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Business Models for the Data Economy
You're sitting on a pile of interesting data. How do you transform that into money? It's easy to focus on the contents of the data itself, and to succumb to the (rather unimaginative) idea of simply collecting and reselling it in raw form. While that's certainly profitable right now, you'd do well to explore other opportunities ...
Programming Persistent Memory
Beginning and experienced programmers will use this comprehensive guide to persistent memory programming. You will understand how persistent memory brings together several new software/hardware requirements, and offers great promise for better performance and faster application startup times - a huge leap forward in byte-addressable capacity compar...
Data Collection in Fragile States
'This free book addresses an urgent issue on which little organized information exists. It reflects experience in Africa but is highly relevant to other fragile states as well.'—Constantine Michalopoulos, John Hopkins University, USA and former Director of Economic Policy and Co-ordination at the World BankFragile countries face a tripl...
Spationomy
This open access book is based on "Spationomy – Spatial Exploration of Economic Data", an interdisciplinary and international project in the frame of ERASMUS+ funded by the European Union. The project aims to exchange interdisciplinary knowledge in the fields of economics and geomatics. For the newly introduced courses, interdisciplinar...
Heterogeneity, High Performance Computing, Self-Organization and the Cloud
This book addresses the most recent developments in cloud computing such as HPC in the Cloud, heterogeneous cloud, self-organising and self-management, and discusses the business implications of cloud computing adoption. Establishing the need for a new architecture for cloud computing, it discusses a novel cloud management and delivery architecture...
Industry 4.0 for SMEs
This free book explores the concept of Industry 4.0, which presents a considerable challenge for the production and service sectors. While digitization initiatives are usually integrated into the central corporate strategy of larger companies, smaller firms often have problems putting Industry 4.0 paradigms into practice. Small and medium-sized ent...
Multiple-Aspect Analysis of Semantic Trajectories
This free book constitutes the refereed post-conference proceedings of the First International Workshop on Multiple-Aspect Analysis of Semantic Trajectories, MASTER 2019, held in conjunction with the 19th European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2019, in Würzburg, Germany, in September 2019. The 8 ful...
Microsoft Platform and Tools for Mobile App Development
Understanding and creating a mobile app development strategy is an important process for today's development decision-makers opening up new business opportunities or empowering employees to be more productive with new capabilities. Microsoft defines an end-to-end platform for the agile creation of mobile apps that can target any platform (iOS,...
An Introduction to Machine Learning
This textbook presents fundamental machine learning concepts in an easy to understand manner by providing practical advice, using straightforward examples, and offering engaging discussions of relevant applications. The main topics include Bayesian classifiers, nearest-neighbor classifiers, linear and polynomial classifiers, decision trees, neural ...
Excel Data Analysis
This book offers a comprehensive and readable introduction to modern business and data analytics. It is based on the use of Excel, a tool that virtually all students and professionals have access to. The explanations are focused on understanding the techniques and their proper application, and are supplemented by a wealth of in-chapter and end-of-c...
Applied Quantitative Finance
This volume provides practical solutions and introduces recent theoretical developments in risk management, pricing of credit derivatives, quantification of volatility and copula modeling. This third edition is devoted to modern risk analysis based on quantitative methods and textual analytics to meet the current challenges in banking and finance. ...
Introducing Microsoft Power BI
Introducing Microsoft Power BI enables you to evaluate when and how to use Power BI. Get inspired to improve business processes in your company by leveraging the available analytical and collaborative features of this environment. This book is targeted to a variety of readers. There are information workers and people who are totally new to the B...
Azure Cognitive Services Succinctly
Azure Cognitive Services puts the power of AI and machine learning into the hands of software developers without requiring a PhD or years of experience in the field. With Azure Cognitive Services Succinctly, author Ed Freitas delivers an accessible guide to integrating computer vision, decision-making, speech, and more into your applications to giv...
Marketing and Advertising Using Google
The official book from Google for students preparing for careers in marketing. Learn to: Create effective Internet advertising, target advertising to people when they're ready to buy, control you advertising budget, and build your brand....
Learning SAS
SAS (Statistical Analysis System) is a statistical software suite for data management, advanced analytics, multivariate analysis, business intelligence, criminal investigation, and predictive analytics. It is an unofficial and free SAS book created for educational purposes. All the content is extracted from Stack Overflow Documentation, which is...
Technical, Economic and Societal Effects of Manufacturing 4.0
This open book is among the first cross-disciplinary works about Manufacturing 4.0. It includes chapters about the technical, the economic, and the social aspects of this important phenomenon. Together the material presented allows the reader to develop a holistic picture of where the manufacturing industry and the parts of the society that depend ...
Leveraging Data Science for Global Health
This open book explores ways to leverage information technology and machine learning to combat disease and promote health, especially in resource-constrained settings. It focuses on digital disease surveillance through the application of machine learning to non-traditional data sources. Developing countries are uniquely prone to large-scale emergin...
Just Enough R
If your job involves working with data in any manner, you cannot afford to ignore the R revolution! If your domain is called data analysis, analytics, informatics, data science, reporting, business intelligence, data management, big data, or visualization, you just have to learn R as this programming language is a game-changing sledgehammer. How...
Social Media Mining
The growth of social media over the last decade has revolutionized the way individuals interact and industries conduct business. Individuals produce data at an unprecedented rate by interacting, sharing, and consuming content through social media. Understanding and processing this new type of data to glean actionable patterns presents challenges an...
The Big Book of Machine Learning Use Cases
The world of machine learning is evolving so quickly that it's challenging to find real-life use cases that are relevant to your day-to-day work. That's why we've created this comprehensive guide you can start using right away. Get everything you need - use cases, code samples and notebooks - so you can start putting the Databrick...
Learn Ruby on Rails: Book Two
In this book, you'll build a working web application so you'll gain hands-on experience. Along the way, you'll practice techniques used by professional Rails developers. And I'll help you understand why Rails is a popular choice for web development. Read Book One to get the big picture that's missing from other tutorials...

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