BigDataFr recommends: The Future Is Intelligent Apps […] I have seen the future! Of course, I seem to say that every other month (maybe that’s because the future keeps changing?), but this is a good one. The future is a collision between big data (and data science) and application development that will yield a world […]
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[arXiv] BigDataFr recommends: Big Data for Social Sciences: Measuring patterns of human behavior through large-scale mobile phone data
BigDataFr recommends: Big Data for Social Sciences: Measuring patterns of human behavior through large-scale mobile phone data Subjects: Computers and Society (cs.CY); Social and Information Networks (cs.SI) […] ABSTRACT Through seven publications this dissertation shows how anonymized mobile phone data can contribute to the social good and provide insights into human behaviour on a large […]
[arXiv] BigDataFr recommends: Cloud-based Deep Learning of Big EEG Data for Epileptic Seizure Prediction
BigDataFr recommends: Cloud-based Deep Learning of Big EEG Data for Epileptic Seizure Prediction Subjects: Learning (cs.LG); Machine Learning (stat.ML) […] ABSTRACT Developing a Brain-Computer Interface~(BCI) for seizure prediction can help epileptic patients have a better quality of life. However, there are many difficulties and challenges in developing such a system as a real-life support for […]
[Datasciencecentral] BigDataFr recommends: The Mathematics of Machine Learning
BigDataFr recommends: The Mathematics of Machine Learning […] In the last few months, I have had several people contact me about their enthusiasm for venturing into the world of data science and using Machine Learning (ML) techniques to probe statistical regularities and build impeccable data-driven products. However, I’ve observed that some actually lack the necessary mathematical […]
[Datasciencecentral – Tips] BigDataFr recommends: Difference between Machine Learning, Data Science, AI, Deep Learning, and Statistics
BigDataFr recommends: Difference between Machine Learning, Data Science, AI, Deep Learning, and Statistics […] In this article, Vincent Granville clarifies the various roles of the data scientist, and how data science compares and overlaps with related fields such as machine learning, deep learning, AI, statistics, IoT, operations research, and applied mathematics. As data science is […]
[arXiv] BigDataFr recommends: Distributed Real-Time Sentiment Analysis for Big Data Social Streams
BigDataFr recommends: Distributed Real-Time Sentiment Analysis for Big Data Social Streams […] ABSTRACT Big data trend has enforced the data-centric systems to have continuous fast data streams. In recent years, real-time analytics on stream data has formed into a new research field, which aims to answer queries about what-is-happening-now with a negligible delay. The real […]
[arXiv] BigDataFr recommends: Kissing Cuisines: Exploring Worldwide Culinary Habits on the Web
BigDataFr recommends: Kissing Cuisines: Exploring Worldwide Culinary Habits on the Web. […] ABSTRACT As food becomes an important part of modern life, recipes shared on the web are a great indicator of civilizations and culinary attitudes in different countries. Similarly, ingredients, flavors, and nutrition information are strong signals of the taste preferences of individuals from […]
[Datasciencecentra] BigDataFr recommends: How to Ensure Your CRM Data Is Fit For Purpose
BigDataFr recommends: How to Ensure Your CRM Data Is Fit For Purpose […] In this post we provide you with seven ways you can improve the quality of your data and ensure it is fit for purpose. Constantly improving upon the quality of your data is essential to remain ahead of your competition. Failure to keep […]
[arXiv] BigDataFr recommends: Architecting Time-Critical Big-Data Systems
BigDataFr recommends: Architecting Time-Critical Big-Data Systems Subjects: Distributed, Parallel, and Cluster Computing (cs.DC) […] – Current infrastructures for developing big-data applications are able to process –via big-data analytics-huge amounts of data, using clusters of machines that collaborate to perform parallel computations. However, current infrastructures were not designed to work with the requirements of time-critical applications; […]
[Datasciencecentral – Tips] BigDataFr recommends: Data Integration Tools – Market Study
BigDataFr recommends: Data Integration Tools – Market Study […] This post is a brief review of leading Data Integration tools in the market. Heavily referencing from the Gartner 2016 report and peer reviews from my circle The Market The data integration tool market was worth approximately $2.8 billion at the end of 2015, an increase […]