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 […]
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[Datasciencecentral] BigDataFr recommends: Interview with Gideon Mann, Head of Data Science at Bloomberg #datascientist
BigDataFr recommends: Interview with Gideon Mann, Head of Data Science at Bloomberg Interview with Gideon Mann, Head of Data Science at Bloomberg, where he guides the strategic direction for machine learning, natural language processing, and search on the core terminal. He joined Bloomberg from Google Research. At Google, in addition to academic research, his team […]
[Data Science Central] BigDataFr recommends: The Role of Big Data Analytics in the Petabyte Age
BigDataFr recommends: The Role of Big Data Analytics in the Petabyte Age The data flood that you are witnessing every minute is trying to tell you hidden secrets about your business growth, are you listening? In the previous years, we may have taken a glass half empty perspective for the analytics sector but this definitely […]
[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: Big Data and Business Intelligence: Debunking the Myths
BigDataFr recommends: Big Data and Business Intelligence: Debunking the Myths Big data is one of the most discussed, and possibly least understood, terms in use in business today. Big data is said to offer not only unprecedented levels of business intelligence concerning the habits of consumers and rivals, but also to herald a revolution in […]
[Data Science Central] BigDataFr recommends: Spark Or Hadoop: Which Is The Best Big Data Framework?
BigDataFr recommends: >Spark Or Hadoop: Which Is The Best Big Data Framework? Excerpt One question I get asked a lot by my clients is: Should we go for Hadoop or Spark as our big data framework? Spark has overtaken Hadoop as the most active open source Big Data project. While they are not directly comparable […]
[Data Science Central] BigDataFr recommends: Spark Or Hadoop: Which Is The Best Big Data Framework?
BigDataFr recommends: >Spark Or Hadoop: Which Is The Best Big Data Framework? Excerpt One question I get asked a lot by my clients is: Should we go for Hadoop or Spark as our big data framework? Spark has overtaken Hadoop as the most active open source Big Data project. While they are not directly comparable […]
[arXiv] BigDataFr recommends: Preconditioned Data Sparsification for Big Data with Applications to PCA and K-means #datascientist
BigDataFr recommends: Preconditioned Data Sparsification for Big Data with Applications to PCA and K-means Excerpt We analyze a compression scheme for large data sets that randomly keeps a small percentage of the components of each data sample. The benefit is that the output is a sparse matrix and therefore subsequent processing, such as PCA or […]
[Datasciencecentral] BigDataFr recommends: Is Data Science, Like Mathematics, a Universal Language? #datascientist
BigDataFr recommends: Is Data Science, Like Mathematics, a Universal Language? Excerpt I try to keep my eye out for articles written by data scientists in other countries, especially those we don’t hear from all that often. What I’m looking for is any difference in perspective about our field. Are the approaches to data problem solving […]
[Datasciencecentral] BigDataFr recommends: Is Data Science, Like Mathematics, a Universal Language? #datascientist
BigDataFr recommends: Is Data Science, Like Mathematics, a Universal Language? Excerpt I try to keep my eye out for articles written by data scientists in other countries, especially those we don’t hear from all that often. What I’m looking for is any difference in perspective about our field. Are the approaches to data problem solving […]