BigDataFr recommends: 19 Worst Mistakes at Data Science Job Interviews […] This applies to many tech job interviews. But here we provide specific advice for data scientists and other professionals with a similar background. More advice is being added regularly. Here’s the list: 1) Not doing any research on the company prior to the interview. […]
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[arXiv] BigDataFr recommends: Market Model and Optimal Pricing Scheme of Big Data and Internet of Things (IoT)
BigDataFr recommends: Market Model and Optimal Pricing Scheme of Big Data and Internet of Things (IoT) […]Big data has been emerging as a new approach in utilizing large datasets to optimize complex system operations. Big data is fueled with Internet-of-Things (IoT) services that generate immense sensory data from numerous sensors and devices. While most current […]
[O’R] BigDataFr recommends: Insightful applications: The next inflection in big data
BigDataFr recommends: Insightful applications: The next inflection in big data […] In previous posts, I wrote about the need for insight generation and provided an example of an insightful application. I maintain that insightful applications are the key to businesses effectively exploiting big data in order to improve decision-making and address important problems. To better […]
[arXiv] BigDataFr recommends: Streaming Big Data meets Backpressure in Distributed Network Computation
BigDataFr recommends: Streaming Big Data meets Backpressure in Distributed Network Computation […] We study network response to queries that require computation of remotely located data and seek to characterize the performance limits in terms of maximum sustainable query rate that can be satisfied. The available resources include (i) a communication network graph with links over […]
[Datasciencecentral] BigDataFr recommends: All About Data Science And Big Data #datascientist
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 […]
[arXiv] BigDataFr recommends: Strategies and Principles of Distributed Machine Learning on Big Data #datascientist
BigDataFr recommends: Strategies and Principles of Distributed Machine Learning on Big Data ? The rise of Big Data has led to new demands for Machine Learning (ML) systems to learn complex models with millions to billions of parameters, that promise adequate capacity to digest massive datasets and offer powerful predictive analytics thereupon. In order to […]
[Datasciencecentral] BigDataFr recommends : How to Raise a Data -Scientist in the Xbox Age
BigDataFr recommends: How to Raise a Data -Scientist in the Xbox Age An article by this title (without the ‘Data’) appeared in December in the WSJ written by Robert Scherrer, Chairman of the Physics and Astronomy department at Vanderbilt University. As an educator and parent he has some interesting and humorous insights into how to […]
[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: Predicting the Future #datascientist
BigDataFr recommends: Predicting the Future TOne of the really fun aspects of being a data scientist is that we are called upon to predict the future. Frequently that means trying to predict who will buy, who will churn, what they will buy next, how much they will spend, all the sorts of questions that are […]
[arXiv] BigDataFr recommends: Privacy by design in big data: An overview of privacy enhancing technologies #datascientist
BigDataFr recommends: Privacy by design in big data: An overview of privacy enhancing technologies in the era of big data analytics The extensive collection and processing of personal information in big data analytics has given rise to serious privacy concerns, related to wide scale electronic surveillance, profiling, and disclosure of private data. To reap the […]