[Craig Kerstiens] BigDataFr recommends: Five Mistakes Beginners Make When Working With Databases

BigDataFr recommends: Five Mistakes Beginners Make When Working With Databases […] When you start out as a developer there’s an overwhelming amount of things to grasp. First there’s the language itself, then all the quirks of the specific framework you’re using,and after that (or maybe before) we’ll throw front-end development into the mix, and somewhere […]

[Fastcompany] BigDataFr recommends: Data.World Aims To Be The Social Network For Data Nerds

BigDataFr recommends: Data.World Aims To Be The Social Network For Data Nerds […] If the early to mid aughts were about developing all-encompassing social networks for everyone, now it’s about launching whole platforms targeted at a specific industry or subject—think of them like the chat rooms and message boards of web 1.0 but on steroids. […]

[Variance Explained] BigDataFr recommends: Does sentiment analysis work? A tidy analysis of Yelp reviews

BigDataFr recommends: Does sentiment analysis work? A tidy analysis of Yelp reviews […] This year Julia Silge and I released the tidytext package for text mining using tidy tools such as dplyr, tidyr, ggplot2 and broom. One of the canonical examples of tidy text mining this package makes possible is sentiment analysis. Sentiment analysis is […]

[Wired] BigDataFr recommends: Big Privacy Ruling Says Feds Can’t Grab Data Abroad With a Warrant

BigDataFr recommends: Big Privacy Ruling Says Feds Can’t Grab Data Abroad With a Warrant […] An appeals court just sent the American Justice Department a clear message about its ability to reach beyond US borders to collect data with a search warrant: Keep your hands to yourself. In Thursday’s landmark ruling, a panel of Second […]

[arXiv] BigDataFr recommends: Asynchronous Parallel Algorithms for Nonconvex Big-Data Optimization

BigDataFr recommends: Asynchronous Parallel Algorithms for Nonconvex Big-Data Optimization: Model and Convergence Subjects: Optimization and Control (math.OC); Distributed, Parallel, and Cluster Computing (cs.DC) […] We propose a novel asynchronous parallel algorithmic framework for the minimization of the sum of a smooth nonconvex function and a convex nonsmooth regularizer, subject to both convex and nonconvex constraints. […]

[Dataconomy] BigDataFr recommends: http://dataconomy.com/simplifying-data-acquisition-augmentation/

BigDataFr recommends: Simplifying Data acquisition & augmentation […] As can likely be expected, big data analytics is in the midst of an evolution. It’s a typical sight for nearly any new technology as experts and organizations get more used to all of its capabilities. Big data is certainly no exception to these changes, especially as […]

[Analyticsvidhya – Tip] BigDataFr recommends: How to start applying for Analytics / Data Science Masters in the US Universities?

BigDataFr recommends: How to start applying for Analytics / Data Science Masters in the US Universities? […] Planning a masters program in data science in US? But, not completely aware of the application process? Or afraid of the application process? Don’t worry. I’m here to help. I will take you through the complete process required […]

[Informationweek] BigDataFr recommends: 12 Types Of Data IT Can’t Afford To Overlook

BigDataFr recommends: 12 Types Of Data IT Can’t Afford To Overlook Your organization probably already has more data than it knows what to do with. Yet, it’s quite likely you’re overlooking, disregarding, unaware of, or unable to access important information that could directly affect analyses and business outcomes. It doesn’t matter what your universe of […]