprehensive professional reference brings together all the information, tools and methods a professional will need to efficiently use text mining applications and statistical analysis. The Handbook of Practical Text Mining and Statistical Analysis for Non-structured Text Data Applications presents a comprehensive how- to reference that shows the user how to conduct text mining and statistically analyze results. In addition to providing an in-depth examination of core text mining and link detection tools, methods and operations, the book examines advanced preprocessing techniques, knowledge representation considerations, and visualization approaches. Finally, the book explores current real-world, mission-critical applications of text mining and link detection using real world example tutorials in such varied fields as corporate, finance, business intelligence, genomics research, and counterterrorism activities"--
The U.S. healthcare system is in "complete chaos-disarray." Medical costs have increased significantly over the past 6 years with 70% increase for deductibles and 24% or more for health insurance premiums. All the while, workers earnings have either not increased or if they did, the pay raises were for less than the increase in the cost of medical care. The situation is unsustainable and the public wants the system fixed. This book offers ways of fixing the problems in healthcare. HEALTHCARE's OUT SICK - PREDICTING A CURE - Solutions that WORK !!!! first defines the "healthcare in crisis" problem. Through real patient experiences, the book describes the difficulties of getting through the maze of complexity among the plethora of "silo providers" which make up the industry. The heart of the book provides readers with a comprehensive solution that can work, a disruption that is necessary to provide Americans the medical care they need without the US public and healthcare providers and payors going into bankruptcy, insolvency or closure. This book delves into digitized medicine, payor and provider reimbursement models, and value-based healthcare delivery. It also includes a philosophy or mode of thinking and operation for the solutions that are needed for diagnosis-effective, cost-effective, and time-efficient healthcare delivery, of which digitized medicine, value-based care, and payor reimbursement modes are just some of the factors. The authors propose that the real solution involves having the patient at the center of the issues and changing from an archaic gold standard way of thinking to a "Predictive Analytic thinking" where one gets at the real truth by doing "real science" that in the end becomes effective not only for the population but for the individual person. This all leads to real person-centered and person-directed medicine and healthcare delivery.
The first Plan B collection showcases a wide variety of plans gone sideways — private eyes getting stuck on cases they really don’t want to take, petty criminals getting in over their heads, law enforcement professionals on the wrong side of the bars, and upstanding citizens finding themselves to be not so law-abiding after all. These stories are as varied as they are excellent — there are light-hearted tales to make you smile, literary pieces that challenge the definition of crime writing, and realistic portraits of difficult and disturbing decisions. Whatever your tastes, I’m sure you’ll find something to enjoy here and maybe something to surprise you.
The Problem? Companies are failing to deliver on AI and analytics with over half stating they are "not yet treating data as a business asset". Over half admit that they are not competing on data and analytics. Seven out of 10 companies in a 2020 MIT study reported minimal or no impact from AI so far. Among the 90% of companies that have made some investment in AI, fewer than 2 out of 5 (40%) report business gains from AI in the past three years. And only about 25% of organizations have actually forged this data-driven culture. Is investment lacking? No. Companies now are spending more than ever in data, analytics, and AI technologies. Is it a lack of technology? No. There are fascinating breakthroughs occurring on all fronts with image, voice, and streaming pattern recognition on the forefront. Is it a lack of technical talent? Not really. While some studies cite that we need to train more data scientists, developers, and related professionals, the curve of demand by supply is dampening. Is it a lack of creating an executable strategic plan? Yes. While there has been a lot of strategic wishing, organizations lack meaningful strategic plans. Specifically, the development of executable strategies and the leadership to see these strategies brought to fruition. This is the problem. Lack of execution and lack of incorporating key components that align and enable execution of the business strategy to delivery is killing AI and analytics programs. Scott Burk and Gary D. Miner have written this book for executives at all levels who are charged with executing on analytics that need to address this issue. The book provides unique insights into repairing the gaps that programs need to fill to provide value from analytics programs. It complements their three-part series, It’s All Analytics! by focusing on leadership decisions that augment data literacy, organizational architecture, and AI case studies.
Professionals are challenged each day by a changing landscape of technology and terminology. In recent history, especially the last 25 years, there has been an explosion of terms and methods born that automate and improve decision-making and operations. One term, called "analytics," is an overarching description of a compilation of methodologies. But artificial intelligence (AI), statistics, decision science, and optimization, which have been around for decades, have resurged. Also, things like business intelligence, online analytical processing (OLAP) and many, many more have been born or reborn. How is someone to make sense of all this methodology, terminology? Extending on the foundations introduced in the first book, this book illustrates how professionals in healthcare, business, and government are applying these disciplines, methods, and technologies. The goal of this book is to get leaders and practitioners to start thinking about how they may deploy techniques outside their function or industry into their domain. Application of modern technology into new areas is one of the fastest, most effective ways to improve results. By providing a rich set of examples, this book fosters creativity in the application and use of AI and analytics in innovative ways.
Handbook of Statistical Analysis and Data Mining Applications, Second Edition, is a comprehensive professional reference book that guides business analysts, scientists, engineers and researchers, both academic and industrial, through all stages of data analysis, model building and implementation. The handbook helps users discern technical and business problems, understand the strengths and weaknesses of modern data mining algorithms and employ the right statistical methods for practical application. This book is an ideal reference for users who want to address massive and complex datasets with novel statistical approaches and be able to objectively evaluate analyses and solutions. It has clear, intuitive explanations of the principles and tools for solving problems using modern analytic techniques and discusses their application to real problems in ways accessible and beneficial to practitioners across several areas—from science and engineering, to medicine, academia and commerce. Includes input by practitioners for practitioners Includes tutorials in numerous fields of study that provide step-by-step instruction on how to use supplied tools to build models Contains practical advice from successful real-world implementations Brings together, in a single resource, all the information a beginner needs to understand the tools and issues in data mining to build successful data mining solutions Features clear, intuitive explanations of novel analytical tools and techniques, and their practical applications
Up to 70% and even more of corporate Analytics Efforts fail!!! Even after these corporations have made very large investments, in time, talent, and money, in developing what they thought were good data and analytics programs. Why? Because the executives and decision makers and the entire analytics team have not considered the most important aspect of making these analytics efforts successful. In this Book II of "It’s All Analytics!" series, we describe two primary things: 1) What this "most important aspect" consists of, and 2) How to get this "most important aspect" at the center of the analytics effort and thus make your analytics program successful. This Book II in the series is divided into three main parts: Part I, Organizational Design for Success, discusses ....... The need for a complete company / organizational Alignment of the entire company and its analytics team for making its analytics successful. This means attention to the culture – the company culture culture!!! To be successful, the CEO’s and Decision Makers of a company / organization must be fully cognizant of the cultural focus on ‘establishing a center of excellence in analytics’. Simply, "culture – company culture" is the most important aspect of a successful analytics program. The focus must be on innovation, as this is needed by the analytics team to develop successful algorithms that will lead to greater company efficiency and increased profits. Part II, Data Design for Success, discusses ..... Data is the cornerstone of success with analytics. You can have the best analytics algorithms and models available, but if you do not have good data, efforts will at best be mediocre if not a complete failure. This Part II also goes further into data with descriptions of things like Volatile Data Memory Storage and Non-Volatile Data Memory Storage, in addition to things like data structures and data formats, plus considering things like Cluster Computing, Data Swamps, Muddy Data, Data Marts, Enterprise Data Warehouse, Data Reservoirs, and Analytic Sandboxes, and additionally Data Virtualization, Curated Data, Purchased Data, Nascent & Future Data, Supplemental Data, Meaningful Data, GIS (Geographic Information Systems) & Geo Analytics Data, Graph Databases, and Time Series Databases. Part II also considers Data Governance including Data Integrity, Data Security, Data Consistency, Data Confidence, Data Leakage, Data Distribution, and Data Literacy. Part III, Analytics Technology Design for Success, discusses .... Analytics Maturity and aspects of this maturity, like Exploratory Data Analysis, Data Preparation, Feature Engineering, Building Models, Model Evaluation, Model Selection, and Model Deployment. Part III also goes into the nuts and bolts of modern predictive analytics, discussing such terms as AI = Artificial Intelligence, Machine Learning, Deep Learning, and the more traditional aspects of analytics that feed into modern analytics like Statistics, Forecasting, Optimization, and Simulation. Part III also goes into how to Communicate and Act upon Analytics, which includes building a successful Analytics Culture within your company / organization. All-in-all, if your company or organization needs to be successful using analytics, this book will give you the basics of what you need to know to make it happen.
The terrain of the world trading system is shifting as countries in Asia, Europe, and North America negotiate new trade agreements. However, none of these talks include both China and the United States, the two biggest economies in the world. In this pathbreaking study, C. Fred Bergsten, Gary Clyde Hufbauer, and Sean Miner argue that China and the United States would benefit substantially from a bilateral free trade and investment accord. In the process, they contend, each country would also achieve progress in addressing its internal economic challenges, such as the low saving rate in the United States. Achieving greater trade and investment integration could be accomplished with one comprehensive effort or through step-by-step negotiations over key issues. The authors call on the United States to seek liberalization of China's services sector as vital to securing an agreement, and they explain that such contentious matters as cyber espionage and currency manipulation be handled through parallel negotiations rather than in the agreement itself. This is an important study of the benefits and difficulties of a complex matter that could yield dividends to the two economies and help stabilize the security and well-being of the rest of the world.
It's All Analytics! The Foundations of AI, Big Data and Data Science Landscape for Professionals in Healthcare, Business, and Government (978-0-367-35968-3, 325690) Professionals are challenged each day by a changing landscape of technology and terminology. In recent history, especially in the last 25 years, there has been an explosion of terms and methods that automate and improve decision-making and operations. One term, "analytics," is an overarching description of a compilation of methodologies. But AI (artificial intelligence), statistics, decision science, and optimization, which have been around for decades, have resurged. Also, things like business intelligence, online analytical processing (OLAP) and many, many more have been born or reborn. How is someone to make sense of all this methodology and terminology? This book, the first in a series of three, provides a look at the foundations of artificial intelligence and analytics and why readers need an unbiased understanding of the subject. The authors include the basics such as algorithms, mental concepts, models, and paradigms in addition to the benefits of machine learning. The book also includes a chapter on data and the various forms of data. The authors wrap up this book with a look at the next frontiers such as applications and designing your environment for success, which segue into the topics of the next two books in the series.
The mining industry could play a key role in Africa s energy sector, since it requires power in large quantity and reliable quality to run its processes. The integration of mining with power system development, with appropriate risk mitigation mechanisms, could bring a win-win solution to utilities, mines, and people at large.
Practical Data Analytics for Innovation in Medicine: Building Real Predictive and Prescriptive Models in Personalized Healthcare and Medical Research Using AI, ML, and Related Technologies, Second Edition discusses the needs of healthcare and medicine in the 21st century, explaining how data analytics play an important and revolutionary role. With healthcare effectiveness and economics facing growing challenges, there is a rapidly emerging movement to fortify medical treatment and administration by tapping the predictive power of big data, such as predictive analytics, which can bolster patient care, reduce costs, and deliver greater efficiencies across a wide range of operational functions. Sections bring a historical perspective, highlight the importance of using predictive analytics to help solve health crisis such as the COVID-19 pandemic, provide access to practical step-by-step tutorials and case studies online, and use exercises based on real-world examples of successful predictive and prescriptive tools and systems. The final part of the book focuses on specific technical operations related to quality, cost-effective medical and nursing care delivery and administration brought by practical predictive analytics. Brings a historical perspective in medical care to discuss both the current status of health care delivery worldwide and the importance of using modern predictive analytics to help solve the health care crisis Provides online tutorials on several predictive analytics systems to help readers apply their knowledge on today’s medical issues and basic research Teaches how to develop effective predictive analytic research and to create decisioning/prescriptive analytic systems to make medical decisions quicker and more accurate
Handbook of Statistical Analysis: AI and ML Applications, third edition, is a comprehensive introduction to all stages of data analysis, data preparation, model building, and model evaluation. This valuable resource is useful to students and professionals across a variety of fields and settings: business analysts, scientists, engineers, and researchers in academia and industry. General descriptions of algorithms together with case studies help readers understand technical and business problems, weigh the strengths and weaknesses of modern data analysis algorithms, and employ the right analytical methods for practical application. This resource is an ideal guide for users who want to address massive and complex datasets with many standard analytical approaches and be able to evaluate analyses and solutions objectively. It includes clear, intuitive explanations of the principles and tools for solving problems using modern analytic techniques; offers accessible tutorials; and discusses their application to real-world problems. Brings together, in a single resource, all the information a beginner needs to understand the tools and issues in data analytics to build successful predictive analytic solutions Provides in-depth descriptions and directions for performing many data preparation operations necessary to generate data sets in the proper form and format for submission to modeling algorithms Features clear, intuitive explanations of standard analytical tools and techniques and their practical applications Provides a number of case studies to guide practitioners in the design of analytical applications to solve real-world problems in their data domain Offers valuable tutorials on the book webpage with step-by-step instructions on how to use suggested tools to build models Provides predictive insights into the rapidly expanding “Intelligence Age” as it takes over from the “Information Age,” enabling readers to easily transition the book’s content into the tools of the future
This comprehensive professional reference for scientists, engineers, and researchers brings together in a single resource all the information a beginner will need to rapidly learn how to conduct data mining and the statistical analysis required to interpret the data once mined. A glossary of data mining terms provided in the appendix.
From the author of Hellacious California!, deeply human stories of the California Gold Rush generation, full of brutality, tragedy, humor, and prosperity. In less than ten years, more than 300,000 people made the journey to California, some from as far away as Chile and China. Many of them were dreamers seeking a better life, like Mifflin Wistar Gibbs, who eventually became the first African American judge, and Eliza Farnham, an early feminist who founded California's first association to advocate for women's civil rights. Still others were eccentrics—perhaps none more so than San Francisco's self-styled king, Norton I, Emperor of the United States. As Gold Rush Stories relates the social tumult of the world rushing in, so too does it unearth the environmental consequences of the influx, including the destructive flood of yellow ooze (known as “slickens”) produced by the widespread and relentless practice of hydraulic mining. In the hands of a native son of the Sierra, these stories and dozens more reveal the surprising and untold complexities of the Gold Rush. “Seamlessly fuses academic rigor, original reporting and emotional intensity into one meditation on an era.... If the task of the historian is to be faithful to lost truths, then Noy's latest exploration succeeds on every level, and does so in a way that will keep readers wanting to dig deeper into the past.”—Scott Thomas Anderson, Sierra Lodestar “An original and lively look at all the usual suspects, plus bears, weather, women, Joaquín, disappointment and dissipation…. Exhaustively researched and highly entertaining.”—JoAnn Levy, author of They Saw the Elephant: Women in the California Gold Rush
Since the late 1940s, a violent African criminal society known as the Marashea has operated in and around South Africa’s gold mining areas. With thousands of members involved in drug smuggling, extortion, and kidnapping, the Marashea was more influential in the day-to-day lives of many black South Africans under apartheid than were agents of the state. These gangs remain active in South Africa. In We Are Fighting the World: A History of the Marashea Gangs in South Africa, 1947–1999, Gary Kynoch points to the combination of coercive force and administrative weakness that characterized the apartheid state. As long as crime and violence were contained within black townships and did not threaten adjacent white areas, township residents were largely left to fend for themselves. The Marashea’s ability to prosper during the apartheid era and its involvement in political conflict led directly to the violent crime epidemic that today plagues South Africa. Highly readable and solidly researched, We Are Fighting the World is critical to an understanding of South African society, past and present. This pioneering study challenges previous social history research on resistance, ethnicity, urban spaces, and gender in South Africa. Kynoch’s interviews with many current and former gang members give We Are Fighting the World an energy and a realism that are unparalleled in any other published work on gang violence in southern Africa.
Rumors of a planet that is covered in gold, diamonds and precious metals has been talked about for centuries. Many believe that the planet does exist somewhere in the galaxy and astronomers even refer to it as planet R4591, but most people call it the Glistening Planet. A group of engineers contracted to fit life-support systems to the domes on the planet find that the Glistening Planet is no myth as it glitters and shines as the surface is indeed covered in a fortune of precious metals and gemstones. The engineers find out that there is more to the Glistening Planet than vast wealth and they soon find themselves fighting for their lives. More are on the way to raid the planets' riches as well as an army from a military regime and the engineers know they must get off the Glistening Planet as they know of its location and to remain means certain death.
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