Databases

Get better insights from time-series data and become proficient in model performance analysisKey FeaturesExplore popular and modern machine learning methods including the latest online and deep learning algorithmsLearn to increase the accuracy of your predictions by matching the right model with the right problemMaster time series via real-world case studies on operations management, digital marketing, finance, and healthcareBook DescriptionThe Python time-series ecosystem is huge and often quite hard to get a good grasp on, especially for time-series since there are so many new libraries and new models.

The second volume of this edited collection offers a number of contributions from leading scholars investigating Blockchain and its implications for business.

This book constitutes the refereed proceedings of the 18th International Conference on Modeling Decisions for Artificial Intelligence, MDAI 2021, held in Umea, Sweden, in September 2021.

This book presents findings from the papers accepted at the Cyber Security Education Stream and Cyber Security Technology Stream of The National Cyber Summit's Research Track, reporting on the latest advances on topics ranging from software security to cyber attack detection and modelling to the use of machine learning in cyber security to legislation and policy to surveying of small businesses to cyber competition, and so on.

This book is intended as a manual on modern advanced statistical methods for signal processing.

This book contains the refereed proceedings of the 15th International Conference on Knowledge Management in Organizations, KMO 2021, held in Kaohsiung, Taiwan, in July 2021.

With the turn of the century our ability to collect and store geospatial information has increased considerably.

This book constitutes the proceedings of the 26th International Conference on Conceptual Structures, ICCS 2021, held virtually in September 2021.

This book provides a critical comprehensive summary of the coevolution of telecom markets, rules and public institutions over the last 25 years, focusing on the challenges that regulators and policy makers have been facing.

This book presents new research contributions in the above-mentioned fields.

This book showcases state-of-the-art advances in service science and related fields of research, education, and practice.

This book constitutes thoroughly reviewed, revised and selected papers from the 4th International Conference on Human Centered Computing, HCC 2018, held in Merida, Mexico, in December 2018.

Learn the fundamentals of clean, effective Python coding and build the practical skills to tackle your own software development or data science projectsKey FeaturesBuild key Python skills with engaging development tasks and challenging activitiesImplement useful algorithms and write programs to solve real-world problemsApply Python in realistic data science projects and create simple machine learning modelsBook DescriptionHave you always wanted to learn Python, but never quite known how to start?

Get a step ahead of your competitors with insights from over 30 Kaggle Masters and Grandmasters.

From the New York Times to Gawker, a behind-the-scenes look at how performance analytics are transforming journalism today-and how they might remake other professions tomorrowJournalists today are inundated with data about which stories attract the most clicks, likes, comments, and shares.

This book constitutes the refereed post-conference proceedings of the 8th International Conference on Big Data Technologies and Applications, BDTA 2017, held in Gwangju, South Korea, in November 2017.

This book is a collection of high scientific novel contributions addressing several of these challenges.

This textbook on Python 3 explains concepts such as variables and what they represent, how data is held in memory, how a for loop works and what a string is.

This book contains high-quality refereed research papers presented at the Fifth International Conference on Computer Science, Engineering, and Education Applications (ICCSEEA2022), which took place in Kyiv, Ukraine, on February 21-22, 2022, and was organized by the National Technical University of Ukraine "e;Igor Sikorsky Kyiv Polytechnic Institute,"e; National Aviation University, and the International Research Association of Modern Education and Computer Science.

This book is the very first book-length study devoted to the advances in technological development and systems research in cooperative economics.

This two-volume set LNAI 12163 and 12164 constitutes the refereed proceedings of the 21th International Conference on Artificial Intelligence in Education, AIED 2020, held in Ifrane, Morocco, in July 2020.

In this book, the protection of personal data is compared for eight EU member states,namely France, Germany, the United Kingdom, Ireland, Romania, Italy, Sweden andthe Netherlands.

This book constitutes the refereed proceedings of the 26th International Conference on Applications of Natural Language to Information Systems, NLDB 2021, held online in July 2021.

Mathematical Methods in Data Science covers a broad range of mathematical tools used in data science, including calculus, linear algebra, optimization, network analysis, probability and differential equations.

Increasingly, human beings are sensors engaging directly with the mobile Internet.

This book introduces readers to the fundamentals of deep neural network architectures, with a special emphasis on memristor circuits and systems.

Data Analysis in the Cloud introduces and discusses models, methods, techniques, and systems to analyze the large number of digital data sources available on the Internet using the computing and storage facilities of the cloud.

This book addresses the implications of the Industry 4.

New to Oracle Global Data Services?

This book constitutes the refereed proceedings of the 33rd Annual IFIP WG 11.

This book introduces physics students to concepts and methods of finance.

This two-volume set LNCS 12035 and 12036 constitutes the refereed proceedings of the 42nd European Conference on IR Research, ECIR 2020, held in Lisbon, Portugal, in April 2020.

Business innovation and industrial intelligence are paving the way for a future in which smart factories, intelligent machines, networked processes and Big Data are combined to foster industrial growth.

This work provides a review of biological networks as a model for analysis, presenting and discussing a number of illuminating analyses.

This book of Advances in Deep Learning, Artificial Intelligence and Robotics (proceedings of ICDLAIR 2020) is intended to be used as a reference by students and researchers who collect scientific and technical contributions with respect to models, tools, technologies and applications in the field of modern artificial intelligence and robotics.

Use Predictive Analytics to Uncover Hidden Patterns and Correlations and Improve Decision-Making Using predictive analytics techniques, decision-makers can uncover hidden patterns and correlations in their data and leverage these insights to improve many key business decisions.

Microsoft SQL Server Integration Services is Microsoft's powerful platform for building enterprise-level data integration and data transformation solutions.

Statistical Computation for Programmers, Scientists, Quants, Excel Users, and Other Professionals Using the open source R language, you can build powerful statistical models to answer many of your most challenging questions.

Today, the insights available through "e;big data"e; are potentially limitless - ranging from improved product recommendations and more well-targeted promotions to more efficient public agencies.

Get the guide that makes learning Microsoft Access 2010 plain and simple!

Corporate and commercial software-development teams all want solutions for one important problem-how to get their high-pressure development schedules under control.

The professional programmer's Deitel(R) guide to Python(R) with introductory artificial intelligence case studies Written for programmers with a background in another high-level language, Python for Programmers uses hands-on instruction to teach today's most compelling, leading-edge computing technologies and programming in Python-one of the world's most popular and fastest-growing languages.

Solve Data Analytics Problems with Spark, PySpark, and Related Open Source Tools Spark is at the heart of today's Big Data revolution, helping data professionals supercharge efficiency and performance in a wide range of data processing and analytics tasks.

Drive Powerful Business Value by Extending MDM to Social, Mobile, Local, and Transactional Data Enterprises have long relied on Master Data Management (MDM) to improve customer-related processes.

The expert guide to creating production machine learning solutions with ML.

"e; A Developer's Guide to Data Modeling for SQL Server explains the concepts and practice of data modeling with a clarity that makes the technology accessible to anyone building databases and data-driven applications.

IBM's Definitive One-Stop Guide to IMS Versions 12, 11, and 10: for Every IMS DBA, Developer, and System Programmer Over 90% of the top Fortune(R) 1000 companies rely on IBM's Information Management System (IMS) for their most critical IBM System z(R) data management needs: 50,000,000,000+ transactions run through IMS databases every day.

The Systems Modeling Language (SysML) extends UML with powerful systems engineering capabilities for modeling a wider spectrum of systems and capturing all aspects of a system's design.

Application Performance Management (APM) in the Digital Enterprise enables IT professionals to be more successful in managing their company's applications.