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| amazon data science intern: E-Revolution In Indian Higher Education With COVID-1 A. M. Rawani & A.K. Singh, The novel corona virus has changed the world in a very short time span. Almost all the sectors of the economy have been disrupted very badly. The Indian higher education sector has also been affected by the closure of the country. It's approximately seven months of the closure of the institution and still, the reopening of the institute in complete physical mode is not certain. The closure may affect supply of knowledgeable pass out graduates to support the other sector of the economy and ultimately hamper the nation-building process in the long run. Therefore, an effort has been made to suggest the strategic direction for the reestablishment of the Indian higher education processes in the post-COVID-19 outbreak. At first, the traditional method to accomplish higher education processes is presented. Thereafter, all possible ways that may be adopted by institutions to accomplish the Indian higher education are explored. The new suggested alternate method has few challenges too, which are also highlighted in one chapter of the book. Further, quality of online education is measured by conducting survey and findings are included in one of the chapter of the book. After that policy to govern the online education is suggested. Thereafter the preparedness to maintain the higher education process in the post-COIVD-19 pandemic is incorporated. Few strategies are also formulated based on the SWOT analysis of Indian higher education in regards to COVID-19 and presented in a separate chapter. At the end, a conceptual model is proposed to demonstrate the future of higher education. The book will provide strategic direction to the stakeholders of education sectors especially the Indian higher education sector to continue the education process in post COVID-19 outbreak and also be benefited with the e-revolution which has come in Indian higher education with COVID-19. |
| amazon data science intern: Revolution in Indian Higher Education with COVID-19 A. M. Rawani & A. K. Singh, The Novel Corona Virus has stopped all the economic sectors for a couple of weeks. The Higher Education sector has also been affected by the closure of the country. The closure is not certain and even after reopening of institutions, social distancing is going to be a norm. Therefore, the book is designed to suggest alternate methods for the reestablishment of educational processes in the post-COVID-19 outbreak. The suggested methods have few challenges so those challenges are also highlighted in one chapter of the book. Further, the preparedness of the institutions for the new normal is presented. At last, the strategies are formulated based on the SWOT analysis of higher education for the new normal. The suggested methods will not only help for the reestablishment of higher education in the post-COVID-19 outbreak but also it will help in grabbing the opportunity for the implementation of Education 4.0 earlier than expected. |
| amazon data science intern: Data Science for Business Foster Provost, Tom Fawcett, 2013-07-27 Annotation This broad, deep, but not-too-technical guide introduces you to the fundamental principles of data science and walks you through the data-analytic thinking necessary for extracting useful knowledge and business value from the data you collect. By learning data science principles, you will understand the many data-mining techniques in use today. More importantly, these principles underpin the processes and strategies necessary to solve business problems through data mining techniques. |
| amazon data science intern: How to Get Ahead in HR Kay Maddox-Daines, 2021-11-05 Have you ever thought about a career in HR? Or perhaps you are already working in HR and you are looking to progress? No matter your starting point, this book provides advice and guidance to help you achieve your goals. The HR profession is dynamic, and the opportunities to develop in the field have never been greater. Using a wide range of examples, skills-based exercises, quizzes and reflective activities, How to Get Ahead in HR prepares you to maximize your potential. Each chapter provides a variety of case study examples and action point lists. The book also introduces the field’s main professional bodies and explains the available options for gaining professional qualifications. |
| amazon data science intern: To the Cloud Vincent Mosco, 2015-11-17 Cloud computing and big data are arguably the most significant forces in information technology today. In the wake of revelations about National Security Agency (NSA) activities, many of which occur in the cloud, this book offers both enlightenment and a critical view. Vincent Mosco explores where the cloud originated, what it means, and how important it is for business, government and citizens. He describes the intense competition among cloud companies like Amazon and Google, the spread of the cloud to government agencies like the controversial NSA, and the astounding growth of entire cloud cities in China. Is the cloud the long-promised information utility that will solve many of the world's economic and social problems? Or is it just marketing hype? To the Cloud provides the first thorough analysis of the potential and the problems of a technology that may very well disrupt the world. |
| amazon data science intern: Becoming a Data Head Alex J. Gutman, Jordan Goldmeier, 2021-04-13 Turn yourself into a Data Head. You'll become a more valuable employee and make your organization more successful. Thomas H. Davenport, Research Fellow, Author of Competing on Analytics, Big Data @ Work, and The AI Advantage You've heard the hype around data—now get the facts. In Becoming a Data Head: How to Think, Speak, and Understand Data Science, Statistics, and Machine Learning, award-winning data scientists Alex Gutman and Jordan Goldmeier pull back the curtain on data science and give you the language and tools necessary to talk and think critically about it. You'll learn how to: Think statistically and understand the role variation plays in your life and decision making Speak intelligently and ask the right questions about the statistics and results you encounter in the workplace Understand what's really going on with machine learning, text analytics, deep learning, and artificial intelligence Avoid common pitfalls when working with and interpreting data Becoming a Data Head is a complete guide for data science in the workplace: covering everything from the personalities you’ll work with to the math behind the algorithms. The authors have spent years in data trenches and sought to create a fun, approachable, and eminently readable book. Anyone can become a Data Head—an active participant in data science, statistics, and machine learning. Whether you're a business professional, engineer, executive, or aspiring data scientist, this book is for you. |
| amazon data science intern: Signal Processing and Machine Learning Theory Paulo S.R. Diniz, 2023-07-10 Signal Processing and Machine Learning Theory, authored by world-leading experts, reviews the principles, methods and techniques of essential and advanced signal processing theory. These theories and tools are the driving engines of many current and emerging research topics and technologies, such as machine learning, autonomous vehicles, the internet of things, future wireless communications, medical imaging, etc. - Provides quick tutorial reviews of important and emerging topics of research in signal processing-based tools - Presents core principles in signal processing theory and shows their applications - Discusses some emerging signal processing tools applied in machine learning methods - References content on core principles, technologies, algorithms and applications - Includes references to journal articles and other literature on which to build further, more specific, and detailed knowledge |
| amazon data science intern: Geospatial Data Science in Healthcare for Society 5.0 Pradeep Kumar Garg, Nitin K. Tripathi, Martin Kappas, Loveleen Gaur, 2022-03-10 The book introduces a variety of latest techniques designed to represent, enhance, and empower multi-disciplinary approaches of geographic information system (GIS), artificial intelligence (AI), deep learning (DL), machine learning, and cloud computing research in healthcare. It provides a unique compendium of the current and emerging use of geospatial data for healthcare and reflects the diversity, complexity, and depth and breadth of this multi-disciplinary area. This book addresses various aspects of how smart healthcare devices can be used to detect and analyze diseases. Further, it describes various tools and techniques to evaluate the efficacy, suitability, and efficiency of geospatial data for health-related applications. It features illustrative case studies, including future applications and healthcare challenges. This book is beneficial for computer science and engineering students and researchers, medical professionals, and anyone interested in using geospatial data in healthcare. It is also intended for experts, offering them a valuable retrospective and a global vision for the future, as well as for non-experts who are curious to learn about this important subject. The book presents an effort to draw how we can build health-related applications using geospatial big data and their subsequent analysis. |
| amazon data science intern: Data Scientist Diploma (master's level) - City of London College of Economics - 6 months - 100% online / self-paced City of London College of Economics, Overview This diploma course covers all aspects you need to know to become a successful Data Scientist. Content - Getting Started with Data Science - Data Analytic Thinking - Business Problems and Data Science Solutions - Introduction to Predictive Modeling: From Correlation to Supervised Segmentation - Fitting a Model to Data - Overfitting and Its Avoidance - Similarity, Neighbors, and Clusters Decision Analytic Thinking I: What Is a Good Model? - Visualizing Model Performance - Evidence and Probabilities - Representing and Mining Text - Decision Analytic Thinking II: Toward Analytical Engineering - Other Data Science Tasks and Techniques - Data Science and Business Strategy - Machine Learning: Learning from Data with Your Machine. - And much more Duration 6 months Assessment The assessment will take place on the basis of one assignment at the end of the course. Tell us when you feel ready to take the exam and we’ll send you the assignment questions. Study material The study material will be provided in separate files by email / download link. |
| amazon data science intern: Strategies in Biomedical Data Science Jay A. Etchings, 2017-01-03 An essential guide to healthcare data problems, sources, and solutions Strategies in Biomedical Data Science provides medical professionals with much-needed guidance toward managing the increasing deluge of healthcare data. Beginning with a look at our current top-down methodologies, this book demonstrates the ways in which both technological development and more effective use of current resources can better serve both patient and payer. The discussion explores the aggregation of disparate data sources, current analytics and toolsets, the growing necessity of smart bioinformatics, and more as data science and biomedical science grow increasingly intertwined. You'll dig into the unknown challenges that come along with every advance, and explore the ways in which healthcare data management and technology will inform medicine, politics, and research in the not-so-distant future. Real-world use cases and clear examples are featured throughout, and coverage of data sources, problems, and potential mitigations provides necessary insight for forward-looking healthcare professionals. Big Data has been a topic of discussion for some time, with much attention focused on problems and management issues surrounding truly staggering amounts of data. This book offers a lifeline through the tsunami of healthcare data, to help the medical community turn their data management problem into a solution. Consider the data challenges personalized medicine entails Explore the available advanced analytic resources and tools Learn how bioinformatics as a service is quickly becoming reality Examine the future of IOT and the deluge of personal device data The sheer amount of healthcare data being generated will only increase as both biomedical research and clinical practice trend toward individualized, patient-specific care. Strategies in Biomedical Data Science provides expert insight into the kind of robust data management that is becoming increasingly critical as healthcare evolves. |
| amazon data science intern: The Central Amazon Floodplain Wolfgang J. Junk, 2013-03-09 Floodplains are ecosystems which are driven by periodic inundation and oscillation between terrestrial and aquatic phases. An understanding of such pulsing systems is only possible by studying both phases and linking the results into an integrated overview. This book presents the results of a 15-year study of the structure and function of one of the largest tropical floodplains, the Amazon River floodplain. It covers qualitative aspects, e.g., adaptations of aquatic and terrestrial organisms to the flood pulse as well as quantitative aspects, e.g., studies of biomass, primary production, decomposition, and nutrient cycles. The authors interpret their findings and the most important data from other studies under an integrating scientific concept, the Flood Pulse Concept. |
| amazon data science intern: Internet Science Ioannis Kompatsiaris, Jonathan Cave, Anna Satsiou, Georg Carle, Antonella Passani, Efstratios Kontopoulos, Sotiris Diplaris, Donald McMillan, 2017-10-30 This book constitutes the proceedings of the 4th International Conference on Internet Science held in Thessaloniki, Greece, in November 2017. The 34 papers presented were carefully reviewed and selected for inclusion in this volume. They were organized in topical sections named: next generation community engagement; online policy, politics and co-creation; understanding and empowering digital citizens; data-driven research and design; social media and online interaction. |
| amazon data science intern: Biologia , 1947 |
| amazon data science intern: Physical and biogeochemical processes driving methane sources, sinks and emissions in aquatic systems: The past, present and future under global change Daniel F. McGinnis, Yves T. Prairie, Hans-Peter Grossart, Tonya DelSontro, 2023-06-08 |
| amazon data science intern: Cloud Computing for Teaching and Learning: Strategies for Design and Implementation Chao, Lee, 2012-04-30 With its cost efficiency, enabling of collaboration and sharing of resources, and its ability to improve access, cloud computing is likely to play a big role in the classrooms of tomorrow. Cloud Computing for Teaching and Learning: Strategies for Design and Implementation provides the latest information about cloud development and cloud applications in teaching and learning. The book alsos include empirical research findings in these areas for professionals and researchers working in the field of e-learning who want to implement teaching and learning with cloud computing, as well as provide insights and support to executives concerned with cloud development and cloud applications in e-learning communities and environments. |
| amazon data science intern: Big Data, Big Challenges: A Healthcare Perspective Mowafa Househ, Andre W. Kushniruk, Elizabeth M. Borycki, 2019-02-26 This is the first book to offer a comprehensive yet concise overview of the challenges and opportunities presented by the use of big data in healthcare. The respective chapters address a range of aspects: from health management to patient safety; from the human factor perspective to ethical and economic considerations, and many more. By providing a historical background on the use of big data, and critically analyzing current approaches together with issues and challenges related to their applications, the book not only sheds light on the problems entailed by big data, but also paves the way for possible solutions and future research directions. Accordingly, it offers an insightful reference guide for health information technology professionals, healthcare managers, healthcare practitioners, and patients alike, aiding them in their decision-making processes; and for students and researchers whose work involves data science-related research issues in healthcare. |
| amazon data science intern: Chronica Botanica , 1935 |
| amazon data science intern: Scientific and Technical Aerospace Reports , 1984 |
| amazon data science intern: Spatial Analysis for Radar Remote Sensing of Tropical Forests Gianfranco D. De Grandi, Elsa Carla De Grandi, 2021-03-24 Uniquely focused on specific techniques that provide multi-resolution spatial and temporal analysis of forest structure characteristics and changes. Examines several large and important international remote sensing projects aimed at documenting entire tropical ecosystems. Provides novel wavelet methods for tropical forest structural measures. Includes Python code for a suite of wavelet based time-series and single set InSAR coherence and backscatter speckle filters, available to download. |
| amazon data science intern: Tropical Agroforestry Alain Atangana, Damase Khasa, Scott Chang, Ann Degrande, 2013-10-29 Agroforestry is recognized as a sustainable land-use management in the tropics, as it provides environmental-friendly ecosystems; it also provides people with their every day need for food and cash. Since the recognition of agroforestry as a science, curricula have been developed for agroforestry programs for undergraduate and graduate trainings in Universities. Therefore, there is an urgent need to develop and make available educational material. This textbook strives to provide up-to-date information on tropical agroforestry to serve as educational material in the tropical context. The authoritative textbook of Nair (1993) on agroforestry was published 18 years ago, and before the advent of tree domestication, an important agroforestry practice today. In addition, many other research activities, such as carbon sequestration and integrated pest management, have been included in the agroforestry agenda. This textbook is intended for agroforestry students, teachers, and practitioners. |
| amazon data science intern: Vegetation, Water, Humans and the Climate Pavel Kabat, Martin Claussen, Paul A. Dirmeyer, John H.C. Gash, Lelys Bravo de Guenni, Michel Meybeck, Roger Pielke, Charles J. Vörösmarty, Ronald W.A. Hutjes, Sabine Lütkemeier, 2012-12-06 A state-of-the-art overview of the influence of terrestrial vegetation and soils within the Earth system. The text deals especially with interactions between the terrestrial biosphere and the atmosphere via the hydrological cycle and their interlinkage with anthropogenic activities. Measurements gathered in integrated field experiments in the Sahel, the Amazon, North America and South-east Asia confirm the importance of these interactions. Observations are complemented by modelling studies, including regional models that simulate flows and transport in river catchments, coupled land-cover and regional climate systems, and Earth-system and global circulation models. Water, nutrient and sediment fluxes in river basins are also discussed and are shown to be highly impacted and regulated by humans through land use, pollution and river engineering. Finally, the book discusses environmental vulnerability and methodologies for assessing the risks associated with regional and global climatic and environmental variability and change. The results reported in this book are based on the research work of many individual scientists and teams around the world associated with the objectives of the IGBP-BAHC and WCRP-GEWEX international research programmes. |
| amazon data science intern: Handbook of Mobile Data Privacy Aris Gkoulalas-Divanis, Claudio Bettini, 2018-10-26 This handbook covers the fundamental principles and theory, and the state-of-the-art research, systems and applications, in the area of mobility data privacy. It is primarily addressed to computer science and statistics researchers and educators, who are interested in topics related to mobility privacy. This handbook will also be valuable to industry developers, as it explains the state-of-the-art algorithms for offering privacy. By discussing a wide range of privacy techniques, providing in-depth coverage of the most important ones, and highlighting promising avenues for future research, this handbook also aims at attracting computer science and statistics students to this interesting field of research. The advances in mobile devices and positioning technologies, together with the progress in spatiotemporal database research, have made possible the tracking of mobile devices (and their human companions) at very high accuracy, while supporting the efficient storage of mobility data in data warehouses, which this handbook illustrates. This has provided the means to collect, store and process mobility data of an unprecedented quantity, quality and timeliness. As ubiquitous computing pervades our society, user mobility data represents a very useful but also extremely sensitive source of information. On one hand, the movement traces that are left behind by the mobile devices of the users can be very useful in a wide spectrum of applications such as urban planning, traffic engineering, and environmental pollution management. On the other hand, the disclosure of mobility data to third parties may severely jeopardize the privacy of the users whose movement is recorded, leading to abuse scenarios such as user tailing and profiling. A significant amount of research work has been conducted in the last 15 years in the area of mobility data privacy and important research directions, such as privacy-preserving mobility data management, privacy in location sensing technologies and location-based services, privacy in vehicular communication networks, privacy in location-based social networks, privacy in participatory sensing systems which this handbook addresses.. This handbook also identifies important privacy gaps in the use of mobility data and has resulted to the adoption of international laws for location privacy protection (e.g., in EU, US, Canada, Australia, New Zealand, Japan, Singapore), as well as to a large number of interesting technologies for privacy-protecting mobility data, some of which have been made available through open-source systems and featured in real-world applications. |
| amazon data science intern: Vertebrate Biology Donald W. Linzey, 2012-02-13 Arranged logically to follow the typical course format, Vertebrate Biology leaves students with a full understanding of the unique structure, function, and living patterns of the subphylum that includes our own species. |
| amazon data science intern: Fundamental and Supportive Technologies for 5G Mobile Networks El-Kader, Sherine Mohamed Abd, Hussein, Hanan, 2019-11-29 Mobile wireless communication systems have affected every aspect of life. By providing seamless connectivity, these systems enable almost all the smart devices in the world to communicate with high speed throughput and extremely low latency. The next generation of cellular mobile communications, 5G, aims to support the tremendous growth of interconnected things/devices (i.e., internet of things [IoT]) using the current technologies and extending them to be used in higher frequencies to cope with the huge number of different devices. In addition, 5G will provide massive capacity, high throughput, lower end-to-end delay, green communication, cost reduction, and extended coverage area. Fundamental and Supportive Technologies for 5G Mobile Networks provides detailed research on technologies used in 5G, their benefits, practical designs, and recent challenges and focuses on future applications that could exploit 5G network benefits. The content within this publication examines cellular communication, data transmission, and high-speed communication. It is designed for network analysts, IT specialists, industry professionals, software engineers, researchers, academicians, students, and scientists. |
| amazon data science intern: Machine Learning Alexander Jung, 2022-01-21 Machine learning (ML) has become a commonplace element in our everyday lives and a standard tool for many fields of science and engineering. To make optimal use of ML, it is essential to understand its underlying principles. This book approaches ML as the computational implementation of the scientific principle. This principle consists of continuously adapting a model of a given data-generating phenomenon by minimizing some form of loss incurred by its predictions. The book trains readers to break down various ML applications and methods in terms of data, model, and loss, thus helping them to choose from the vast range of ready-made ML methods. The book’s three-component approach to ML provides uniform coverage of a wide range of concepts and techniques. As a case in point, techniques for regularization, privacy-preservation as well as explainability amount to specific design choices for the model, data, and loss of a ML method. |
| amazon data science intern: Data Simplification Jules J. Berman, 2016-03-10 Data Simplification: Taming Information With Open Source Tools addresses the simple fact that modern data is too big and complex to analyze in its native form. Data simplification is the process whereby large and complex data is rendered usable. Complex data must be simplified before it can be analyzed, but the process of data simplification is anything but simple, requiring a specialized set of skills and tools. This book provides data scientists from every scientific discipline with the methods and tools to simplify their data for immediate analysis or long-term storage in a form that can be readily repurposed or integrated with other data. Drawing upon years of practical experience, and using numerous examples and use cases, Jules Berman discusses the principles, methods, and tools that must be studied and mastered to achieve data simplification, open source tools, free utilities and snippets of code that can be reused and repurposed to simplify data, natural language processing and machine translation as a tool to simplify data, and data summarization and visualization and the role they play in making data useful for the end user. - Discusses data simplification principles, methods, and tools that must be studied and mastered - Provides open source tools, free utilities, and snippets of code that can be reused and repurposed to simplify data - Explains how to best utilize indexes to search, retrieve, and analyze textual data - Shows the data scientist how to apply ontologies, classifications, classes, properties, and instances to data using tried and true methods |
| amazon data science intern: 6 Figures in 60 Days Jay Ford, 6 Figures in 60 Days is the top strategy guide to help you find a job in data as a Data Engineer, Data Analyst, or Data Scientist. In this guide you'll learn how to create a strategy, actually get interviews at your dream companies, and how to succeed in the interview and get a job offer. Data Scientists have used these proven methods to get job offers paying over $200,000 per year at companies like Google, Facebook, Uber, Airbnb, Netflix, and many more. Whether you're a new graduate or someone looking for a career change (and to get paid what you're worth), this guide is for you. |
| amazon data science intern: PNEC Jacques Clavier, Michel Joanny, François Carlotti, 2006 Synthèse des activités du programme national pour l'environnement côtier (PNEC) qui développe des recherches fondamentales sur les zones côtières de France métropolitaine et d'outre-mer. Les activités concernent les cycles biogéochimiques, la dynamique des populations, les efflorescences algales toxiques, facteurs hydroclimatiques et variabilité, microorganismes, gouvernance environnementale, etc. |
| amazon data science intern: Information Retrieval: A Biomedical and Health Perspective William Hersh, 2020-07-22 This extensively revised 4th edition comprehensively covers information retrieval from a biomedical and health perspective, providing an understanding of the theory, implementation, and evaluation of information retrieval systems in the biomedical and health domain. It features revised chapters covering the theory, practical applications, evaluation and research directions of biomedical and health information retrieval systems. Emphasis is placed on defining where current applications and research systems are heading in a range of areas, including their use by clinicians, consumers, researchers, and others. Information Retrieval: A Biomedical and Health Perspective provides a practically applicable guide to range of techniques for information retrieval and is ideal for use by both the trainee and experienced biomedical informatician seeking an up-to-date resource on the topic. |
| amazon data science intern: Index Medicus , 2004 Vols. for 1963- include as pt. 2 of the Jan. issue: Medical subject headings. |
| amazon data science intern: Teevir - The Power of Love Karanvir Bohra, 2019-08-26 Teevir - The Power of Love is an autobiography of Hindi Television and Bollywood star, Karanvir Bohra, depicting his love life, relationship and family. The book touches the heart core of Karanvir’s wife, model Teejay Sidhu. |
| amazon data science intern: Cybersecurity Issues, Challenges, and Solutions in the Business World Verma, Suhasini, Vyas, Vidhisha, Kaushik, Keshav, 2022-10-14 Cybersecurity threats have become ubiquitous and continue to topple every facet of the digital realm as they are a problem for anyone with a gadget or hardware device. However, there are some actions and safeguards that can assist in avoiding these threats and challenges; further study must be done to ensure businesses and users are aware of the current best practices. Cybersecurity Issues, Challenges, and Solutions in the Business World considers cybersecurity innovation alongside the methods and strategies for its joining with the business industry and discusses pertinent application zones such as smart city, e-social insurance, shrewd travel, and more. Covering key topics such as blockchain, data mining, privacy, security issues, and social media, this reference work is ideal for security analysts, forensics experts, business owners, computer scientists, policymakers, industry professionals, researchers, scholars, academicians, practitioners, instructors, and students. |
| amazon data science intern: Economics and Security Implications of Cloud Computing Sudipta Sahana, 2019-08-26 To readers who could be merely surfing the pages to catch a quick glimpse as to what cloud computing is all about,to the more serious and corporate users,the book is expected to provide at least a humble modicum of nourishment to set them off on a journey that would no doubt help them achieve success to the cloud and beyond.The book focus on the technical aspects of cloud insofar as speeding up the process of grasping the concerned facts and the underlying economic benefits of cloud computing. |
| amazon data science intern: Environmental Challenges Shimson Belkin, 2012-12-06 In the summer of 1999, an international group of experts convened in Jerusalem, Israel, in order to define the major environmental challenges facing humanity at the dawn of the new millennium and - where possible - propose ways of addressing them. Almost 50 selected articles are collected in the present book, which constitutes a striking interdisciplinary combination of state-of-the-art science with the latest views on environmental law, education, and international cooperation. Whilst a major fraction of the book is devoted to water-related issues (water quality monitoring, water and wastewater treatment, water-based international cooperation, and more), other sections deal with timely topics relating to air pollution, biodiversity, conservation, and education. The book is intended for environmental scientists, professionals, and students of all disciplines. |
| amazon data science intern: Serving the Customer Thomas Aichner, 2023-01-01 This book examines key aspects of selling and the sale of goods and services in B2C and B2B. Renowned scholars and practitioners contributed their expertise with a wide range of articles about how to serve customers and the role of selling and sales. Their research results and practical experiences can be used as a basis for further research as well as implemented by small, medium-sized and globally operating companies. The 13 chapters are organized in four parts, starting with (I) value creation and selling services, followed by (II) business negotiations and sales in B2B, (III) using technology and innovation to increase sales and study consumers, and finishing with two chapters about sales competencies on the one hand and a critical piece about consumption on the other hand under (IV) selling more or consuming less?The European perspective adopted in the book provides both international researchers and entrepreneurs, as well as those already working in Europe, with a better understanding of the market and the dynamics in the consumer and business sectors. Excerpt from the content The meaning of value creation and value-in-use in selling services The vital role of pricing, customer participation, and the responsibilities of front-line employees How to negotiate the sale in B2B and purchase of three distinct types of business services How, why, and under which circumstances retailers are considering machine learning forecasting methods to increase sales Proposal for an autonomous consumer business, which is about fully automating transactions between a seller and a buyer How the Net Promoter Score works and why it can be both beneficial but also viewed skeptically Which specific competencies sales professionals must possess to succeed and sell well The downsides and threats of our economic system with a single-minded focus on the growth of sales or revenues |
| amazon data science intern: Education in Public Health: 2022 Stefano Orlando, 2024-03-06 |
| amazon data science intern: Creators of Intelligence Dr. Alex Antic, 2023-04-28 Get your hands on the secret recipe for a rewarding career in data science from 18 AI leaders Purchase of the print or Kindle book includes a free PDF eBook Key Features Gain access to insights and expertise from data science leaders shared in one-on-one interviews Get pragmatic advice on how to become a successful data scientist and data science leader Receive guidance to overcome common pitfalls and challenges and ensure your projects’ success Book DescriptionA Gartner prediction in 2018 led to numerous articles stating that 85% of AI and machine learning projects fail to deliver.” Although it's unclear whether a mass extinction event occurred for AI implementations at the end of 2022, the question remains: how can I ensure that my project delivers value and doesn't become a statistic? The demand for data scientists has only grown since 2015, when they were dubbed the new “rock stars” of business. But how can you become a data science rock star? As a new senior data leader, how can you build and manage a productive team? And what is the path to becoming a chief data officer? Creators of Intelligence is a collection of in-depth, one-on-one interviews where Dr. Alex Antic, a recognized data science leader, explores the answers to these questions and more with some of the world's leading data science leaders and CDOs. Interviews with: Cortnie Abercrombie, Edward Santow, Kshira Saagar, Charles Martin, Petar Veličković, Kathleen Maley, Kirk Borne, Nikolaj Van Omme, Jason Tamara Widjaja, Jon Whittle, Althea Davis, Igor Halperin, Christina Stathopoulos, Angshuman Ghosh, Maria Milosavljevic, Dr. Meri Rosich, Dat Tran, and Stephane Doyen.What you will learn Find out where to start with AI ethics and how to evolve from frameworks to practice Discover tips on building and managing a data science team Receive advice for organizations seeking to build or mature a data science capability Stop beating your head against a brick wall – pick the environment that'll support your success Read stories from successful data leaders as they reflect on the successes and failures in data strategy development Understand how business areas can best work with data science teams to drive business value Who this book is for This book is for a wide range of audience, from people working in the data science industry through to data science leaders and chief data officers. This book will also cater to senior business leaders interested in learning how data and analytics are used to support decision-making in different domains and sectors. Students contemplating a career in artificial intelligence (AI) and the broader data sector will also find this book useful, along with anyone developing and delivering university-level education, including undergraduate, postgraduate, and executive programs. |
| amazon data science intern: Design Strategies and Innovations in Multimedia Presentations Hai-Jew, Shalin, 2015-07-07 Multimedia is currently used in a variety of contexts, from social interaction to educational and business settings. The richness of the multimedia experience and its ability to enhance information sharing in a variety of settings makes it a valuable tool. Design Strategies and Innovations in Multimedia Presentations brings together the latest scholarly research and proven strategies for designing and implementing multimedia technologies for various applications, with an emphasis on education. Featuring a selection of highly informative chapters on the pervasiveness of multimedia and best methods for developing presentations using this technology, this publication is an essential reference source for researchers, practitioners, and professionals. This publication features timely, research based chapters on the use of digital media tools and applications including digital visualization, e-learning, human-computer interaction, online presentations, semantic web, social media data, and technology in education. |
| amazon data science intern: Multimedia Security Frank Y. Shih, 2017-12-19 Multimedia Security: Watermarking, Steganography, and Forensics outlines essential principles, technical information, and expert insights on multimedia security technology used to prove that content is authentic and has not been altered. Illustrating the need for improved content security as the Internet and digital multimedia applications rapidly evolve, this book presents a wealth of everyday protection application examples in fields including multimedia mining and classification, digital watermarking, steganography, and digital forensics. Giving readers an in-depth overview of different aspects of information security mechanisms and methods, this resource also serves as an instructional tool on how to use the fundamental theoretical framework required for the development of extensive advanced techniques. The presentation of several robust algorithms illustrates this framework, helping readers to quickly master and apply fundamental principles. Presented case studies cover: The execution (and feasibility) of techniques used to discover hidden knowledge by applying multimedia duplicate mining methods to large multimedia content Different types of image steganographic schemes based on vector quantization Techniques used to detect changes in human motion behavior and to classify different types of small-group motion behavior Useful for students, researchers, and professionals, this book consists of a variety of technical tutorials that offer an abundance of graphs and examples to powerfully convey the principles of multimedia security and steganography. Imparting the extensive experience of the contributors, this approach simplifies problems, helping readers more easily understand even the most complicated theories. It also enables them to uncover novel concepts involved in the implementation of algorithms, which can lead to the discovery of new problems and new means of solving them. |
| amazon data science intern: Auf dem Weg zu Netto-Null-Zielen Neha Sharma, Prithwis Kumar De, 2024-04-17 Dieses Buch diskutiert die Verwendung von Technologie, Data Science und Open Data, um das Netto-Null-Emissionsziel des Pariser Abkommens zum Klimawandel zu erreichen. Es gibt viele Diskussionen über Nachhaltigkeit und Lösungen für den Klimawandel, um die negativen Auswirkungen zu mildern. Die Verwendung von Technologiehebeln zur Bewältigung von Klimaherausforderungen wird jedoch selten als der bedeutendste Katalysator betrachtet. Die verfügbare Forschung in diesem Bereich ist im Allgemeinen qualitativer Natur, bei der Technologie und Daten noch nicht genutzt wurden. Durch den Einsatz von KI/ML sagt das Buch die Klimawandelfolgen aufgrund von Investitionen in den fossilen Brennstoffsektor voraus, schätzt die CO2-Emissionen des Verkehrssektors, prognostiziert die durch nicht erneuerbare Energiequellen verursachte durchschnittliche Landtemperatur und segmentiert indische Bundesstaaten auf der Grundlage von Haushalts-CO2-Emissionen. Die Forscher, Entscheidungsträger, Studenten, Lehrer, Bildungseinrichtungen, Regierungen, Regulierungsbehörden, Unternehmen, internationale Organisationen usw. werden immens von diesem Buch profitieren. Darüber hinaus soll dieses Buch dazu dienen, den nächsten Generationen eine dekarbonisierte Umgebung und eine bessere Zukunft zu bieten. |
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