BigDataFr recommends: 5 secrets for writing the perfect data scientist resume/strong> Data scientists are in demand like never before, but nonetheless, getting a job as a data scientist requires a resume that shows off your skills. At The Data Incubator, we’ve received tens of thousands of resumes from applicants for our free Data Science Fellowship. […]
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[Datasciencecentral – Top] BigDataFr recommends: 40 Techniques Used by Data Scientists
BigDataFr recommends: 40 Techniques Used by Data Scientists […] These techniques cover most of what data scientists and related practitioners are using in their daily activities, whether they use solutions offered by a vendor, or whether they design proprietary tools. When you click on any of the 40 links below, you will find a selection […]
[Déjà juillet : don’t miss the deadline!] Les inscriptions au Master 2 Datascience de Paris-Saclay se terminent #datascientist
#DataScientist: Don’t miss the deadline! Les inscriptions au Master 2 Data Science de Paris-Saclay se terminent ! Inscrivez-vous maintenant Modalités de candidature Guide de l’inscription en ligne Master 2 Mathématiques et applications, Parcours Data Sciences ENSAE ParisTech, ENSTA-ParisTech, École Polytechnique, Télécom ParisTech – Université Paris Sud Responsable : Eric Moulines (École Polytechnique, Centre Mathématiques Appliquées) Patrick Duvaut, […]
[Dataconomy – ITV #Datascientist] BigDataFr recommends: Fashion needs ‘datafication’ that clearly benefits fashion” – Jessica Graves
BigDataFr recommends: “Fashion needs ‘datafication’ that clearly benefits fashion.” – Interview with Data Scientist Jessica Graves […] Peadar Coyle “1. What project have you worked on do you wish you could go back to, and do better? Jessica Graves: « I worked with Dr. Laurens Mets on an iteration of the technology behind Electrochaea, a device […]
[Analyticsvidhya – Tip] BigDataFr recommends: 12 Free Mind Mapping Tools For a Data Scientist To Enhance Structured Thinking
BigDataFr recommends: 12 Free Mind Mapping Tools For a Data Scientist To Enhance Structured Thinking […] Let us start this with a simple exercise, the kind of which every data scientist faces regularly: « You have been appointed as a store manager for our worst performing store. What are the possible factors / changes you would […]
[arXiv] BigDataFr recommends: Limited Random Walk Algorithm for Big Graph Data Clustering
BigDataFr recommends: Limited Random Walk Algorithm for Big Graph Data Clustering Subjects: Social and Information Networks (cs.SI); Physics and Society (physics.soc-ph) […]Graph clustering is an important technique to understand the relationships between the vertices in a big graph. In this paper, we propose a novel random-walk-based graph clustering method. The proposed method restricts the reach […]
[Dataconomy] BigDataFr recommends: What Recruiters and Hiring Managers Are Looking for in a Data Scientist
BigDataFr recommends: What Recruiters and Hiring Managers Are Looking for in a Data Scientist […]“What makes me stand out as a candidate for a data scientist role?” We’ve heard this question asked many different ways – over beers at a Meetup or in a Reddit forum. Whether you’re a new data scientist or just researching […]
[Datasciencecentral] BigDataFr recommends: The challenges of word embeddings #deeplearning
BigDataFr recommends: The challenges of word embeddings […] In recent times deep learning techniques have become more and more prevalent in NLP tasks; just take a look at the list of accepted papers at this year’s NAACL conference, and you can’t miss it. We’ve now completely moved away from traditional NLP approaches to focus on […]
[O’R] BigDataFr recommends: Future-proof and scale-proof your code
BigDataFr recommends: Future-proof and scale-proof your code Many of the students I work with in my big data classes don’t actually have big data problems; instead, they’re worried about future-proofing their code. These students are hoping that when they do have big data to process and analyze, they’ll be ready. Becoming scale-proof Future-proofing code means […]
[ISPRS – Paper] BigDataFr recommends: Nasa Web Worldwind: Multidimensional Virtual Globe For Geo Big Data Visualization
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume XLI-B2, 2016 XXIII ISPRS Congress, 12–19 July 2016, Prague, Czech Republic BigDataFr recommends: Nasa Web Worldwind: Multidimensional Virtual Globe For Geo Big Data Visualization Commission II/ThS 12- Location – based Social Media Data Key words: Virtual Globe, Data Visualization, Big geo-data, Web […]