BigDataFr recommends: What it means to “go pro” in data science ‘My experience of being a data scientist is not at all like what I’ve read in books and blogs. I’ve read about data scientists working for digital superstar companies. They sound like heroes writing automated (near sentient) algorithms constantly churning out insights. I’ve read […]
Innovation
[HAL] BigDataFr recommends: NumaGiC – a Garbage Collector for Big Data on Big NUMA Machines #datascientist #machine learning
BigDataFr recommends: NumaGiC – a Garbage Collector for Big Data on Big NUMA Machines Introduction (excerpt) ‘Data-analytics programs require large amounts of computing power and memory. When run on modern multicore computers with a cache-coherent Non-Uniform Memory Access (ccNUMA) architecture, they suffer from a high overhead during garbage collection (GC) caused by a bad memory […]
[arXiv] BigDataFr recommends: Improving Big Data Visual Analytics with Interactive Virtual Reality #datascientist #machine learning
BigDataFr recommends: Improving Big Data Visual Analytics with Interactive Virtual Reality ‘For decades, the growth and volume of digital data collection has made it challenging to digest large volumes of information and extract underlying structure. Coined ‘Big Data’, massive amounts of information has quite often been gathered inconsistently (e.g from many sources, of various forms, […]
[Forbes] Google’s Nest -Big Data And The Internet Of Things In The Connected Home
BigDataFr recommends: Google’s Nest -Big Data And The Internet Of Things In The Connected Home ‘Formed by ex-Apple engineers, Nest Labs develops products designed to bring Big Data and the Internet of Things into our homes via its smart thermostats, fire alarms and security cameras. The company was bought out by Google last year for […]
[Blue Yonder] Algorithms Are the Engine of Digitalization
BigDataFr recommends: Algorithms Are the Engine of Digitalization ‘At the beginning of July, we held our fourth Big Data & Analytics Congress (we call it the Datalympics), where participants learned how to better master digital change. The focus was on how companies can drive their business-process optimization, for example using automated materials planning, Industry 4.0, […]
[FrenchWeb Day Startup – Video] BigDataFr recommande : eCommerce – mettre la data et le shopping analytics au service du client
BigDataFr recommande : eCommerce – mettre la data et le shopping analytics au service du client « A l’occasion du FrenchWeb Day Startup qui a eu lieu le 17 juin 2015, Frenchweb a interrogé David Bessis, le fondateur de Tinyclues, sur le thème: «E-commerce : Mettre la data et le shopping analytic au service du client». » […]
[BFMTV] BigDataFr recommande : 750g crée un resto où les recettes des internautes composent le menu
BigDataFr recommande : 750g crée un resto où les recettes des internautes composent le menu « Les restaurants aussi se convertissent au big data. C’est en tout cas la démarche de ce chef Damien Duquesne alias « Chef Damien » bien connu des habitués du site de recette 750g qu’il a cofondé avec son frère Jean-Baptiste Duquesne. Pourquoi […]
[kdnuggets]BigDataFr recommends: Can deep learning help find the perfect date? #machine learning
BigDataFr recommends: Can deep learning help find the perfect date? ‘When a Machine Learning PhD student at University of Montreal starts using Tinder, he soon realises that something is missing in the dating app – the ability to predict to which girls he is attracted. Harm de Vries applies Deep Learning to assist in the […]
[O’R] BigDataFr recommends: Handling Missing Data
BigDataFr recommends: Handling Missing Data ‘The difference between data found in many tutorials and data in the real world is that real-world data is rarely clean and homogeneous. In particular, many interesting datasets will have some amount of data missing. To make matters even more complicated, different data sources may indicate missing data in different […]
[La Tribune] BigDataFr recommande : IBM accélère dans le big data et la santé
BigdataFr recommande : IBM accélère dans le big data et la santé « Watson, le système d’intelligence artificielle d’IBM, qui est capable d’analyser en quelques secondes des quantités massives de données, va bientôt ajouter une nouvelle corde à son arc. En effet, le groupe américain a racheté Merge Healthcare, jeudi 6 août, et sa plateforme de […]