BigDataFr recommends: From Big Data To Important Information […]Advances in science are being sought in newly available opportunities to collect massive quantities of data about complex systems. While key advances are being made in detailed mapping of systems, how to relate this data to solving many of the challenges facing humanity is unclear. The questions […]
Author: Big Data
[Data Science Central] BigDataFr recommends: Can DeepMind win ‘Jeopardy’ and Watson win ‘Go’?
BigDataFr recommends: Can DeepMind win ‘Jeopardy’ and Watson win ‘Go’? […]We are indeed living in interesting times, where we celebrate human-built machines defeating the best human minds at variety of activities. IBM Deep Blue’s win against Chess champion Gary kasparov in 1997, IBM watson acing Jeopardy in 2011 and now Google DeepMind reportedly wining ‘Go’ […]
[Data Science Central] BigDataFr recommends: Spectral Clustering – How Math is Redefining Decision Making
BigDataFr recommends: Spectral Clustering – How Math is Redefining Decision Making […] In today’s world of big data and the internet of things, it is common for a business to find itself sitting atop a mountain of data. Possessing it is one thing, but leveraging it for data driven decision making is a much different […]
[Data Science Central] BigDataFr recommends: Can A Cow be an IoT Platform?
BigDataFr recommends: Can A Cow be an IoT Platform? […]This is my favorite IoT story which I first heard from Joseph Sirosh, CVP of Machine Learning for Microsoft at the spring Strata convention in San Jose. We are so used to IoT platforms being physical objects like cars or thermostats or gaming consoles that we […]
[arXiv] BigDataFr recommends: Big Data Processing in Complex Hierarchical Network Systems
BigDataFr recommends: Big Data Processing in Complex Hierarchical Network Systems […]This article covers the problem of processing of Big Data that describe process of complex networks and network systems operation. It also introduces the notion of hierarchical network systems combination into associations and conglomerates alongside with complex networks combination into multiplexes. The analysis is provided […]
[Data Science Central] BigDataFr recommends: Citizen Data Scientist – Care, Feeding and Control
BigDataFr recommends: Citizen Data Scientist – Care, Feeding and Control […]Thanks to Gartner the term ‘Citizen Data Scientist’ has become ingrained in our professional literature, in the strategies of analytic platform developers, and even in the strategies of companies committed to advanced analytics. Gartner also recently forecast that the ranks of the Citizen Data Scientist […]
[arXiv] BigDataFr recommends: Crisis Analytics: Big Data Driven Crisis Response
BigDataFr recommends: Crisis Analytics: Big Data Driven Crisis Response […]Disasters have long been a scourge for humanity. With the advances in technology (in terms of computing, communications, and the ability to process and analyze big data), our ability to respond to disasters is at an inflection point. There is great optimism that big data tools […]
[Data Science Central] BigDataFr recommends: The Life of a Data Scientist ( Data Land Scape)
BigDataFr recommends: The Life of a Data Scientist ( Data Land Scape) […] Data scientists are big data wranglers. They take an enormous mass of messy data points (unstructured and structured) and use their formidable skills in math, statistics and programming to clean, massage and organize them. Then they apply all their analytic powers – […]
[Data Science Central] BigDataFr recommends: Apache Spark and R : The best of both worlds
BigDataFr recommends: Apache Spark and R : The best of both worlds. As folks working in the field of Data Science and Analytics would know, R is one of the best languages to do data analytics and machine learning. Its simple and easy to use syntax and support for a huge library of capabilities makes […]
[Data Science Central] BigDataFr recommends: 19 Worst Mistakes at Data Science Job Interviews
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. […]