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Natural Language Processing Using PyTorch
Natural language processing is an important branch of computer science. It is the study of human language by computers performing various tasks....
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Introduction to Neural Networks Using PyTorch
Deep neural network–based models are gradually becoming the backbone for artificial intelligence and machine learning implementations. The future of...
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The Use of Big Data in the Field of Food Mycology and Mycotoxins
This chapter encompasses an overview of the use of big data in the field of food mycology and mycotoxins. Big data is a relatively new concept in the...
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The Role of Policy and Regulations in the Adoption of Big Data Technologies in Food Safety and Quality
Big data is and will continue to be a major disruptor in the area of food safety. Although “big data” can provide valuable and significant...
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Environmental Education for High School Students—Investigation of Air Quality with Low-Cost Sensors
The chapter addresses environmental education for high school students with low-cost sensor systems. Initially, different indoor and outdoor air...
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A Data Processing Architecture for Intelligent Hierarchical Air Quality Monitoring Networks in Urban Innovation and Citizen Science Applications
The last decade has seen a growth of lowcost chemical and particulate, multisensory-based air quality (AQ) monitoring capacity, mostly driven by the...
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Machine Learning Application in Food Safety, Production, and Quality
The demand for high-quality food and low-cost production has increased the need to automate and optimize supply chain processes. The recent trends in...
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Data Science for Entrepreneurship: The Road Ahead
Recent advancements and trends in data engineering, data analytics, entrepreneurship, and business and societal context in which all this happens...
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Entrepreneurial Finance
Restricted access to finance is often cited as one of the most prominent problems of innovative startups throughout their life cycle. Many...
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Big Data Architectures
Big data has drawn huge attention from researchers and policy and decision makers in governments and enterprises. As the speed of information growth...
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An Intuitive Introduction to Deep Learning
This chapter presents an intuitive explanation of deep learning, focusing on convolutional neural networks. Starting with a perceptron and the...
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Data Governance
Data-intensive products and services aim to turn big data to a value or strategic asset for the organizations. However, the inherent risk and cost of...
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Supervised Machine Learning in a Nutshell
This chapter introduces the fundamental to supervised machine learning algorithms, namely the classification and regression problems. We explain each...
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Digital Entrepreneurship
In the past few decades, technological development has led to the digitization and digitalization of (mostly developed) economies into what one could...
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Value-Sensitive Software Design
Software is at the heart of many processes in contemporary life and innovation: software helps us to order vast amounts of data, retrieve...
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Data Ethics and Data Science: An Uneasy Marriage?
Civil society around the world has called for data-driven companies to take their responsibility seriously and to work on becoming more fair,...
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Data Protection Law and Responsible Data Science
This chapter provides data scientists with an introduction to data protection law. The aim of this chapter is to provide some basic knowledge and...
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Platforms and International Business
The chapter analyses the impact of digital platforms in the international expansion of businesses and discusses how they are sha** international...
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Data Management and Regulations for International Business
Data flows have become a strategic asset for companies as they allow for coordination and optimization of the global value chain, a more efficient...
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Problems and Opportunities of Applied Optimization Models in Retail Space Planning
Shelf space analytics have received great attention among researchers for years. The allocation of different products with a certain number of...