BigDataFr recommends: Benjamin Graham Meets Advanced Analytics 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 Netflix recommendations) and potential societal benefit (such as analyzing […]
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[H2o] BigDataFr recommends: How-to – Build a Machine-Learning App Using Sparkling Water and Apache Spark #machinelearning
BigDataFr recommends: Why Data Scientists need to be good Data Storytellers? The Sparkling Water project is nearing its one-year anniversary, which means Michal Malohlava, our main contributor, has been very busy for the better part of this past year. The Sparkling Water project combines H2O machine-learning algorithms with the execution power of Apache Spark. This […]
[Dezyre] BigDataFr recommends: Why Data Scientists need to be good Data Storytellers? #datascientist
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 […]
[EISTI] BigDataFr recommande : NCTU (Taïwan), nouveau partenaire international de l’EISTI
BigDataFr recommande : NCTU (Taïwan), nouveau partenaire international de l’EISTI L’EISTI poursuit son développement et élargit son offre de formation à l’international avec la signature d’un partenariat avec l’université taïwanaise National Chaio Tung University/NCTU. Les deux institutions ont conclu un partenariat dans les domaines suivants : Computer Science et Applied Mathematics, prévoyant des programmes d’échange […]
[Dezyre] BigDataFr recommends: Why Data Scientists need to be good Data Storytellers? #datascientist
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 […]
[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 […]
[Le Figaro Etudiant] BigDataFr recommande : Polytechnique va prédire où et quand des voitures seront volées
BigDataFr recommends: Polytechnique va prédire où et quand des voitures seront volées Prédire le futur, c’est possible! Pas tout, certes. Mais en se basant sur certains événements passés, on peut prévoir ce qui va arriver. Et plus on a de données, plus les prévisions deviennent précises. Voilà pourquoi l’École polytechnique a signé une convention avec […]
[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 […]
[LeMagIT] BigDataFr recommande : Les Power d’IBM deux fois moins chers pour faire du Big Data standard
BigDataFr recommande: Les Power d’IBM deux fois moins chers pour faire du Big Data standard Ouvrir la plateforme propriétaire au travers du consortium OpenPOWER a porté ses fruits : désormais, IBM propose des serveurs Linux bien plus efficaces que ceux de la concurrence pour construire des clusters Big Data avec Spark. Les machines Power d’IBM […]
[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/