Download or read book The Gratitude Project written by Jeremy Adam Smith and published by New Harbinger Publications. This book was released on 2020-09-01 with total page 145 pages. Available in PDF, EPUB and Kindle. Book excerpt: In our fractured, “me-first” world, the science and practice of thankfulness could be just the antidote we need. Gratitude is powerful: not only does it feel good, it’s also been proven to increase our well-being in myriad ways. The result of a multiyear collaboration between the Greater Good Science Center and Robert Emmons of the University of California, Davis, The Gratitude Project explores gratitude’s deep roots in human psychology—how it evolved and how it affects our brain—as well as the transformative impact it has on creating a meaningful life and a better world. With essays based on new findings from this original research and written by renowned positive psychologists and public figures, this important book delves deeply into the neuroscience and psychology of gratitude, and explores how thankfulness can be developed and applied, both personally and in communities large and small, for the benefit of all. With contributions from luminaries such as Sonja Lyubomirsky, W. Kamau Bell, Arianna Huffington, and many more, this edited volume offers more than just platitudes—it offers a blueprint for a new and better world.
Download or read book Data Science and SDGs written by Bikas Kumar Sinha and published by Springer Nature. This book was released on 2021-08-13 with total page 197 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book presents contributions on statistical models and methods applied, for both data science and SDGs, in one place. Measuring and controlling data of SDGs, data driven measurement of progress needs to be distributed to stakeholders. In this situation, the techniques used in data science, specially, in the big data analytics, play an important role rather than the traditional data gathering and manipulation techniques. This book fills this space through its twenty contributions. The contributions have been selected from those presented during the 7th International Conference on Data Science and Sustainable Development Goals organized by the Department of Statistics, University of Rajshahi, Bangladesh; and cover topics mainly on SDGs, bioinformatics, public health, medical informatics, environmental statistics, data science and machine learning. The contents of the volume would be useful to policymakers, researchers, government entities, civil society, and nonprofit organizations for monitoring and accelerating the progress of SDGs.
Download or read book Data Science written by Yang Wang and published by Springer Nature. This book was released on 2022-08-10 with total page 520 pages. Available in PDF, EPUB and Kindle. Book excerpt: This two volume set (CCIS 1628 and 1629) constitutes the refereed proceedings of the 8th International Conference of Pioneering Computer Scientists, Engineers and Educators, ICPCSEE 2022 held in Chengdu, China, in August, 2022. The 65 full papers and 26 short papers presented in these two volumes were carefully reviewed and selected from 261 submissions. The papers are organized in topical sections on: Big Data Management and Applications; Data Security and Privacy; Applications of Data Science; Infrastructure for Data Science; Education Track; Regulatory Technology in Finance.
Download or read book Start with Gratitude written by Happy Books Happy Books Hub and published by . This book was released on 2018-08-28 with total page 100 pages. Available in PDF, EPUB and Kindle. Book excerpt: Gratitude: The Simplest and Most Effective Key to Happiness Can you transform your life in 5 minutes a day or less? Is happiness that easily achievable? Life can be stressful and filled with problems and anxiety. But it is also filled with beauty, and joy, and fulfillment. If you focus on the latter you will start noticing the stressful events less and begin enjoying and treasuring every day more. Start With Gratitude journal will help you achieve just that. It will help you start your day happy, filled with gratefulness and appreciation for the positive things (big or small) in your life. It will re-center you and provide balance and positivity to your life. What you will love about this journal: The excellent quotes at the top of each spread. The way it is structured - clearly and simply to make it really easy to use. The clearly divided morning and evening sections - writing in the morning the things you are thankful for, and in the evening small things for that specific day to celebrate. This makes gratitude and positive thinking more tangible and real. The variety and inspiration - every evening section is different, prompting you to notice and appreciate different things every day so you will not get tired of the same pages over and over again. The beautiful design The thought provoking entries Its size (7.5 x 9.25 in) - small enough to carry around and big enough to provide enough space for everything you want to jot down. The date entry possibility so you will have flexibility to miss a day and not feel guilty about it. It really takes just 5 minutes a day or less. Practicing gratitude is one of the simplest and most effective things you can do to transform your life. Research shows that people who regularly take time to notice things they are grateful for enjoy better sleep, better relationships, greater resolve towards achieving goals, show more compassion and kindness, and are overall happier. Start With Gratitude journal will help you cultivate that attitude of gratefulness, making it your habit to focus on the blessings you have in your life and increase your overall well-being and life satisfaction. Get your copy now, even gift one to a friend and start your journey to happiness together.
Download or read book Data Science and Emerging Technologies written by Yap Bee Wah and published by Springer Nature. This book was released on 2023-03-31 with total page 562 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book presents selected papers from International Conference on Data Science and Emerging Technologies (DaSET 2022), held online at UNITAR International University, Malaysia, during December 20–21, 2022. This book aims to present current research and applications of data science and emerging technologies. The deployment of data science and emerging technology contributes to the achievement of the Sustainable Development Goals for social inclusion, environmental sustainability, and economic prosperity. Data science and emerging technologies such as artificial intelligence and blockchain are useful for various domains such as marketing, health care, finance, banking, environmental, and agriculture. An important grand challenge in data science is to determine how developments in computational and social-behavioral sciences can be combined to improve well-being, emergency response, sustainability, and civic engagement in a well-informed, data-driven society. The topics of this book include, but not limited to: artificial intelligence, big data technology, machine and deep learning, data mining, optimization algorithms, blockchain, Internet of Things (IoT), cloud computing, computer vision, cybersecurity, augmented and virtual reality, cryptography, and statistical learning.
Download or read book Sustainable Statistical and Data Science Methods and Practices written by O. Olawale Awe and published by Springer Nature. This book was released on 2024-01-05 with total page 433 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume gathers papers presented at the LISA 2020 Sustainability Symposium in Kumasi, Ghana, May 2–6, 2022. They focus on sustainable methods and practices of using statistics and data science to address real-world problems. From utilizing social media for statistical collaboration to predicting obesity among rural women, and from analyzing inflation in Nigeria using machine learning to teaching data science in Africa, this book explores the intersection of data, statistics, and sustainability. With practical applications, code snippets, and case studies, this book offers valuable insights for researchers, policymakers, and data enthusiasts alike. The LISA 2020 Global Network aims to enhance statistical and data science capability in developing countries through the creation of a network of collaboration laboratories (also known as “stat labs”). These stat labs are intended to serve as engines for development by training the next generation of collaborative statisticians and data scientists, providing research infrastructure for researchers, data producers, and decision-makers, and enabling evidence-based decision-making that has a positive impact on society. The research conducted at LISA 2020 focuses on practical methods and applications for sustainable growth of statistical capacity in developing nations.
Download or read book Statistical Models and Methods for Data Science written by Leonardo Grilli and published by Springer Nature. This book was released on 2023-07-24 with total page 186 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book focuses on methods and models in classification and data analysis and presents real-world applications at the interface with data science. Numerous topics are covered, ranging from statistical inference and modelling to clustering and factorial methods, and from directional data analysis to time series analysis and small area estimation. The applications deal with new developments in a variety of fields, including medicine, finance, engineering, marketing, and cyber risk. The contents comprise selected and peer-reviewed contributions presented at the 13th Scientific Meeting of the Classification and Data Analysis Group of the Italian Statistical Society, CLADAG 2021, held (online) in Florence, Italy, on September 9–11, 2021. CLADAG promotes advanced methodological research in multivariate statistics with a special focus on data analysis and classification, and supports the exchange and dissemination of ideas, methodological concepts, numerical methods, algorithms, and computational and applied results at the interface between classification and data science.
Download or read book Data Science and Machine Learning Applications in Subsurface Engineering written by Daniel Asante Otchere and published by CRC Press. This book was released on 2024-02-06 with total page 322 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book covers unsupervised learning, supervised learning, clustering approaches, feature engineering, explainable AI and multioutput regression models for subsurface engineering problems. Processing voluminous and complex data sets are the primary focus of the field of machine learning (ML). ML aims to develop data-driven methods and computational algorithms that can learn to identify complex and non-linear patterns to understand and predict the relationships between variables by analysing extensive data. Although ML models provide the final output for predictions, several steps need to be performed to achieve accurate predictions. These steps, data pre-processing, feature selection, feature engineering and outlier removal, are all contained in this book. New models are also developed using existing ML architecture and learning theories to improve the performance of traditional ML models and handle small and big data without manual adjustments. This research-oriented book will help subsurface engineers, geophysicists, and geoscientists become familiar with data science and ML advances relevant to subsurface engineering. Additionally, it demonstrates the use of data-driven approaches for salt identification, seismic interpretation, estimating enhanced oil recovery factor, predicting pore fluid types, petrophysical property prediction, estimating pressure drop in pipelines, bubble point pressure prediction, enhancing drilling mud loss, smart well completion and synthetic well log predictions.
Download or read book Improving Equity in Data Science written by Colby Tofel-Grehl and published by Taylor & Francis. This book was released on 2024-06-03 with total page 208 pages. Available in PDF, EPUB and Kindle. Book excerpt: Improving Equity in Data Science offers a comprehensive look at the ways in which data science can be conceptualized and engaged more equitably within the K-16 classroom setting, moving beyond merely broadening participation in educational opportunities. This book makes the case for field wide definitions, literacies and practices for data science teaching and learning that can be commonly discussed and used, and provides examples from research of these practices and literacies in action. Authors share stories and examples of research wherein data science advances equity and empowerment through the critical examination of social, educational, and political topics. In the first half of the book, readers will learn how data science can deliberately be embedded within K-12 spaces to empower students to use it to identify and address inequity. The latter half will focus on equity of access to data science learning opportunities in higher education, with a final synthesis of lessons learned and presentation of a 360-degree framework that links access, curriculum, and pedagogy as multiple facets collectively essential to comprehensive data science equity work. Practitioners and teacher educators will be able to answer the question, “how can data science serve to move equity efforts in computing beyond basic inclusion to empowerment?” whether the goal is to simply improve definitions and approaches to research on data science or support teachers of data science in creating more equitable and inclusive environments within their classrooms.
Download or read book Data Mining written by Laurence A. F. Park and published by Springer Nature. This book was released on 2022-12-05 with total page 256 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 20th Australasian Conference on Data Mining, AusDM 2022, held in Western Sydney, Australia, during December 12–15, 2022. The 17 full papers included in this book were carefully reviewed and selected from 44 submissions. They were organized in topical sections as research track and application track.
Download or read book Situating Data Science written by Michelle Hoda Wilkerson and published by Routledge. This book was released on 2022-04-19 with total page 188 pages. Available in PDF, EPUB and Kindle. Book excerpt: The emerging field of Data Science has had a large impact on science and society. This book explores how one distinguishing feature of Data Science – its focus on data collected from social and environmental contexts within which learners often find themselves deeply embedded – suggests serious implications for learning and education. Drawing from theories of learning and identity development in the learning sciences, this volume investigates the impacts of these complex relationships on how learners think about, use, and share data, including their understandings of data in light of history, race, geography, and politics. More than just using ‘real world examples’ to motivate students to work with data, this book demonstrates how learners’ relationships to data shape how they approach those data with agency, as part of their social and cultural lives. Together, the contributions offer a vision of how the learning sciences can contribute to a more expansive, socially aware, and transformative Data Science Education. The chapters in this book were originally published as a special issue of the Journal of the Learning Sciences.
Download or read book Thank You Power written by Deborah Norville and published by Thomas Nelson. This book was released on 2007-10-02 with total page 176 pages. Available in PDF, EPUB and Kindle. Book excerpt: Thank You. Can such small words hold life changing power? Yes! Deborah Norville's groundbreaking and persuasive book argues that gratitude is the secret key to unlocking your full life potential. Rooted in science, presented from a spiritual perspective, Thank You Power details the surprising life improvements that can stem from the practice of gratitude. Norville brings together for the first time the behavioral and psychological research that prove what people of faith have long known: giving thanks brings life blessings. Beginning with those two small words, thank you, Norville shows how you can be happier and more resilient, have better relationships, improved health, and less stress. The list of benefits is long. You'll exercise more, be more creative, bounce back more quickly from adversity, have a higher immune response, live longer, be better liked by others, and have more creativity in solving problems. Each of these outcomes is backed up by published research. The key? Gratitude. Ever heard the one about being able to catch more flies with honey than vinegar? If you want to eliminate many of the negatives of daily stress and better deal with the realities of your day, then read on. Deborah Norville may have found the real secret to happiness. You'll find the answer inside. --Dr. Mehmet Oz, Vice Chairman and Professor of Surgery, Columbia University; and Author, You Series Deborah Norville has proven that resilience is a big part of success. Success is power-and Thank You Power is aptitude and attitude at their most efficient and, therefore, most effective. Deborah has done a wonderful job with a subject that is important for all of us. --Donald J. Trump We've all heard it before-count your blessings, concentrate on the positive, say thank you-but actually putting it in to practice and becoming a more grateful person can be easily pushed aside in this hurried world. Deborah Norville, in her latest book, Thank You Power, clearly lays out easy steps to put you on the path to a more positive lifestyle. --Anthony Robbins, Best-Selling Author, Awaken the Giant Within and Unlimited Power Your mother was right! You should say thank you about almost everything! Why? Because as Deborah Norville's new book proves, being positive and grateful leads to a happier, healthier, more successful life. And by the way, thank you for reading this, and thank you, Deborah, for writing this book. --Joan Rivers, Entertainer What a refreshing, positive read! Thank You Power makes me want to do everything I can to be grateful for not only the big things but also the sometimes hard details of my life. This is a formula that can make the whole world a happier place in which to live! --Harold G. Koenig, MD, Professor of Psychiatry and Behavioral Sciences and Associate Professor of Medicine, Duke University Medical Center People who never complain, groan, or worry don't need this book. (They do need a lesson on honesty.) The other 99 percent of us will benefit from Deborah's practical and hopeful words. We need this message. --Max Lucado, Pastor, Oak Hills Church; and Best-Selling Author, 3:16
Download or read book Soft Computing in Data Science written by Marina Yusoff and published by Springer Nature. This book was released on 2023-03-16 with total page 313 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 7th International Conference on Soft Computing in Data Science, SCDS 2023, which was held virtually in January 2023. The 21 revised full papers presented were carefully reviewed and selected from 61 submissions. The papers are organized in topical sections on artificial intelligence techniques and applications; computing and optimization; data analytics and technologies; data mining and image processing; mathematical and statistical learning.
Download or read book COVID 19 Integrating Artificial Intelligence Data Science Mathematics Medicine and Public Health Epidemiology Neuroscience Neurorobotics and Biomedical Science in Pandemic Management volume II written by Atefeh Abedini and published by Frontiers Media SA. This book was released on 2024-02-29 with total page 1002 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Educational Data Science written by Alejandro Peña-Ayala and published by Springer Nature. This book was released on 2023 with total page 299 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book describes theoretical elements, practical approaches, and specialized tools that systematically organize, characterize, and analyze big data gathered from educational affairs and settings. Moreover, the book shows several inference criteria to leverage and produce descriptive, explanatory, and predictive closures to study and understand education phenomena at in classroom and online environments. This is why diverse researchers and scholars contribute with valuable chapters to ground with well-sounded theoretical and methodological constructs in the novel field of Educational Data Science (EDS), which examines academic big data repositories, as well as to introduces systematic reviews, reveals valuable insights, and promotes its application to extend its practice. EDS as a transdisciplinary field relies on statistics, probability, machine learning, data mining, and analytics, in addition to biological, psychological, and neurological knowledge about learning science. With this in mind, the book is devoted to those that are in charge of educational management, educators, pedagogues, academics, computer technologists, researchers, and postgraduate students, who pursue to acquire a conceptual, formal, and practical landscape of how to deploy EDS to build proactive, real- time, and reactive applications that personalize education, enhance teaching, and improve learning!
Download or read book Workshops at 18th International Conference on Intelligent Environments IE2022 written by H.H. Alvarez Valera and published by IOS Press. This book was released on 2022-07-05 with total page 396 pages. Available in PDF, EPUB and Kindle. Book excerpt: The term Intelligent Environments (IEs) refers to physical spaces in which information and communication technologies are interwoven with sensing technologies, innovative user interfaces, robotics and artificial intelligence to create interactive spaces which increase the awareness and enhance the experience of those occupying them. The growing IE community is rooted in academia, but increasingly involves practitioners. It explores the core ideas of IEs as well as the factors necessary to make them a reality, such as energy efficiency, the computational constraints of edge devices and privacy issues. This book presents papers from Workshops held during the 18th International Conference on Intelligent Environments, IE2022, held as a hybrid conference in Biarritz, France, from 20 to 23 June 2022. The conference is now recognized as a major annual venue in the field of IE. It offers a truly international forum for the exchange of information and ideas, and welcomes contributions from all technically active regions of the planet. Included here are 35 papers from the 1st International Workshop on Sentiment Analysis and Emotion Recognition for Social Robots (SENTIRobots’22); 1st International Workshop on Edge AI for Smart Agriculture (EAISA’22); 2nd International Workshop on Artificial Intelligence and Machine Learning for Emerging Topics (ALLEGET’22); 11th International Workshop on the Reliability of Intelligent Environments (WoRIE’22); 2nd International Workshop on Self-Learning in Intelligent Environments (SeLIE’22); 5th Workshop on Citizen Centric Smart Cities Solutions (CCSCS’22); 11th International Workshop on Intelligent Environments Supporting Healthcare and Well-being (WISHWell’22) Exploring some of the latest research and developments in the field, the book will be of interest to all those working with intelligent environments and its associated technologies.
Download or read book Sustainametrics envisioning a sustainable future with data science written by Shutaro Takeda and published by Frontiers Media SA. This book was released on 2023-03-08 with total page 239 pages. Available in PDF, EPUB and Kindle. Book excerpt: