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 […]
Month: mars 2016
[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. […]