BigDataFr recommends: The 200 billion dollar chatbot disruption In 2014, Facebook acquired WhatsApp for $19 billion. That astronomical number set off waves of speculation as to what value Facebook could possibly see in a company with just 55 employees and roughly $20 million in revenue, although it had 500 million users. At last week’s F8 […]
Documentation
[Techcrunch] BigDataFr recommends: Strengthening authentication through big data
BigDataFr recommends: Strengthening authentication through big data […]The fact that plain passwords are no longer safe to protect our digital identities is no secret. For years, the use of two-factor authentication (2FA) and multi-factor authentication (MFA) as a means to ensure online account security and prevent fraud has been a hot topic of discussion. Technological […]
[Big Data à Paris : Inscrivez-vous !] 21 juin 2016 – MATLAB Expo France, spécial #Data Analytics et #Machine Learning
A ne pas manquer : 21 juin 2016 – MATLAB Expo France, une journée unique pour le Data Analytics et le Machine Learning Conférence gratuite – inscription obligatoire : cliquer ici Vous vous intéressez aux thématiques du Big Data, Machine Learning, aux algorithmes d’analyse prédictive ou encore aux avancées en matière de Deep Learning ? […]
[Tutorial – Arun Kejariwal] BigDataFr recommends: Real Time Analytics: Algorithms and Systems
BigDataFr recommends: Real Time Analytics: Algorithms and Systems By Arun Kejariwal, Statistical Learning Principal at Machine Zone, Inc In this tutorial, an in-depth overview of streaming analytics — applications, algorithms and platforms — landscape is presented. We walk through how the field has evolved over the last decade and then discuss the current challenges — […]
[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 […]
[Analyticbridge] BigDataFr recommends: Machine Learning with Python- Why do they form the best combination
BigDataFr recommends: Machine Learning with Python- Why do they form the best combination […] Machine Learning is being hailed as “Next Generation Analytics”. Machine Learning tasks can be roughly classified as – -Getting the data -Cleaning the data -Applying ML algorithms -Put the churned data in visualizations -Publish the results so that clients consume the […]
[Usine Nouvelle] BigDataFr recommande : Le Big Data, levier de croissance pour les équipementiers automobiles
BigDataFr recommande: Les gagnants et les perdants de l’entrée du big data dans les mines […] Le secteur de l’automobile est probablement l’un de ceux qui est le plus étroitement lié à la notion d’innovation. Son histoire est jalonnée d’innovations marquantes qui ont été autant de progrès majeurs au service du confort et de la […]
[Datanami] BigDataFr recommends: Apache Beam’s Ambitious Goal: Unify Big Data Development
BigDataFr recommends: Apache Beam’s Ambitious Goal: Unify Big Data Development […] If you’re tired of using multiple technologies to accomplish various big data tasks, you may want to consider Apache Beam, a new distributed processing tool from Google that’s now incubating at the ASF. One of the challenges of big data development is the need […]
[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 […]