[Analyticsvidhya] BigDataFr recommends: 5 AI applications in Banking to look out for in next 5 years

BigDataFr recommends: 5 AI applications in Banking to look out for in next 5 years “Machine intelligence is the last invention that humanity will ever need to make.”, Nick Bostrom Artificial intelligence is a reality today and it is impacting our lives faster than we can imagine. It is already present everywhere, from Siri in […]

[ArXiv] BigDataFr recommends: Big Data Analysis Using Shrinkage Strategies

BigDataFr recommends: Big Data Analysis Using Shrinkage Strategies […] In this paper, we apply shrinkage strategies to estimate regression coefficients efficiently for the high-dimensional multiple regression model, where the number of samples is smaller than the number of predictors. We assume in the sparse linear model some of the predictors have very weak influence on […]

[Big Data à Paris : Inscrivez-vous !] 30 mai 2017 – @MATLAB Expo France #DataAnalytics #MachineLearning #bigdata #machinelearning

Événement Big Data : 30 mai 2017 – 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 ? Venez […]

[SAS] BigDataFr recommends: Which machine learning algorithm should I use?

BigDataFr recommends: Which machine learning algorithm should I use? […] This resource is designed primarily for beginning data scientists or analysts who are interested in identifying and applying machine learning algorithms to address the problems of their interest. A typical question asked by a beginner, when facing a wide variety of machine learning algorithms, is […]

[ArXiv] BigDataFr recommends: Best Practices for Applying Deep Learning to Novel Applications

BigDataFr recommends: Best Practices for Applying Deep Learning to Novel Applications […] This report is targeted to groups who are subject matter experts in their application but deep learning novices. It contains practical advice for those interested in testing the use of deep neural networks on applications that are novel for deep learning. We suggest […]

[Analyticsvidhya] BigDataFr recommends: 40 Questions on Probability for data science

BigDataFr recommends: 40 Questions on Probability for data science – [Solution: SkillPower – Probability, DataFest 2017] Introduction […] Probability forms the backbone of many important data science concepts from inferential statistics to Bayesian networks. It would not be wrong to say that the journey of mastering statistics begins with probability. This skilltest was conducted to […]

[Analyticsvidhya] BigDataFr recommends: Feature Engineering in IoT Age – How to deal with IoT data and create features for machine learning?

BigDataFr recommends: Feature Engineering in IoT Age – How to deal with IoT data and create features for machine learning? Introduction […] If you ask any experienced analytics or data science professional, what differentiates a good model from a bad model – chances are that you will hear a uniform answer. Whether you call it […]

[Postulez maintenant !] : CTO / Directeur Technique Senior / Leader technique à Paris @Amaris

Postulez maintenant CTO / Directeur Technique Senior / Leader Technique à Paris Amaris, cabinet de conseil en Technologie et Management, recherche pour le compte d’un client start-up à très fort potentiel un/une : CTO / Directeur technique sénior / Leader technique Profil & Parcours Expérience(s) précédente(s) dans la direction / le développement d’application mobile (Android […]

[Google Research Blog] BigDataFr recommends: Distill: Supporting Clarity in Machine Learning

BigDataFr recommends: Distill: Supporting Clarity in Machine Learning […] Science isn’t just about discovering new results. It’s also about human understanding. Scientists need to develop notations, analogies, visualizations, and explanations of ideas. This human dimension of science isn’t a minor side project. It’s deeply tied to the heart of science. That’s why, in collaboration with […]

[Analyticsvidhya] BigDataFr recommends: Big Data Learning Path for all Engineers and Data Scientists out there

BigDataFr recommends: Big Data Learning Path for all Engineers and Data Scientists out there Introduction […] The field of big data is quite vast and it can be a very daunting task for anyone who starts learning big data & its related technologies. The big data technologies are numerous and it can be overwhelming to decide […]