BigDataFr recommends: Analyzing the Panama Papers with Neo4j: Data Models, Queries & More As the world has seen, the International Consortium of Investigative Journalists (ICIJ) has exposed highly connected networks of offshore tax structures used by the world’s richest elites. These structures were uncovered from leaked financial documents and were analyzed by the journalists. They […]
Documentation
[Data Science Central] BigDataFr recommends: 5 Obstacles Companies Face When Adopting a New Analytics Strategy
BigDataFr recommends: 5 Obstacles Companies Face When Adopting a New Analytics Strategy […] Analytics is a general term for a number of different processes, all of which are geared toward better understanding your demographics (or industry in general), and making improvements to your business’s infrastructure to account for those new insights. Unfortunately, whenever a company […]
[Analyticsbridge – Tutorial] BigDataFr recommends: Making data science accessible – Machine Learning – Tree Methods
BigDataFr recommends: Making data science accessible – MapReduce […] Tree methods are commonly used in data science to understand patterns within data and to build predictive models. The term Tree Methods covers a variety of techniques with different levels of complexity but my aim is to highlight three I find useful. To set the problem […]
[Mc Kinsey – ITV] BigDataFr recommends: How companies are using big data and analytics
BigDataFr recommends: How companies are using big data and analytics […] Few dispute that organizations have more data than ever at their disposal. But actually deriving meaningful insights from that data—and converting knowledge into action—is easier said than done. We spoke with six senior leaders from major organizations and asked them about the challenges and […]
[Dataconomy] BigDataFr recommends: 4 steps to neutralize a data scientist’s biggest threat #datascientist
BigDataFr recommends: 4 steps to neutralize a data scientist’s biggest threat […]There’s a scourge terrorizing data scientists and data science departments across the dataland. This plague infects even the best data scientists, causing missed deadlines, overrun budgets and undermined analyses. I call this beast “The Munge Monster.” The “Munge Monster” is the part of exploratory […]
[arXiv] BigDataFr recommends: Big Data Analytics Using Cloud and Crowd
BigDataFr recommends: Big Data Analytics Using Cloud and Crowd […]The increasing application of social and human-enabled systems in people’s daily life from one side and from the other side the fast growth of mobile and smart phones technologies have resulted in generating tremendous amount of data, also referred to as big data, and a need […]
[arXiv] BigDataFr recommends: From Big Data To Important Information
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 […]
[MIT] BigDataFr recommends: 50 years of Data Science
BigDataFr recommends: 50 years of Data Science Abstract […] More than 50 years ago, John Tukey called for a reformation of academic statistics. In ‘The Future of Data Analysis’, he pointed to the existence of an as-yet unrecognized science, whose subject of interest was learning from data, or ‘data analysis’. Ten to twenty years ago, […]
[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 […]