Foundations of Artificial Intelligence in Healthcare and Bioscience

Foundations of Artificial Intelligence in Healthcare and Bioscience
Author: Louis J. Catania
Publsiher: Academic Press
Total Pages: 558
Release: 2020-11-25
ISBN 10: 0323860052
ISBN 13: 9780323860055
Language: EN, FR, DE, ES & NL

Foundations of Artificial Intelligence in Healthcare and Bioscience Book Review:

Foundational Handbook of Artificial Intelligence in Healthcare and Bioscience: A User Friendly Guide for IT Professionals, Healthcare Providers, Researchers, and Clinicians uses color-coded illustrations to explain AI from its basics to modern technologies. Other sections cover extensive, current literature research and citations regarding AI’s role in the business and clinical aspects of health care. The book provides readers with a unique opportunity to appreciate AI technology in practical terms, understand its applications, and realize its profound influence on the clinical and business aspects of health care. Artificial Intelligence is a disruptive technology that is having a profound and growing influence on the business of health care as well as medical diagnosis, treatment, research and clinical delivery. The AI relationships in health care are complex, but understandable, especially when discussed and developed from their foundational elements through to their practical applications in health care. Provides an illustrated, foundational guide and comprehensive descriptions of what Artificial Intelligence is and how it functions Integrates a comprehensive discussion of AI applications in the business of health care Presents in-depth clinical and AI-related discussions on diagnostic medicine, therapeutic medicine, and prevalent disease categories with an emphasis on immunology and genetics, the two categories most influenced by AI Includes comprehensive coverage of a variety of AI treatment applications, including medical/pharmaceutical care, nursing care, stem cell therapies, robotics, and 10 common disease categories with AI applications

Quality of Healthcare in the Aftermath of the COVID 19 Pandemic

Quality of Healthcare in the Aftermath of the COVID 19 Pandemic
Author: Moumtzoglou, Anastasius
Publsiher: IGI Global
Total Pages: 403
Release: 2021-12-10
ISBN 10: 1799891992
ISBN 13: 9781799891994
Language: EN, FR, DE, ES & NL

Quality of Healthcare in the Aftermath of the COVID 19 Pandemic Book Review:

The COVID-19 pandemic has put massive stress on healthcare professionals’ formal training, their creed to do no harm, and the patient safety movement. COVID-19 affects all aspects of daily life and healthcare’s organizational culture and values. Healthcare institutions experience absenteeism, change in commerce patterns, and interrupted supply/delivery in this context. It has also revealed the extensive amounts of data needed for population health management, as well as the opportunities afforded by mainstreaming telehealth and virtual care capabilities, thus making the implementation of health IT essential in the post-pandemic era. Quality of Healthcare in the Aftermath of the COVID-19 Pandemic clarifies how healthcare professionals might provide their services differently than treating a patient through its vicinity with multiple providers. It examines the notion that healthcare education requires a pack of healthcare workers from varied educational backgrounds and training levels for the nuances of a disease. Covering topics such as blockchain technology, power density analysis, and supply chain, this book is a valuable resource for undergraduate and extended degree program students, graduate students of healthcare quality and health services management, healthcare managers, health professionals, researchers, professors, and academicians.

Principles and Practice of Constraint Programming CP 2012

Principles and Practice of Constraint Programming   CP 2012
Author: Michela Milano
Publsiher: Springer
Total Pages: 1015
Release: 2012-10-03
ISBN 10: 3642335586
ISBN 13: 9783642335587
Language: EN, FR, DE, ES & NL

Principles and Practice of Constraint Programming CP 2012 Book Review:

This book constitutes the thoroughly refereed post-conference proceedings of the 18th International Conference on Principles and Practice of Constraint Programming (CP 2012), held in Québec, Canada, in October 2012. The 68 revised full papers were carefully selected from 186 submissions. Beside the technical program, the conference featured two special tracks. The former was the traditional application track, which focused on industrial and academic uses of constraint technology and its comparison and integration with other optimization techniques (MIP, local search, SAT, etc.) The second track, featured for the first time in 2012, concentrated on multidisciplinary papers: cross-cutting methodology and challenging applications collecting papers that link CP technology with other techniques like machine learning, data mining, game theory, simulation, knowledge compilation, visualization, control theory, and robotics. In addition, the track focused on challenging application fields with a high social impact such as CP for life sciences, sustainability, energy efficiency, web, social sciences, finance, and verification.

AI for Immunology

AI for Immunology
Author: Louis J. Catania
Publsiher: CRC Press
Total Pages: 144
Release: 2021-01-28
ISBN 10: 1000369919
ISBN 13: 9781000369915
Language: EN, FR, DE, ES & NL

AI for Immunology Book Review:

The bioscience of immunology has given us a better understanding of human health and disease. Artificial intelligence (AI) has elevated that understanding and its applications in immunology to new levels. Together, AI for immunology is an advancing horizon in health care, disease diagnosis, and prevention. From the simple cold to the most advanced autoimmune disorders and now pandemics, AI for immunology is unlocking the causes and cures. Key features: A highly accessible and wide-ranging short introduction to AI for immunology Includes a chapter on COVID-19 and pandemics Includes scientific and clinical considerations, as well as immune and autoimmune diseases

It s All Analytics

It s All Analytics
Author: Scott Burk,Gary D. Miner
Publsiher: CRC Press
Total Pages: 272
Release: 2020-07-02
ISBN 10: 100006722X
ISBN 13: 9781000067224
Language: EN, FR, DE, ES & NL

It s All Analytics Book Review:

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.

Deep Learning in Biomedical and Health Informatics

Deep Learning in Biomedical and Health Informatics
Author: M. A. Jabbar,Ajith Abraham,Onur Dogan,Ana Maria Madureira,Sanju Tiwari
Publsiher: CRC Press
Total Pages: 224
Release: 2021-09-26
ISBN 10: 1000429083
ISBN 13: 9781000429084
Language: EN, FR, DE, ES & NL

Deep Learning in Biomedical and Health Informatics Book Review:

This book provides a proficient guide on the relationship between Artificial Intelligence (AI) and healthcare and how AI is changing all aspects of the healthcare industry. It also covers how deep learning will help in diagnosis and the prediction of disease spread. The editors present a comprehensive review of research applying deep learning in health informatics in the fields of medical imaging, electronic health records, genomics, and sensing, and highlights various challenges in applying deep learning in health care. This book also includes applications and case studies across all areas of AI in healthcare data. The editors also aim to provide new theories, techniques, developments, and applications of deep learning, and to solve emerging problems in healthcare and other domains. This book is intended for computer scientists, biomedical engineers, and healthcare professionals researching and developing deep learning techniques. In short, the volume : Discusses the relationship between AI and healthcare, and how AI is changing the health care industry. Considers uses of deep learning in diagnosis and prediction of disease spread. Presents a comprehensive review of research applying deep learning in health informatics across multiple fields. Highlights challenges in applying deep learning in the field. Promotes research in ddeep llearning application in understanding the biomedical process. Dr.. M.A. Jabbar is a professor and Head of the Department AI&ML, Vardhaman College of Engineering, Hyderabad, Telangana, India. Prof. (Dr.) Ajith Abraham is the Director of Machine Intelligence Research Labs (MIR Labs), Auburn, Washington, USA. Dr.. Onur Dogan is an assistant professor at İzmir Bakırçay University, Turkey. Prof. Dr. Ana Madureira is the Director of The Interdisciplinary Studies Research Center at Instituto Superior de Engenharia do Porto (ISEP), Portugal. Dr.. Sanju Tiwari is a senior researcher at Universidad Autonoma de Tamaulipas, Mexico.

Cunning Machines

Cunning Machines
Author: Jędrzej Osiński
Publsiher: CRC Press
Total Pages: 169
Release: 2020-02-10
ISBN 10: 1000046028
ISBN 13: 9781000046021
Language: EN, FR, DE, ES & NL

Cunning Machines Book Review:

There are many myths and mistakes which make the topics of artificial intelligence complex and confusing. But the truth is that the foundations of AI are not rocket science. People do not need a PhD to understand how a basic neural network works. In fact, one does not even need computer skills to learn this. Cunning Machines: Your Pocket Guide to the World of Artificial Intelligence explains the main concepts: what does AI really mean, where do we find it, how do scientists try to evaluate it, what are its main limitations and what future we can expect with it? It also describes the most popular AI techniques in an easy-to-digest form: Artificial neural networks Genetic algorithms The Monte Carlo method Natural language processing Ontologies and their applications This book is for everyone. Still, it may be especially valuable to teachers who wish to enrich their classes with some interesting and popular topics, sales managers and business analysts who wish to better understand the IT world, and finally politicians and journalists who take part in debates on the latest technologies. Jędrzej Osiński earned a PhD in artificial intelligence, has worked on government grants and has published 14 scientific papers to date. He is also the co-author of two books. At the same time, he has over ten years of experience working in IT companies of different sizes, domains (the web, telecoms, banking, e-learning), organisation structures and locations (Poland, Ireland and the UK). He is also involved in various initiatives promoting AI, science and modern technologies including blog posts, invited talks and TV and radio appearances

Wittgenstein s Remarks on the Foundations of AI

Wittgenstein s Remarks on the Foundations of AI
Author: Stuart G. Shanker
Publsiher: Routledge
Total Pages: 296
Release: 2002-01-31
ISBN 10: 1134859910
ISBN 13: 9781134859917
Language: EN, FR, DE, ES & NL

Wittgenstein s Remarks on the Foundations of AI Book Review:

Wittgenstein's Remarks on the Foundations of AI is a valuable contribution to the study of Wittgenstein's theories and his controversial attack on artifical intelligence, which successfully crosses a number of disciplines, including philosophy, psychology, logic, artificial intelligence and cognitive science, to provide a stimulating and searching analysis.

Introduction to Computational Health Informatics

Introduction to Computational Health Informatics
Author: Arvind Kumar Bansal,Javed Iqbal Khan,S. Kaisar Alam
Publsiher: CRC Press
Total Pages: 576
Release: 2019-12-23
ISBN 10: 1000761436
ISBN 13: 9781000761436
Language: EN, FR, DE, ES & NL

Introduction to Computational Health Informatics Book Review:

This class-tested textbook is designed for a semester-long graduate or senior undergraduate course on Computational Health Informatics. The focus of the book is on computational techniques that are widely used in health data analysis and health informatics and it integrates computer science and clinical perspectives. This book prepares computer science students for careers in computational health informatics and medical data analysis. Features Integrates computer science and clinical perspectives Describes various statistical and artificial intelligence techniques, including machine learning techniques such as clustering of temporal data, regression analysis, neural networks, HMM, decision trees, SVM, and data mining, all of which are techniques used widely used in health-data analysis Describes computational techniques such as multidimensional and multimedia data representation and retrieval, ontology, patient-data deidentification, temporal data analysis, heterogeneous databases, medical image analysis and transmission, biosignal analysis, pervasive healthcare, automated text-analysis, health-vocabulary knowledgebases and medical information-exchange Includes bioinformatics and pharmacokinetics techniques and their applications to vaccine and drug development

Transforming Management Using Artificial Intelligence Techniques

Transforming Management Using Artificial Intelligence Techniques
Author: Vikas Garg,Rashmi Agrawal
Publsiher: CRC Press
Total Pages: 200
Release: 2020-11-06
ISBN 10: 1000209989
ISBN 13: 9781000209983
Language: EN, FR, DE, ES & NL

Transforming Management Using Artificial Intelligence Techniques Book Review:

Transforming Management Using Artificial Intelligence Techniques redefines management practices using artificial intelligence (AI) by providing a new approach. It offers a detailed, well-illustrated treatment of each topic with examples and case studies, and brings the exciting field to life by presenting a substantial and robust introduction to AI in a clear and concise manner. It provides a deeper understanding of how the relevant aspects of AI impact each other’s efficacy for better output. It’s a reliable and accessible one-step resource that introduces AI; presents a full examination of applications; provides an understanding of the foundations; examines education powered by AI, entertainment, home and service robots, healthcare re-imagined, predictive policing, space exploration; and so much more, all within the realm of AI. This book will feature: Uncovering new and innovative features of AI and how it can help in raising economic efficiency at both micro- and macro levels Both the literature and practical aspects of AI and its uses This book summarizing key concepts at the end of each chapter to assist reader comprehension Case studies of tried and tested approaches to resolutions of typical problems Ideal for both teaching and general-knowledge purposes. This book will also simply provide the topic of AI for the readers, aspiring researchers and practitioners involved in management and computer science, so they can obtain a high-level of understanding of AI and managerial applications.

The Routledge Companion to Artificial Intelligence in Architecture

The Routledge Companion to Artificial Intelligence in Architecture
Author: Imdat As,Prithwish Basu
Publsiher: Routledge
Total Pages: 486
Release: 2021-05-06
ISBN 10: 1000372413
ISBN 13: 9781000372410
Language: EN, FR, DE, ES & NL

The Routledge Companion to Artificial Intelligence in Architecture Book Review:

Providing the most comprehensive source available, this book surveys the state of the art in artificial intelligence (AI) as it relates to architecture. This book is organized in four parts: theoretical foundations, tools and techniques, AI in research, and AI in architectural practice. It provides a framework for the issues surrounding AI and offers a variety of perspectives. It contains 24 consistently illustrated contributions examining seminal work on AI from around the world, including the United States, Europe, and Asia. It articulates current theoretical and practical methods, offers critical views on tools and techniques, and suggests future directions for meaningful uses of AI technology. Architects and educators who are concerned with the advent of AI and its ramifications for the design industry will find this book an essential reference.

An Introduction To Artificial Intelligence

An Introduction To Artificial Intelligence
Author: Janet Finlay
Publsiher: CRC Press
Total Pages: 135
Release: 2020-10-29
ISBN 10: 100011094X
ISBN 13: 9781000110944
Language: EN, FR, DE, ES & NL

An Introduction To Artificial Intelligence Book Review:

An authoritative and accessible one-stop resource, An Introduction to Artificial Intelligence presents the first full examination of AI. Designed to provide an understanding of the foundations of artificial intelligence, it examines the central computational techniques employed by AI, including knowledge representation, search, reasoning, and learning, as well as the principal application domains of expert systems, natural language, vision, robotics, software agents and cognitive modeling. Many of the major philosophical and ethical issues of AI are also introduced. Throughout the volume, the authors provide detailed, well-illustrated treatments of each topic with abundant examples and exercises. The authors bring this exciting field to life by presenting a substantial and robust introduction to artificial intelligence in a clear and concise coursebook form. This book stands as a core text for all computer scientists approaching AI for the first time.

Artificial Intelligence for the Internet of Everything

Artificial Intelligence for the Internet of Everything
Author: William Lawless,Ranjeev Mittu,Donald Sofge,Ira S Moskowitz,Stephen Russell
Publsiher: Academic Press
Total Pages: 303
Release: 2019-02-21
ISBN 10: 0128176377
ISBN 13: 9780128176375
Language: EN, FR, DE, ES & NL

Artificial Intelligence for the Internet of Everything Book Review:

Artificial Intelligence for the Internet of Everything considers the foundations, metrics and applications of IoE systems. It covers whether devices and IoE systems should speak only to each other, to humans or to both. Further, the book explores how IoE systems affect targeted audiences (researchers, machines, robots, users) and society, as well as future ecosystems. It examines the meaning, value and effect that IoT has had and may have on ordinary life, in business, on the battlefield, and with the rise of intelligent and autonomous systems. Based on an artificial intelligence (AI) perspective, this book addresses how IoE affects sensing, perception, cognition and behavior. Each chapter addresses practical, measurement, theoretical and research questions about how these “things may affect individuals, teams, society or each other. Of particular focus is what may happen when these “things begin to reason, communicate and act autonomously on their own, whether independently or interdependently with other “things . Considers the foundations, metrics and applications of IoE systems Debates whether IoE systems should speak to humans and each other Explores how IoE systems affect targeted audiences and society Discusses theoretical IoT ecosystem models

Artificial Intelligence and the Environmental Crisis

Artificial Intelligence and the Environmental Crisis
Author: Keith Ronald Skene
Publsiher: Routledge
Total Pages: 266
Release: 2019-12-19
ISBN 10: 042961909X
ISBN 13: 9780429619090
Language: EN, FR, DE, ES & NL

Artificial Intelligence and the Environmental Crisis Book Review:

A radical and challenging book which argues that artificial intelligence needs a completely different set of foundations, based on ecological intelligence rather than human intelligence, if it is to deliver on the promise of a better world. This can usher in the greatest transformation in human history, an age of re-integration. Our very existence is dependent upon our context within the Earth System, and so, surely, artificial intelligence must also be grounded within this context, embracing emergence, interconnectedness and real-time feedback. We discover many positive outcomes across the societal, economic and environmental arenas and discuss how this transformation can be delivered. Key Features: Identifies a key weakness in current AI thinking, that threatens any hope of a better world. Highlights the importance of realizing that systems theory is an essential foundation for any technology that hopes to positively transform our world. Emphasizes the need for a radical new approach to AI, based on ecological systems. Explains why ecosystem intelligence, not human intelligence, offers the best framework for AI. Examines how this new approach will impact on the three arenas of society, environment and economics, ushering in a new age of re-integration.

Deep Learning in Gaming and Animations

Deep Learning in Gaming and Animations
Author: Vikas Chaudhary,Moolchand Sharma,Prerna Sharma,Deevyankar Agarwal
Publsiher: CRC Press
Total Pages: 174
Release: 2021-12-08
ISBN 10: 1000504379
ISBN 13: 9781000504378
Language: EN, FR, DE, ES & NL

Deep Learning in Gaming and Animations Book Review:

Over the last decade, progress in deep learning has had a profound and transformational effect on many complex problems, including speech recognition, machine translation, natural language understanding, and computer vision. As a result, computers can now achieve human-competitive performance in a wide range of perception and recognition tasks. Many of these systems are now available to the programmer via a range of so-called cognitive services. More recently, deep reinforcement learning has achieved ground-breaking success in several complex challenges. This book makes an enormous contribution to this beautiful, vibrant area of study: an area that is developing rapidly both in breadth and depth. Deep learning can cope with a broader range of tasks (and perform those tasks to increasing levels of excellence). This book lays a good foundation for the core concepts and principles of deep learning in gaming and animation, walking you through the fundamental ideas with expert ease. This book progresses in a step-by-step manner. It reinforces theory with a full-fledged pedagogy designed to enhance students' understanding and offer them a practical insight into its applications. Also, some chapters introduce and cover novel ideas about how artificial intelligence (AI), deep learning, and machine learning have changed the world in gaming and animation. It gives us the idea that AI can also be applied in gaming, and there are limited textbooks in this area. This book comprehensively addresses all the aspects of AI and deep learning in gaming. Also, each chapter follows a similar structure so that students, teachers, and industry experts can orientate themselves within the text. There are few books in the field of gaming using AI. Deep Learning in Gaming and Animations teaches you how to apply the power of deep learning to build complex reasoning tasks. After being exposed to the foundations of machine and deep learning, you will use Python to build a bot and then teach it the game's rules. This book also focuses on how different technologies have revolutionized gaming and animation with various illustrations.

Computer Psychotherapy Systems

Computer Psychotherapy Systems
Author: Morton Wagman
Publsiher: Routledge
Total Pages: 278
Release: 2018-05-15
ISBN 10: 1351062883
ISBN 13: 9781351062886
Language: EN, FR, DE, ES & NL

Computer Psychotherapy Systems Book Review:

Originally published in 1988, this was the first book to examine the development, application and evaluation of computer counselling and psychotherapy. Integrating concepts of artificial intelligence and psychotherapy, this book provided extensive research data that compared the human therapist to the computer therapist at the time. This title was intended for researchers, professionals, and students of psychotherapy and artificial intelligence. By exploring the automation of therapy and the design of empathetic software this book challenges counsellors and computer scientists to look at what may have been the most fascinating topic to arise in their fields for years to come.

Philosophy and Computer Science

Philosophy and Computer Science
Author: Timothy Colburn
Publsiher: Routledge
Total Pages: 224
Release: 2015-05-20
ISBN 10: 1317462831
ISBN 13: 9781317462835
Language: EN, FR, DE, ES & NL

Philosophy and Computer Science Book Review:

Colburn (computer science, U. of Minnesota-Duluth) has a doctorate in philosophy and an advanced degree in computer science; he's worked as a philosophy professor, a computer programmer, and a research scientist in artificial intelligence. Here he discusses the philosophical foundations of artificial intelligence; the new encounter of science and philosophy (logic, models of the mind and of reasoning, epistemology); and the philosophy of computer science (touching on math, abstraction, software, and ontology).

Machines Who Think

Machines Who Think
Author: Pamela McCorduck,Cli Cfe
Publsiher: CRC Press
Total Pages: 576
Release: 2004-03-17
ISBN 10: 1000065294
ISBN 13: 9781000065299
Language: EN, FR, DE, ES & NL

Machines Who Think Book Review:

This book is a history of artificial intelligence, that audacious effort to duplicate in an artifact what we consider to be our most important property—our intelligence. It is an invitation for anybody with an interest in the future of the human race to participate in the inquiry.

Machine Ethics and Robot Ethics

Machine Ethics and Robot Ethics
Author: Wendell Wallach,Peter Asaro
Publsiher: Routledge
Total Pages: 552
Release: 2020-09-10
ISBN 10: 1000108937
ISBN 13: 9781000108934
Language: EN, FR, DE, ES & NL

Machine Ethics and Robot Ethics Book Review:

Once the stuff of science fiction, recent progress in artificial intelligence, robotics, and machine learning means that these rapidly advancing technologies are finally coming into widespread use within everyday life. Such rapid development in these areas also brings with it a host of social, political and legal issues, as well as a rise in public concern and academic interest in the ethical challenges these new technologies pose. This volume is a collection of scholarly work from leading figures in the development of both robot ethics and machine ethics; it includes essays of historical significance which have become foundational for research in these two new areas of study, as well as important recent articles. The research articles selected focus on the control and governance of computational systems; the exploration of ethical and moral theories using software and robots as laboratories or simulations; inquiry into the necessary requirements for moral agency and the basis and boundaries of rights; and questions of how best to design systems that are both useful and morally sound. Collectively the articles ask what the practical ethical and legal issues, arising from the development of robots, will be over the next twenty years and how best to address these future considerations.

Data Science and Machine Learning

Data Science and Machine Learning
Author: Dirk P. Kroese,Zdravko Botev,Thomas Taimre,Radislav Vaisman
Publsiher: CRC Press
Total Pages: 510
Release: 2019-11-20
ISBN 10: 1000730778
ISBN 13: 9781000730777
Language: EN, FR, DE, ES & NL

Data Science and Machine Learning Book Review:

"This textbook is a well-rounded, rigorous, and informative work presenting the mathematics behind modern machine learning techniques. It hits all the right notes: the choice of topics is up-to-date and perfect for a course on data science for mathematics students at the advanced undergraduate or early graduate level. This book fills a sorely-needed gap in the existing literature by not sacrificing depth for breadth, presenting proofs of major theorems and subsequent derivations, as well as providing a copious amount of Python code. I only wish a book like this had been around when I first began my journey!" -Nicholas Hoell, University of Toronto "This is a well-written book that provides a deeper dive into data-scientific methods than many introductory texts. The writing is clear, and the text logically builds up regularization, classification, and decision trees. Compared to its probable competitors, it carves out a unique niche. -Adam Loy, Carleton College The purpose of Data Science and Machine Learning: Mathematical and Statistical Methods is to provide an accessible, yet comprehensive textbook intended for students interested in gaining a better understanding of the mathematics and statistics that underpin the rich variety of ideas and machine learning algorithms in data science. Key Features: Focuses on mathematical understanding. Presentation is self-contained, accessible, and comprehensive. Extensive list of exercises and worked-out examples. Many concrete algorithms with Python code. Full color throughout. The Authors: Dirk P. Kroese, PhD, is a Professor of Mathematics and Statistics at The University of Queensland. He has published over 120 articles and five books in a wide range of areas in mathematics, statistics, data science, machine learning, and Monte Carlo methods. He is a pioneer of the well-known Cross-Entropy method—an adaptive Monte Carlo technique, which is being used around the world to help solve difficult estimation and optimization problems in science, engineering, and finance. Zdravko Botev, PhD, is an Australian Mathematical Science Institute Lecturer in Data Science and Machine Learning with an appointment at the University of New South Wales in Sydney, Australia. He is the recipient of the 2018 Christopher Heyde Medal of the Australian Academy of Science for distinguished research in the Mathematical Sciences. Thomas Taimre, PhD, is a Senior Lecturer of Mathematics and Statistics at The University of Queensland. His research interests range from applied probability and Monte Carlo methods to applied physics and the remarkably universal self-mixing effect in lasers. He has published over 100 articles, holds a patent, and is the coauthor of Handbook of Monte Carlo Methods (Wiley). Radislav Vaisman, PhD, is a Lecturer of Mathematics and Statistics at The University of Queensland. His research interests lie at the intersection of applied probability, machine learning, and computer science. He has published over 20 articles and two books.