[Observatoire des métiers de la banque] BigDataFr recommande : L’intelligence artificielle dans la banque : emploi et compétences

BigDataFr recommande: L’intelligence artificielle dans la banque : emploi et compétences […] L’Observatoire des métiers de la banque a pris la décision, par son Comité de pilotage paritaire, en date du 24 février 2017, d’engager une étude sur l’impact de l’intelligence artificielle (IA) sur les métiers et compétences. Cette étude s’inscrit dans la continuité des […]

[Forbes France] BigDataFr recommande : Comment L’Intelligence Artificielle Façonne Déjà Le Travail Du Futur

BigDataFr recommande : Comment L’Intelligence Artificielle Façonne Déjà Le Travail Du Futur […] Le co-fondateur de Google, Sergueï Brin nous a prévenu : « Nous ferons des machines qui raisonnent, pensent et travaillent mieux que les humains ». Les experts ne s’attendaient pas à ce qu’une machine batte le plus grand champion de go avant […]

[Datasciencecentral] BigDataFr recommends: Data Scientists – Are You Prepared For Your Next Interview?

BigDataFr recommends: Data Scientists – Are You Prepared For Your Next Interview? […] You’ve perfected your CV, got great experience under your belt, maybe a PhD and can wrangle data amongst the finest but just how prepared are you for your next interview? Just the thought of the face-to-face interview stage is enough to strike […]

[Dataconomy] BigDataFr recommends: FinTech in the Banking Environment

BigDataFr recommends: FinTech in the Banking Environment […] Who goes there, friend or foe? The emergence and development of innovative and flexible financial startups is causing a revolution in financial markets by proving that financial services can be built from the ground up, in response to real user needs. So much so that gaining customers’ […]

[Forbes France] BigDataFr recommande : 50 Prédictions Sur L’Intelligence Artificielle (IA) En 2018

BigDataFr recommande : Intelligence Artificielle : Votre Guide De Survie Face Au Buzz […] On ne prend pas trop de risques en prédisant que l’Intelligence Artificielle (IA) continuera à faire partie des tendances de 2018. Mais les 50 prédictions qui suivent, édictées par des professionnels du secteur, la voient devenir plus pratique et plus utile, […]

[MIT Technology Review] BigDataFr recommends: Google Has Released an AI Tool That Makes Sense of Your Genome

BigDataFr recommends: Google Has Released an AI Tool That Makes Sense of Your Genome […] Almost 15 years after scientists first sequenced the human genome, making sense of the enormous amount of data that encodes human life remains a formidable challenge. But it is also precisely the sort of problem that machine learning excels at. […]

[HAL] BigDataFr recommends: Predicting At-Risk Patient Profiles from Big Prescription Data

BigDataFr recommends: Predicting At-Risk Patient Profiles from Big Prescription Data Abstract […] We show how the analysis of very large amounts of drug prescription data make it possible to detect, on the day of hospital admission, patients at risk of developing complications during their hospital stay. We explore, for the first time, to which extent […]

[Datasciencecentral] BigDataFr recommends: Some Deep Learning with Python, TensorFlow and Keras

BigDataFr recommends: Some Deep Learning with Python, TensorFlow and Keras […] The following problems are taken from a few assignments from the coursera courses Introduction to Deep Learning (by Higher School of Economics) and Neural Networks and Deep Learning (by Prof Andrew Ng, deeplearning.ai). The problem descriptions are taken straightaway from the assignments. 1. Linear […]

[arXiv] BigDataFr recommends: A Big Data Analysis Framework Using Apache Spark and Deep Learning

BigDataFr recommends: A Big Data Analysis Framework Using Apache Spark and Deep Learning […] Subjects: Databases (cs.DB); Learning (cs.LG); Machine Learning (stat.ML) With the spreading prevalence of Big Data, many advances have recently been made in this field. Frameworks such as Apache Hadoop and Apache Spark have gained a lot of traction over the past […]

[Dataconomy] BigDataFr recommends: How big data technology is transforming fraud investigations

BigDataFr recommends: How big data technology is transforming fraud investigations […]The inside story of the Paradise Papers leak With more than 1,4 terabytes of data, the Paradise Papers is the illustration of the new possibilities for the fraud investigation world. Conducting investigations is a challenge in the age of big data. Massive volumes, unstructured and […]