BigDataFr recommande : L’émergence des nouveaux métiers de la « data » se heurte au manque de diplômés […] « Chief data officer » (CDO), « data protection officer » (DPO), « data scientist »… Acronymes et néologismes fleurissent dans les organigrammes des entreprises autour de la « data », ces données désormais collectées en […]
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[Analyticbridge] BigDataFr recommends: Making data science accessible – Markov Chains
BigDataFr recommends: Making data science accessible – Markov Chains […] What are Markov Chains? A Markov chain is a random process with the property that the next state depends only on the current state. For example: If you have the choice of red or blue twice the process would be Markovian if each time you […]
[Analytics Vidhya] BigDataFr recommends: Comprehensive learning path – Data Science in Python
BigDataFr recommends: 15 Must Read Books for Entrepreneurs in Data Science […] Journey from a Python noob to a Kaggler on Python So, you want to become a data scientist or may be you are already one and want to expand your tool repository. You have landed at the right place. The aim of this page […]
[informationweek] BigDataFr recommends: 12 Inspiring Women In Data Science, Big Data
BigDataFr recommends: 12 Inspiring Women In Data Science, Big Data Good salaries and career prospects make technology a great choice for those who have an aptitude for math, logic, science, coding, and similar disciplines. However, the field has notably lacked large numbers of women within its ranks, but can big data be changing that? Data […]
[Les Echos] BigDataFr recommande : Analyser le déluge de données, une aubaine pour les grandes entreprises
BigDataFr recommande : Analyser le déluge de données, une aubaine pour les grandes entreprises […] Prédire les pannes dans une usine, calculer l’impact de la création d’une nouvelle ligne de métro sur la densité d’un quartier, ou encore imaginer la voiture de vos rêves… Autant de sujets qui peuvent être traités par des algorithmes qui […]
[College de France – Yann Le Cun] BigDataFr recommande : L’apprentissage Profond: Une Révolution en Intelligence Artificielle (text in english)
BigDataFr recommande: L’apprentissage Profond: Une Révolution en Intelligence Artificielle Leçon Inaugurale au Collège de France Chaire Annuelle 2015-2016 Informatique et Sciences Numériques […] Should We Copy the Brain to Build Intelligent Machines? The brain is an existence proof of intelligent machines – The way birds and bats were an existence proof of heavier-than-air flight Shouldn’t […]
[arXiv] BigDataFr recommends: Big Data Analytics Using Cloud and Crowd
BigDataFr recommends: Big Data Analytics Using Cloud and Crowd […]The increasing application of social and human-enabled systems in people’s daily life from one side and from the other side the fast growth of mobile and smart phones technologies have resulted in generating tremendous amount of data, also referred to as big data, and a need […]
[arXiv] BigDataFr recommends: From Big Data To Important Information
BigDataFr recommends: From Big Data To Important Information […]Advances in science are being sought in newly available opportunities to collect massive quantities of data about complex systems. While key advances are being made in detailed mapping of systems, how to relate this data to solving many of the challenges facing humanity is unclear. The questions […]
[Data Science Central] BigDataFr recommends: Citizen Data Scientist – Care, Feeding and Control
BigDataFr recommends: Citizen Data Scientist – Care, Feeding and Control […]Thanks to Gartner the term ‘Citizen Data Scientist’ has become ingrained in our professional literature, in the strategies of analytic platform developers, and even in the strategies of companies committed to advanced analytics. Gartner also recently forecast that the ranks of the Citizen Data Scientist […]
[arXiv] BigDataFr recommends: Crisis Analytics: Big Data Driven Crisis Response
BigDataFr recommends: Crisis Analytics: Big Data Driven Crisis Response […]Disasters have long been a scourge for humanity. With the advances in technology (in terms of computing, communications, and the ability to process and analyze big data), our ability to respond to disasters is at an inflection point. There is great optimism that big data tools […]