[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 […]

[Stage Big Data à Paris] Stage @NexworldFr : Big Data: Solutions d’Acquisition et d’analyse de données (H/F) – Stage Conventionné (fin d’études) – 6 mois

Postuler maintenant Stage Nexworld : Big Data: Solutions d’Acquisition et d’analyse de données : Quelles solutions pour quels besoins ? (H/F) Stage Conventionné (fin d’études) – 6 mois Lieu : Paris 17è BIGDATA: SOLUTIONS D’ACQUISITION ET D’ANALYSE DE DONNEES: QUELLES SOLUTIONS POUR QUELS BESOINS ? Le foisonnement de données est une réalité à laquelle toutes […]