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Автор: Коллектив авторов

Конспект лекций соответствует требованиям Государственного образовательного стандарта высшего профессионального образования РФ и предназначен для освоения студентами вузов специальной дисциплины «Базы данных». Лаконичное и четкое изложение материала, продуманный отбор необходимых тем позволяют быстро и качественно подготовиться к семинарам, зачетам и экзаменам по данному предмету.

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Автор: Мэрилин Монро

Эта сенсационная книга станет открытием для всех поклонников Мэрилин Монро. Это не просто мемуары; больше, чем дневники – это предельно откровенная исповедь самой желанной женщины XX века, которая не просто опровергает расхожие мифы, а полностью переворачивает все прежние представления о «главной блондинке Голливуда». Ее считали капризной пустышкой, глупой куклой, которой не хватило мозгов даже на то, чтобы закончить школу, – но с этих страниц с вами говорит поразительно умная, на редкость начитанная, по-настоящему талантливая женщина. Ей предлагали роли распутных красоток, мечтающих выйти замуж за миллионера, – а она тайком репетировала шекспировскую Офелию и Грушеньку из «Братьев Карамазовых». Ей поклонялись как иконе, ее величали главным секс-символом эпохи – а она возненавидела свой кинообраз и свое роскошное тело… Откройте эту книгу, вслушайтесь в живой голос Мэрилин, всмотритесь в ее рисунки и фотографии – загляните в сердце самой красивой, желанной и несчастной женщины XX века.

Серия: Уникальная автобиография женщины-эпохи

Исполнители: Ирина Жданова

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Автор: Группа авторов

An essential resource for scientists designing new energy materials for the vast landscape of solar energy conversion as well as materials processing and characterization Based on the new and fundamental research on novel energy materials with tailor-made photonic properties, the role of materials engineering has been to provide much needed support in the development of photovoltaic devices. Advanced Energy Materials offers a unique, state-of-the-art look at the new world of novel energy materials science, shedding light on the subject’s vast multi-disciplinary approach The book focuses particularly on photovoltaics, efficient light sources, fuel cells, energy-saving technologies, energy storage technologies, nanostructured materials as well as innovating materials and techniques for future nanoscale electronics. Pathways to future development are also discussed. Critical, cutting-edge subjects are addressed, including: Non-imaging focusing heliostat; state-of-the-art of nanostructures Metal oxide semiconductors and their nanocomposites Superionic solids; polymer nanocomposites; solid electrolytes; advanced electronics Electronic and optical properties of lead sulfide High-electron mobility transistors and light-emitting diodes Anti-ferroelectric liquid crystals; PEEK membrane for fuel cells Advanced phosphors for energy-efficient lighting Molecular computation photovoltaics and photocatalysts Photovoltaic device technology and non-conventional energy applications Readership The book is written for a large and broad readership including researchers and university graduate students from diverse backgrounds such as chemistry, materials science, physics, and engineering working in the fields of nanotechnology, photovoltaic device technology, and non-conventional energy.

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Автор: Группа авторов

A guide to the role of static state estimation in the mitigation of potential system failures With contributions from a noted panel of experts on the topic, Advances in Electric Power and Energy: Static State Estimation addresses the wide-range of issues concerning static state estimation as a main energy control function and major tool for evaluating prevailing operating conditions in electric power systems worldwide. This book is an essential guide for system operators who must be fully aware of potential threats to the integrity of their own and neighboring systems. The contributors provide an overview of the topic and review common threats such as cascading black-outs to model-based anomaly detection to the operation of micro-grids and much more. The book also includes a discussion of an effective mathematical programming approach to state estimation in power systems. Advances in Electric Power and Energy reviews the most recent developments in the field and: Offers an introduction to the topic to help non-experts (and professionals) get up-to-date on static state estimation Covers the essential information needed to understand power system state estimation written by experts on the subject Discusses a mathematical programming approach Written for electric power system planners, operators, consultants, power system software developers, and academics, Advances in Electric Power and Energy is the authoritative guide to the topic with contributions from experts who review the most recent developments.

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Автор: Mathilde Janier

This book is an introduction to the linguistic concepts of argumentation relevant for argument mining, an important research and development activity which can be viewed as a highly complex form of information retrieval, requiring high-level natural language processing technology. While the first four chapters develop the linguistic and conceptual aspects of argument expression, the last four are devoted to their application to argument mining. These chapters investigate the facets of argument annotation, as well as argument mining system architectures and evaluation. How annotations may be used to develop linguistic data and how to train learning algorithms is outlined. A simple implementation is then proposed. The book ends with an analysis of non-verbal argumentative discourse. Argument Mining is an introductory book for engineers or students of linguistics, artificial intelligence and natural language processing. Most, if not all, the concepts of argumentation crucial for argument mining are carefully introduced and illustrated in a simple manner.

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Автор: Группа авторов

This book comprehensively covers the topic of mining biomedical text, images and visual features towards information retrieval. Biomedical and Health Informatics is an emerging field of research at the intersection of information science, computer science, and health care and brings tremendous opportunities and challenges due to easily available and abundant biomedical data for further analysis. The aim of healthcare informatics is to ensure the high-quality, efficient healthcare, better treatment and quality of life by analyzing biomedical and healthcare data including patient's data, electronic health records (EHRs) and lifestyle. Previously it was a common requirement to have a domain expert to develop a model for biomedical or healthcare; however, recent advancements in representation learning algorithms allows us to automatically to develop the model. Biomedical Image Mining, a novel research area, due to its large amount of biomedical images increasingly generates and stores digitally. These images are mainly in the form of computed tomography (CT), X-ray, nuclear medicine imaging (PET, SPECT), magnetic resonance imaging (MRI) and ultrasound. Patients' biomedical images can be digitized using data mining techniques and may help in answering several important and critical questions related to health care. Image mining in medicine can help to uncover new relationships between data and reveal new useful information that can be helpful for doctors in treating their patients.

Исполнители: Jonathan Keeble

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Автор: Michael G. Solomon

Get ahead of the curve—learn about big data on the blockchain Blockchain came to prominence as the disruptive technology that made cryptocurrencies work. Now, data pros are using blockchain technology for faster real-time analysis, better data security, and more accurate predictions. Blockchain Data Analytics For Dummies is your quick-start guide to harnessing the potential of blockchain. Inside this book, technologists, executives, and data managers will find information and inspiration to adopt blockchain as a big data tool. Blockchain expert Michael G. Solomon shares his insight on what the blockchain is and how this new tech is poised to disrupt data. Set your organization on the cutting edge of analytics, before your competitors get there! Learn how blockchain technologies work and how they can integrate with big data Discover the power and potential of blockchain analytics Establish data models and quickly mine for insights and results Create data visualizations from blockchain analysis Discover how blockchains are disrupting the data world with this exciting title in the trusted For Dummies line!

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Автор: Группа авторов

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Автор: Группа авторов

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Автор: Ted Coombs

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Автор: Gordon S. Linoff

A practical guide to data mining using SQL and Excel Data Analysis Using SQL and Excel, 2nd Edition shows you how to leverage the two most popular tools for data query and analysis—SQL and Excel—to perform sophisticated data analysis without the need for complex and expensive data mining tools. Written by a leading expert on business data mining, this book shows you how to extract useful business information from relational databases. You'll learn the fundamental techniques before moving into the «where» and «why» of each analysis, and then learn how to design and perform these analyses using SQL and Excel. Examples include SQL and Excel code, and the appendix shows how non-standard constructs are implemented in other major databases, including Oracle and IBM DB2/UDB. The companion website includes datasets and Excel spreadsheets, and the book provides hints, warnings, and technical asides to help you every step of the way. Data Analysis Using SQL and Excel, 2nd Edition shows you how to perform a wide range of sophisticated analyses using these simple tools, sparing you the significant expense of proprietary data mining tools like SAS. Understand core analytic techniques that work with SQL and Excel Ensure your analytic approach gets you the results you need Design and perform your analysis using SQL and Excel Data Analysis Using SQL and Excel, 2nd Edition shows you how to best use the tools you already know to achieve expert results.

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Автор: Hwaiyu Geng

Provides the fundamentals, technologies, and best practices in designing, constructing and managing mission critical, energy efficient data centers Organizations in need of high-speed connectivity and nonstop systems operations depend upon data centers for a range of deployment solutions. A data center is a facility used to house computer systems and associated components, such as telecommunications and storage systems. It generally includes multiple power sources, redundant data communications connections, environmental controls (e.g., air conditioning, fire suppression) and security devices. With contributions from an international list of experts, The Data Center Handbook instructs readers to: Prepare strategic plan that includes location plan, site selection, roadmap and capacity planning Design and build «green» data centers, with mission critical and energy-efficient infrastructure Apply best practices to reduce energy consumption and carbon emissions Apply IT technologies such as cloud and virtualization Manage data centers in order to sustain operations with minimum costs Prepare and practice disaster reovery and business continuity plan The book imparts essential knowledge needed to implement data center design and construction, apply IT technologies, and continually improve data center operations.

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Автор: Patrick Schuermann

A dream come true for those looking to improve their data fluency Analytical data is a powerful tool for growing companies, but what good is it if it hides in the shadows? Bring your data to the forefront with effective visualization and communication approaches, and let Data Fluency: Empowering Your Organization with Effective Communication show you the best tools and strategies for getting the job done right. Learn the best practices of data presentation and the ways that reporting and dashboards can help organizations effectively gauge performance, identify areas for improvement, and communicate results. Topics covered in the book include data reporting and communication, audience and user needs, data presentation tools, layout and styling, and common design failures. Those responsible for analytics, reporting, or BI implementation will find a refreshing take on data and visualization in this resource, as will report, data visualization, and dashboard designers. Conquer the challenge of making valuable data approachable and easy to understand Develop unique skills required to shape data to the needs of different audiences Full color book links to bonus content at juiceanalytics.com Written by well-known and highly esteemed authors in the data presentation community Data Fluency: Empowering Your Organization with Effective Communication focuses on user experience, making reports approachable, and presenting data in a compelling, inspiring way. The book helps to dissolve the disconnect between your data and those who might use it and can help make an impact on the people who are most affected by data. Use Data Fluency today to develop the skills necessary to turn data into effective displays for decision-making.

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Автор: Alan R. Simon

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Автор: Группа авторов

Addresses the impacts of data mining on education and reviews applications in educational research teaching, and learning This book discusses the insights, challenges, issues, expectations, and practical implementation of data mining (DM) within educational mandates. Initial series of chapters offer a general overview of DM, Learning Analytics (LA), and data collection models in the context of educational research, while also defining and discussing data mining’s four guiding principles— prediction, clustering, rule association, and outlier detection. The next series of chapters showcase the pedagogical applications of Educational Data Mining (EDM) and feature case studies drawn from Business, Humanities, Health Sciences, Linguistics, and Physical Sciences education that serve to highlight the successes and some of the limitations of data mining research applications in educational settings. The remaining chapters focus exclusively on EDM’s emerging role in helping to advance educational research—from identifying at-risk students and closing socioeconomic gaps in achievement to aiding in teacher evaluation and facilitating peer conferencing. This book features contributions from international experts in a variety of fields. Includes case studies where data mining techniques have been effectively applied to advance teaching and learning Addresses applications of data mining in educational research, including: social networking and education; policy and legislation in the classroom; and identification of at-risk students Explores Massive Open Online Courses (MOOCs) to study the effectiveness of online networks in promoting learning and understanding the communication patterns among users and students Features supplementary resources including a primer on foundational aspects of educational mining and learning analytics Data Mining and Learning Analytics: Applications in Educational Research is written for both scientists in EDM and educators interested in using and integrating DM and LA to improve education and advance educational research.

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Автор: Группа авторов

DATA MINING AND MACHINE LEARNING APPLICATIONS The book elaborates in detail on the current needs of data mining and machine learning and promotes mutual understanding among research in different disciplines, thus facilitating research development and collaboration. Data, the latest currency of today’s world, is the new gold. In this new form of gold, the most beautiful jewels are data analytics and machine learning. Data mining and machine learning are considered interdisciplinary fields. Data mining is a subset of data analytics and machine learning involves the use of algorithms that automatically improve through experience based on data. Massive datasets can be classified and clustered to obtain accurate results. The most common technologies used include classification and clustering methods. Accuracy and error rates are calculated for regression and classification and clustering to find actual results through algorithms like support vector machines and neural networks with forward and backward propagation. Applications include fraud detection, image processing, medical diagnosis, weather prediction, e-commerce and so forth. The book features: A review of the state-of-the-art in data mining and machine learning, A review and description of the learning methods in human-computer interaction, Implementation strategies and future research directions used to meet the design and application requirements of several modern and real-time applications for a long time, The scope and implementation of a majority of data mining and machine learning strategies. A discussion of real-time problems. Audience Industry and academic researchers, scientists, and engineers in information technology, data science and machine and deep learning, as well as artificial intelligence more broadly.

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Автор: Daniel T. Larose

Learn methods of data analysis and their application to real-world data sets This updated second edition serves as an introduction to data mining methods and models, including association rules, clustering, neural networks, logistic regression, and multivariate analysis. The authors apply a unified “white box” approach to data mining methods and models. This approach is designed to walk readers through the operations and nuances of the various methods, using small data sets, so readers can gain an insight into the inner workings of the method under review. Chapters provide readers with hands-on analysis problems, representing an opportunity for readers to apply their newly-acquired data mining expertise to solving real problems using large, real-world data sets. Data Mining and Predictive Analytics, Second Edition: Offers comprehensive coverage of association rules, clustering, neural networks, logistic regression, multivariate analysis, and R statistical programming language Features over 750 chapter exercises, allowing readers to assess their understanding of the new material Provides a detailed case study that brings together the lessons learned in the book Includes access to the companion website, www.dataminingconsultant.com, with exclusive password-protected instructor content Data Mining and Predictive Analytics, Second Edition will appeal to computer science and statistic students, as well as students in MBA programs, and chief executives.

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Автор: Lillian Pierson

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Автор: Lillian Pierson

Make smart business decisions with your data by design!  Take a deep dive to understand how developing your data science dogma can drive your business—ya dig? Every phone, tablet, computer, watch, and camera generates data—we’re overwhelmed with the stuff. That’s why it’s become increasingly important that you know how to derive useful insights from the data you have to understand which piece of data in the sea of data is important and which isn’t (trust us: not as scary as it sounds!), and to rely on said data to make critical business decisions. Enter the world of data science: the practice of using scientific methods, processes, and algorithms to gain knowledge and insights from any type of data.  Data Science For Dummies  provides a comprehensive introduction in that friendly and approachable way you’ve come to know from Dummies. Your new go-to guide breaks down this vast topic into three smaller parts—big data, data science, and data engineering—and then shows you how to combine those areas to produce value and make informed decisions to drive business growth. It’s also filled with real-world examples and applications that you can apply to your situation.  Data Science For Dummies  demonstrates:  How natural language processing works Strategies around data science How to make decisions using probabilities Ways to display your data using a visualization model How to incorporate various programming languages into your strategy Whether you’re a professional or a student,  Data Science For Dummies  will get you caught up on all the latest data trends. Find out how to ask the pressing questions you need your data to answer by picking up your copy today.

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Автор: Chantal D. Larose

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Автор: Pushpak Sarkar

Data as a Service shows how organizations can leverage “data as a service” by providing real-life case studies on the various and innovative architectures and related patterns Comprehensive approach to introducing data as a service in any organization A reusable and flexible SOA based architecture framework Roadmap to introduce ‘big data as a service’ for potential clients Presents a thorough description of each component in the DaaS reference architecture so readers can implement solutions

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Автор: Pamela Baker

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Автор: Pamela Baker

Learn to use, and not be used by, data to make more insightful decisions  The availability of data and various forms of AI unlock countless possibilities for business decision makers. But what do you do when you feel pressured to cede your position in the decision-making process altogether?  Decision Intelligence For Dummies  pumps the brakes on the growing trend to take human beings out of the decision loop and walks you through the best way to make data-informed but human-driven decisions. The book shows you how to achieve maximum flexibility by using every available resource, and not just raw data, to make the most insightful decisions possible.  In this timely book, you’ll learn to:  Make data a means to an end, rather than an end in itself, by expanding your decision-making inquiries Find a new path to solid decisions that includes, but isn’t dominated, by quantitative data Measure the results of your new framework to prove its effectiveness and efficiency and expand it to a whole team or company Perfect for business leaders in technology and finance,  Decision Intelligence For Dummies  is ideal for anyone who recognizes that data is not the only powerful tool in your decision-making toolbox. This book shows you how to be guided, and not ruled, by the data.

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Автор: David Bredel

Исполнители: Santiago Ziesmer

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Автор: Группа авторов

As a guide for pharmaceutical professionals to the issues and practices of drug discovery toxicology, this book integrates and reviews the strategy and application of tools and methods at each step of the drug discovery process. • Guides researchers as to what drug safety experiments are both practical and useful • Covers a variety of key topics – safety lead optimization, in vitro-in vivo translation, organ toxicology, ADME, animal models, biomarkers, and –omics tools • Describes what experiments are possible and useful and offers a view into the future, indicating key areas to watch for new predictive methods • Features contributions from firsthand industry experience, giving readers insight into the strategy and execution of predictive toxicology practices

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Автор: Alizabeth Calder

An essential guide for board members and executives who need to understand the impact of digital on their thinking and decision making Duty of Care: An Executive's Guide for Corporate Boards in the Digital Era offers a much needed guide for board directors and leaders who need to get up-to-speed and close their digital knowledge gap in order to make the right decisions about digital technology investment and deployments. Written in easy-to-read language, this book targets directors and executives who want to protect themselves from risks ranging from massive cyber security breaches to digital infrastructure investment mistakes. Most board members don’t have the information they need to understand digital information systems, modern high-speed networks, and rapidly evolving software and hardware ecosystems. They also don’t have the time to seek out or filter what they need from the many diverse sources. Their lack of knowledge can lead to disastrous decisions that can cost shareholders billions of dollars in lost income or risk liability. Written by a globally recognized experienced business executive and expert in cyber security, this essential guide and blueprint can serve the strategic and governance needs of every company. Written by an noted expert in cyber security and digital strategy Designed to be accessible for board members unfamiliar with digital technology, with case studies and smart questions to support leaders on every topic Helps board directors, corporate officers, and corporate investors with the digital knowledge needed to make informed decisions Duty of Care is a comprehensive yet accessible book that helps board members close their “digital knowledge gap” in order to better serve their corporations.

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Автор: Enrique Chaij

Dondequiera que usted lea este libro, encontrar? un comentario humano o una propuesta concreta que encender? su anhelo de superaci?n personal. Y la palabra ser? f?cilmente comprensible, ya que siempre ir? acompa?ada de la an?cdota, la ilustraci?n, la par?bola o la informaci?n oportuna, que arrojar?n luz y har?n m?s cautivante la lectura.

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Автор: Michael G. Solomon

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Автор: Supun Kamburugamuve

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Автор: Hyunjoung Lee

Fundamentals of Big Data Network Analysis for Research and Industry Hyunjoung Lee, Institute of Green Technology, Yonsei University, Republic of Korea Il Sohn, Material Science and Engineering, Yonsei University, Republic of Korea Presents the methodology of big data analysis using examples from research and industry There are large amounts of data everywhere, and the ability to pick out crucial information is increasingly important. Contrary to popular belief, not all information is useful; big data network analysis assumes that data is not only large, but also meaningful, and this book focuses on the fundamental techniques required to extract essential information from vast datasets. Featuring case studies drawn largely from the iron and steel industries, this book offers practical guidance which will enable readers to easily understand big data network analysis. Particular attention is paid to the methodology of network analysis, offering information on the method of data collection, on research design and analysis, and on the interpretation of results. A variety of programs including UCINET, NetMiner, R, NodeXL, and Gephi for network analysis are covered in detail. Fundamentals of Big Data Network Analysis for Research and Industry looks at big data from a fresh perspective, and provides a new approach to data analysis. This book: Explains the basic concepts in understanding big data and filtering meaningful data Presents big data analysis within the networking perspective Features methodology applicable to research and industry Describes in detail the social relationship between big data and its implications Provides insight into identifying patterns and relationships between seemingly unrelated big data Fundamentals of Big Data Network Analysis for Research and Industry will prove a valuable resource for analysts, research engineers, industrial engineers, marketing professionals, and any individuals dealing with accumulated large data whose interest is to analyze and identify potential relationships among data sets.

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Автор: Группа авторов

Industry 4.0 Vision for the Supply of Energy and Materials Explore the impact of Industry 4.0 technologies on the supply chain with this authoritative text written by a leader in his field In Industry 4.0 Vision for the Supply of Energy and Materials, distinguished researcher and editor, Dr. Mahdi Sharifzadeh, delivers thematic, analytic, and applied discussions of the Industry 4.0 vision for supply chain design and operation. The book compiles all current aspects and emerging notions of Industry 4.0 into clusters of “enablers” and “analytics” of Supply Chain 4.0. Their multifaceted and highly interconnected nature is discussed at length, as are their diverse range of applications. You will discover uses of these new technologies ranging from the supply of conventional energy networks to renewables, pharmaceuticals, and additive manufacturing. You will also learn about their implications for economic prosperity and environmental sustainability. For each sector, this book scrutinizes current industrial practice and discusses developing concepts. Finally, the book concludes with potential future research directions of interest to industry practitioners and academics alike. Readers will also benefit from the inclusion of: A thorough introduction to connectivity through wireless communications and remote sensors An exploration of blockchains and smart contracts, as well as robotics and automation and cloud computing Practical discussions of supply chain analytics, including big data, machine-learning, and artificial intelligence, as well as supply chain modeling, optimization, and control A concise treatment of Industry 4.0 applications in supply chain design and operation, including the circular economy and the power industry An analysis of the oil, gas, and petrochemical industry, the pharmaceutical industry, and additive manufacturing Perfect for PhD-level and Postdoctoral researchers and industrial researchers, Industry 4.0 Vision for the Supply of Energy and Materials will also earn a place in the libraries of working professionals with an interest in the quantitative analysis of Supply Chain 4.0 concepts and techniques.

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Автор: Marc Freund

Nach seiner dramatischen Reise ?ber die Weltmeere zwingt ein Unwetter Phileas Fogg und seine Begleiterin Maud Brewster, in ihrem Beiboot eine unbekannte Insel anzulaufen. Ausgerechnet dort sto?en sie auf Spuren, die nur Foggs verschwundene Frau Aouda hinterlassen haben kann. Doch bei dem Versuch, sie auf der Insel ausfindig zu machen, ger?t Fogg in eine gef?hrliche Falle. Welche Rolle spielt der Plantagenbesitzer Cook, und mit welchen furchtbaren M?chten hat dieser Mann sich eingelassen? Unter dem Klang von Voodoo-Trommeln kommt es im labyrinthartigen Tunnelsystem unterhalb der Insel zu einer dramatischen Auseinandersetzung mit Feinden, die kurz davor stehen, ihre dunklen Ziele zu erreichen.

Исполнители: Alexander Turrek

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Автор: W. Dirk Raat

A comparative history of the relocation and removal of indigenous societies in the Greater American Southwest during the mid-nineteenth century    Lost Worlds of 1863: Relocation and Removal of American Indians in the Central Rockies and the Greater Southwest  offers a unique comparative narrative approach to the diaspora experiences of the Apaches, O’odham and Yaqui in Arizona and Sonora, the Navajo and Yavapai in Arizona, the Shoshone of Utah, the Utes of Colorado, the Northern Paiutes of Nevada and California, and other indigenous communities in the region. Focusing on the events of the year 1863, W. Dirk Raat provides an in-depth examination of the mid-nineteenth century genocide and devastation of the American Indian.  Addressing the loss of both the identity and the sacred landscape of indigenous peoples, the author compares various kinds of relocation between different indigenous groups ranging from the removal and assimilation policies of the United States government regarding the Navajo and Paiute people, to the outright massacre and extermination of the Bear River Shoshone. The book is organized around detailed individual case studies that include extensive histories of the pre-contact, Spanish, and Mexican worlds that created the context for the pivotal events of 1863. This important volume:  Narrates the history of Indian communities such as the Yavapai, Apache, O'odham, and Navajo both before and after 1863 Addresses how the American Indian has been able to survive genocide, and in some cases thrive in the present day Discusses topics including Indian slavery and Lincoln’s Emancipation Proclamation, the Yaqui deportation, Apache prisoners of war, and Great Basin tribal politics Explores Indian ceremonial rites and belief systems to illustrate the relationship between sacred landscapes and personal identity Features sub-chapters on topics such as the Hopi-Navajo land controversy and Native American boarding schools Includes numerous maps and illustrations, contextualizing the content for readers  Lost Worlds of 1863: Relocation and Removal of American Indians in the Central Rockies and the Greater Southwest  is essential reading for academics, students, and general readers with interest in Western history, Native American history, and the history of Indian-White relations in the United States and Mexico.

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Автор: Francesca Lazzeri

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Автор: Francesca Lazzeri

Learn how to apply the principles of machine learning to  time series modeling with this indispensable resource   Machine Learning for Time Series Forecasting with Python  is an incisive and straightforward examination of one of the most crucial elements of decision-making in finance, marketing, education, and healthcare: time series modeling.  Despite the centrality of time series forecasting, few business analysts are familiar with the power or utility of applying machine learning to time series modeling. Author Francesca Lazzeri, a distinguished machine learning scientist and economist, corrects that deficiency by providing readers with comprehensive and approachable explanation and treatment of the application of machine learning to time series forecasting.  Written for readers who have little to no experience in time series forecasting or machine learning, the book comprehensively covers all the topics necessary to:  Understand time series forecasting concepts, such as stationarity, horizon, trend, and seasonality Prepare time series data for modeling Evaluate time series forecasting models’ performance and accuracy Understand when to use neural networks instead of traditional time series models in time series forecasting  Machine Learning for Time Series Forecasting with Python  is full real-world examples, resources and concrete strategies to help readers explore and transform data and develop usable, practical time series forecasts.  Perfect for entry-level data scientists, business analysts, developers, and researchers, this book is an invaluable and indispensable guide to the fundamental and advanced concepts of machine learning applied to time series modeling.

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Автор: Tina Tower

Discover how to launch a profitable online course from scratch  In  Million Dollar Micro Business: How To Turn Your Expertise Into A Digital Online Course , entrepreneur and author Tina Tower delivers a new and smarter way to do business that avoids huge overheads and large capital investments. Fueled by recent innovations in technology and shifts in consumer behavior, the accomplished author shows you a new way to have a big impact with few resources.  You’ll learn how to create a digital course based on expertise you’ve gained through your life, business, academic work, and career. The book is a practical and tangible guide to getting started and offers a proven framework and case studies of people who have scaled courses into seven-figure ventures.  This important book teaches you:  How to turn your passion and expertise into profit, using what you know to create a global, online course Why bigger is not always better, and how less overhead and investment is often a good thing for a scalable business An alternative to the 9-5 hustle and grind of a traditional workplace Real-life case studies from people who have been on this journey before Perfect for entrepreneurs, seasoned professionals, educated experts, and anyone else interested in sharing their knowledge with the world around them,  Million Dollar Micro Business  is an indispensable guide to creating a lucrative online course from scratch.

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Автор: Jeremy Adamson

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Автор: Elizabeth G. Slade

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Автор: Nick Bracks

Learn how to create new daily habits that build happiness and reduce stress  In  Move Your Mind , acclaimed actor, entrepreneur, and mental health advocate Nick Bracks delivers the practical tools and lessons that will help you make small, but measurable, daily changes to foster positive, lasting improvements to your mental health. Told through the author’s own experiences with mental illness, this book offers a holistic approach to improving your mental health, and shows readers how to make positive lifestyle changes in areas like exercise, nutrition, sleep, mindfulness, and meditation. The book offers: Valuable and insightful case studies of real and well-known people who took control of and improved their mental wellbeing Key research findings from industry leaders in mindfulness, meditation, memory, mental health, psychology, and performance Guidance on how to take small, gradual steps that lead to big changes in your motivation and inspiration Perfect for anyone who has tried to take ownership of their own mental health but lacked the time, motivation, or information to effectively make a change,  Move Your Mind  is an indispensable guide to creating long-term behavior changes that promote increased happiness, decreased anxiety and stress, and better relationships.

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Автор: Группа авторов

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Автор: Fabio Altomare

The book introduces scientists and graduate students to superconductivity, and highlights the differences arising from the different dimensionality of the sample under study. It focuses on transport in one-dimensional superconductors, describing relevant theories with particular emphasis on experimental results. It closely relates these results to the emergence of various novel fabrication techniques. The book closes by discussing future perspectives, and the connection and relevance to other physical systems, including superfluidity, Bose-Einstein condensates, and possibly cosmic strings.

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Автор: Группа авторов

Non-pathologists, such as toxicologists and study personnel, can find it difficult to understand the data they receive from pathologists. Toxicological pathologists write long, detailed and highly technical reports. Study personnel are under daily pressure to decide whether lesions described in pathology reports are treatment-related and thus important to the pharmaceutical company or whether the lesions are background changes and thus of little significance. Written by experienced toxicological pathologists, Pathology for Toxicologists: Principles and Practices of Laboratory Animal Pathology for Study Personnel serves to bridge the gap in the understanding of pathology data, enabling non-pathologists to more easily comprehend pathology reports, better integrate pathology data into final study reports and ask pathologists relevant questions about the test compound. This succinct, fully referenced, full colour book is suitable for toxicologists at all stages of their training or career who want to know more about the pathology encountered in laboratory animals used in safety studies. Key features include important chapters on spontaneous and target organ lesions in rats, mice, non-human primates, mini pigs, rabbits and beagle dogs as well as information on general pathology, macroscopic target organ lesions, ancillary pathology techniques, haematology, biochemistry and adversity. Pathology for Toxicologists: Principles and Practices of Laboratory Animal Pathology for Study Personnel includes: Colour diagrams explaining how lesions are caused by either external compounds or spontaneously The anatomic variations and background lesions of laboratory animals Advice on sampling tissues, necropsy, ancillary pathology techniques and recording data A chapter on the haematology and biochemistry of laboratory animals Full colour photographs of common macroscopic lesions encountered in laboratory animals A comprehensive glossary

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Автор: Группа авторов

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Автор: Группа авторов

Provides readers with the methods, algorithms, and means to perform text mining tasks This book is devoted to the fundamentals of text mining using Perl, an open-source programming tool that is freely available via the Internet (www.perl.org). It covers mining ideas from several perspectives–statistics, data mining, linguistics, and information retrieval–and provides readers with the means to successfully complete text mining tasks on their own. The book begins with an introduction to regular expressions, a text pattern methodology, and quantitative text summaries, all of which are fundamental tools of analyzing text. Then, it builds upon this foundation to explore: Probability and texts, including the bag-of-words model Information retrieval techniques such as the TF-IDF similarity measure Concordance lines and corpus linguistics Multivariate techniques such as correlation, principal components analysis, and clustering Perl modules, German, and permutation tests Each chapter is devoted to a single key topic, and the author carefully and thoughtfully introduces mathematical concepts as they arise, allowing readers to learn as they go without having to refer to additional books. The inclusion of numerous exercises and worked-out examples further complements the book's student-friendly format. Practical Text Mining with Perl is ideal as a textbook for undergraduate and graduate courses in text mining and as a reference for a variety of professionals who are interested in extracting information from text documents.

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Автор: Группа авторов

In this practice-oriented two volume handbook, professionals from some of the largest biopharmaceutical companies and top academic researchers address the key concepts and challenges in the development of protein pharmaceuticals for medicinal chemists and drug developers of all trades. Following an introduction tracing the rapid development of the protein therapeutics market over the last decade, all currently used therapeutic protein scaffolds are surveyed, from human and non-human antibodies to antibody mimetics, bispecific antibodies and antibody-drug conjugates. This ready reference then goes on to review other key aspects such as pharmacokinetics, safety and immunogenicity, manufacture, formulation and delivery. The handbook then takes a look at current key clinical applications for protein therapeutics, from respiratory and inflammation to oncology and immune-oncology, infectious diseases and rescue therapy. Finally, several exciting prospects for the future of protein therapeutics are highlighted and discussed.

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Автор: Stephen L. Nelson

The quickest way to do the books for small business owners and managers No one looks forward to doing the finances: that’s why QuickBooks 2020 All-in-One For Dummies is on hand to help get it over with as quickly and painlessly as possible. This comprehensive one-stop reference combines 8 mini-books in one, all written in plain and simple language that makes it easy for even the most accounts-averse to get the most out of the latest version of the QuickBooks software and save time. Written and revised by financial expert Stephen Nelson, the latest version of this invaluable guide takes readers step-by-step through every aspect of small business accounting procedures, including understanding the fundamentals of double-entry bookkeeping, setting up and administering the QuickBooks system, and carrying out complex tasks such as ratio analysis and capital budgeting. Write a business plan and create a forecast Learn how to use profit-volume-cost analysis tools Prepare financial statements and reports Protect your financial data Time is money—get this time-saving resource today and start reaping the rewards!

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Автор: Byron Ellis

Construct a robust end-to-end solution for analyzing and visualizing streaming data Real-time analytics is the hottest topic in data analytics today. In Real-Time Analytics: Techniques to Analyze and Visualize Streaming Data, expert Byron Ellis teaches data analysts technologies to build an effective real-time analytics platform. This platform can then be used to make sense of the constantly changing data that is beginning to outpace traditional batch-based analysis platforms. The author is among a very few leading experts in the field. He has a prestigious background in research, development, analytics, real-time visualization, and Big Data streaming and is uniquely qualified to help you explore this revolutionary field. Moving from a description of the overall analytic architecture of real-time analytics to using specific tools to obtain targeted results, Real-Time Analytics leverages open source and modern commercial tools to construct robust, efficient systems that can provide real-time analysis in a cost-effective manner. The book includes: A deep discussion of streaming data systems and architectures Instructions for analyzing, storing, and delivering streaming data Tips on aggregating data and working with sets Information on data warehousing options and techniques Real-Time Analytics includes in-depth case studies for website analytics, Big Data, visualizing streaming and mobile data, and mining and visualizing operational data flows. The book's «recipe» layout lets readers quickly learn and implement different techniques. All of the code examples presented in the book, along with their related data sets, are available on the companion website.

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Автор: Cole Stryker

Organizations can make data science a repeatable, predictable tool, which business professionals use to get more value from their data Enterprise data and AI projects are often scattershot, underbaked, siloed, and not adaptable to predictable business changes. As a result, the vast majority fail. These expensive quagmires can be avoided, and this book explains precisely how.  Data science is emerging as a hands-on tool for not just data scientists, but business professionals as well. Managers, directors, IT leaders, and analysts must expand their use of data science capabilities for the organization to stay competitive. Smarter Data Science helps them achieve their enterprise-grade data projects and AI goals. It serves as a guide to building a robust and comprehensive information architecture program that enables sustainable and scalable AI deployments. When an organization manages its data effectively, its data science program becomes a fully scalable function that’s both prescriptive and repeatable. With an understanding of data science principles, practitioners are also empowered to lead their organizations in establishing and deploying viable AI. They employ the tools of machine learning, deep learning, and AI to extract greater value from data for the benefit of the enterprise. By following a ladder framework that promotes prescriptive capabilities, organizations can make data science accessible to a range of team members, democratizing data science throughout the organization. Companies that collect, organize, and analyze data can move forward to additional data science achievements: Improving time-to-value with infused AI models for common use cases Optimizing knowledge work and business processes Utilizing AI-based business intelligence and data visualization Establishing a data topology to support general or highly specialized needs Successfully completing AI projects in a predictable manner Coordinating the use of AI from any compute node. From inner edges to outer edges: cloud, fog, and mist computing When they climb the ladder presented in this book, businesspeople and data scientists alike will be able to improve and foster repeatable capabilities. They will have the knowledge to maximize their AI and data assets for the benefit of their organizations.

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Автор: Cole Stryker

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Автор: Barry DeVille

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Автор: Группа авторов

Complete guidance for mastering the tools and techniques of the digital revolution With the digital revolution opening up tremendous opportunities in many fields, there is a growing need for skilled professionals who can develop data-intensive systems and extract information and knowledge from them. This book frames for the first time a new systematic approach for tackling the challenges of data-intensive computing, providing decision makers and technical experts alike with practical tools for dealing with our exploding data collections. Emphasizing data-intensive thinking and interdisciplinary collaboration, The Data Bonanza: Improving Knowledge Discovery in Science, Engineering, and Business examines the essential components of knowledge discovery, surveys many of the current research efforts worldwide, and points to new areas for innovation. Complete with a wealth of examples and DISPEL-based methods demonstrating how to gain more from data in real-world systems, the book: Outlines the concepts and rationale for implementing data-intensive computing in organizations Covers from the ground up problem-solving strategies for data analysis in a data-rich world Introduces techniques for data-intensive engineering using the Data-Intensive Systems Process Engineering Language DISPEL Features in-depth case studies in customer relations, environmental hazards, seismology, and more Showcases successful applications in areas ranging from astronomy and the humanities to transport engineering Includes sample program snippets throughout the text as well as additional materials on a companion website The Data Bonanza is a must-have guide for information strategists, data analysts, and engineers in business, research, and government, and for anyone wishing to be on the cutting edge of data mining, machine learning, databases, distributed systems, or large-scale computing.

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