BigDataFr recommends: All About Data Science And Big Data Data Science is the system used to extract insights from data that’s mined from various sources. Using various techniques including predictive modeling, Data Science helps to analyze and interpret vast amounts of data. The people who apply Data Science to manage large amounts of data are […]
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[arXiv] BigDataFr recommends: Measuring Social Well Being in The Big Data Era: Asking or Listening?
BigDataFr recommends: Measuring Social Well Being in The Big Data Era: Asking or Listening? The literature on well being measurement seems to suggest that « asking » for a self-evaluation is the only way to estimate a complete and reliable measure of well being. At the same time « not asking » is the only way to avoid biased […]
[Datasciencecentral] BigDataFr recommends: The Internet of Things is Really Only About One Thing
BigDataFr recommends: The Internet of Things is Really Only About One Thing The Internet of Things is really all about data. […]Big data is all about data, while the Internet of things involves data, devices, and connectivity, but in the end, they tend to come down to the same thing. And while many companies are […]
[arXiv] BigDataFr recommends: Scalable and Accurate Online Feature Selection for Big Data
BigDataFr recommends: Scalable and Accurate Online Feature Selection for Big Data Feature selection is important in many big data applications. There are at least two critical challenges. Firstly, in many applications, the dimensionality is extremely high, in millions, and keeps growing. Secondly, feature selection has to be highly scalable, preferably in an online manner such […]
[Datasciencecentral] BigDataFr recommends: Predictive Analytics in the Supply Chain
BigDataFr recommends: Predictive Analytics in the Supply Chain Predictive analytics are increasingly important to Supply Chain Management making the process more accurate, reliable, and at reduced cost. To be at the top of your game as a supply chain manager you need to understand and utilize advanced predictive analytics. As a large continuous process the […]
[arXiv] BigDataFr recommends: An Extended classification and Comparison of NoSQL Big Data Models
BigDataFr recommends: An Extended classification and Comparison of NoSQL Big Data Models In last few years, the volume of the data has grown manyfold. The data storages have been inundated by various disparate potential data outlets, leading by social media such as Facebook, Twitter, etc. The existing data models are largely unable to illuminate the […]
[arXiv] BigDataFr recommends: Learning to Hash for Indexing Big Data – A Survey
BigDataFr recommends: Learning to Hash for Indexing Big Data – A Survey ‘The explosive growth in big data has attracted much attention in designing efficient indexing and search methods recently. In many critical applications such as large-scale search and pattern matching, finding the nearest neighbors to a query is a fundamental research problem. However, the […]
[arxiv] BIgDataFr recommends: Train faster, generalize better – Stability of stochastic gradient descent #datascientist
BigDataFr recommends: Train faster, generalize better – Stability of stochastic gradient descent ‘We show that any model trained by a stochastic gradient method with few iterations has vanishing generalization error. We prove this by showing the method is algorithmically stable in the sense of Bousquet and Elisseeff. Our analysis only employs elementary tools from convex […]
[arXiv] BigDataFr recommends: Deep Broad Learning – Big Models for Big Data
BigDataFr recommends: Deep Broad Learning – Big Models for Big Data ‘Deep learning has demonstrated the power of detailed modeling of complex high-order (multivariate) interactions in data. For some learning tasks there is power in learning models that are not only Deep but also Broad. […] The most accurate models will integrate all that information. […]
[arXiv] BigDataFr recommends: Improving Big Data Visual Analytics with Interactive Virtual Reality #datascientist #machine learning
BigDataFr recommends: Improving Big Data Visual Analytics with Interactive Virtual Reality ‘For decades, the growth and volume of digital data collection has made it challenging to digest large volumes of information and extract underlying structure. Coined ‘Big Data’, massive amounts of information has quite often been gathered inconsistently (e.g from many sources, of various forms, […]