BigDataFr recommends: Why Data Scientists need to be good Data Storytellers? Storytelling is data with a soul. Data Scientists are extremely good with numbers but numbers alone are not sufficient to convey the results to the end user. Being a good data storyteller is an art as well as a science. Data Scientists take the […]
Documentation
[Opennews] BigDataFr recommends: Quick Guide to learn Statistics for R Users-with Titanic Data Set
BigDataFr recommends: Quick Guide to learn Statistics for R Users-with Titanic Data Set Excerpt Chase Davis lays down some data science upon us to change how you think about the questions you’re asking of your data. Big Data isn’t what you think it is: Every federal campaign contribution over the last 30-plus years amounts to […]
[Galvanize] BigDataFr recommends: What the Ashley Madison Hack Teaches Us about Ethics, Noisy Data and Machine Learning
BigDataFr recommends: What the Ashley Madison Hack Teaches Us about Ethics, Noisy Data and Machine Learning How is your data being used? Who is it being shared with? Data privacy is a major ethical issue facing data scientists. Access to and analysis of data can be a great benefit—personalized treatment is a remarkable convenience (like […]
[ICERM – Topical Workshop] BigDataFr recommends: Mathematics in Data Science – BigData Visual Analysis
BigDataFr recommends: Mathematics in Data Science – (July 28-30, 2015) – ICERM – Topical Workshops Topic: BigData Visual Analysis – Chris Johnson – University of Utah Brian Laball, Isani Cayetano Source: https://icerm.brown.edu/
[analyticsvidhya] BigDataFr recommends: Quick Guide to learn Statistics for R Users-with Titanic Data Set #datascientist
BigDataFr recommends: Quick Guide to learn Statistics for R Users-with Titanic Data Set People are keen to pursue their career as a data scientist. And why shouldn’t they be? After all, this comes with a pride of holding the sexiest job of this century. But, in order to become one, you must master ‘statistics’ in […]
[HAL] BigDataFr recommends: Towards Cloud big data services for intelligent transport systems
BigDataFr recommends: Towards Cloud big data services for intelligent transport systems Abstract In later years, the increase in computation power and data storage has opened new perspectives to data analysis. The possibility to analyse big data brings new insights into obscure and useful correlations in data providing undiscovered knowledge. Applying big data analytics to the […]
[arXiv] BigDataFr recommends: An Extended classification and Comparison of NoSQL Big Data Models
BigDataFr recommends: An Extended classification and Comparison of NoSQL Big Data Models In last few years, the volume of the data has grown manyfold. The data storages have been inundated by various disparate potential data outlets, leading by social media such as Facebook, Twitter, etc. The existing data models are largely unable to illuminate the […]
[HAL] BigDataFr recommends: Data-intensive HPC-opportunities and challenges #datascientist
BigDataFr recommends: Data-intensive HPC-opportunities and challenges Abstract Data-intensive computing and HPC are two different computing paradigms (data-centric versus compute-centric), targeting different application domains (mainly business data processing versus computational science). But with the advent of big data, the blending of these areas into data-intensive HPC offers new opportunities to solve bigger problems, as well as […]
[Clubic] BigDataFr recommande : Des chaussures connectées au big data, la santé de demain se dessine à Tokyo
BigDataFr recommande: Des chaussures connectées au big data, la santé de demain se dessine à Tokyo Une poignée de capteurs intégrés à la semelle d’une chaussure permettraient-ils d’améliorer significativement la vie de ceux qui la portent ? Au Ceatec de Tokyo, l’industrie montre comment des capteurs au traitement massif des données, la santé gagnerait à […]
[O’R] BigDataFr recommends: Five principles for applying data science for social good #datascientist
BigDataFr recommends: Five principles for applying data science for social good Editor’s note: Jake Porway expanded on the ideas outlined in this piece in his Strata + Hadooop World NYC 2015 keynote address, « What does it take to apply data science for social good? » “We’re making the world a better place.” That line echoes from […]