BigDataFr recommends: Interview with Gideon Mann, Head of Data Science at Bloomberg Interview with Gideon Mann, Head of Data Science at Bloomberg, where he guides the strategic direction for machine learning, natural language processing, and search on the core terminal. He joined Bloomberg from Google Research. At Google, in addition to academic research, his team […]
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[DATACONOMY – Tips] BigDataFr recommends: 4 steps to help kickstart your data cleaning project
BigDataFr recommends: “4 steps to help kickstart your data cleaning project Are you considering carrying out or outsourcing a data cleaning project? Find out how to start. Data quality problems At present companies face the challenge of maintaining ever growing collections of data about their customers. This data is often incorrect (e.g. contains duplicate entries), […]
[HAL] BigDataFr recommande : Contributions à l’exploration de données environnementales, écologiques, médicales et archéologiques
BigDataFr recommande: Contributions à l’exploration de données environnementales, écologiques, médicales et archéologiques Abstract Mon activité de recherche s’articule autour de l’exploration de données. L’exploration de données nécessite de réelles collaborations pluridisciplinaires qui ne prennent sens qu’en s’inscrivant dans la durée. C’est seulement à cette condition que le statisticien peut, après s’être imprégné de l’autre discipline, […]
[Analyticsvidhya – Tutorial] BigDataFr recommends: Getting Started with GraphLab For Machine Learning in Python #machinelearning
BigDataFr recommends: Tutorial – Getting Started with GraphLab For Machine Learning in Python/a> Introduction GraphLab came as an unexpected breakthrough on my learning plan. After all, ‘ Good Things Happen When You Expect Them Least To Happen’. It all started with the end of Black Friday Data Hack. Out of 1200 participants, we got our […]
[LeMagIt – Avis d’Expert] BigDataFr recommande : Big Data – de la solution technologique à la création de valeur, par Xebia #datascientist
BigDataFr recommande: Big Data – de la solution technologique à la création de valeur, par Xebia Le Big Data lève les barrières qui existaient jusqu’alors dans l’analyse fine des données. Reste encore à l’exploiter dans l’entreprise et à s’entourer des bons profils. Amine Benhenni, Chief Data Scientist chez Xebia fait le point sur la question. […]
[DATACONOMY – ITV] BigDataFr recommends: I often warn data analysts not to underestimate the power of small data #datascientist
BigDataFr recommends: “I often warn data analysts not to underestimate the power of small data” – Interview with Data Mining Consultant Rosaria Silipo What project have you worked on do you wish you could go back to, and do better? There is not such a thing like the perfect project! As close as you can […]
[B.O.B – Business Over Broadway] BigDataFr recommends: Data Scientists and the Practice of Data Science #datascientist
BigDataFr recommends: Data Scientists and the Practice of Data Science What is a Data Scientist? Data Scientist Skills Figure 1. The three skills of data scientists As more data professionals are now calling themselves data scientists, it’s important to clarify exactly what a data scientist is. One way to understand data scientists is to understand […]
[O’R] BigDataFr recommends: What to look for in a data scientist #datascientist
BigDataFr recommends: What to look for in a data scientist How an algorithm is to a data scientist what a compound microscope is to a biologist What’s commonly expected from a data scientist is a combination of subject matter expertise, mathematics, and computer science. This is a tall order and it makes sense that there […]
[analyticsvidhya] BigDataFr recommends: Lifetime Lessons: 20 Things Every Data Scientist Must Know Today #datascientist
BigDataFr recommends: Lifetime Lessons: 20 Things Every Data Scientist Must Know Today I’ve spent close to a decade in data science & analytics now. Over this period, I have learnt new ways of working on data sets and creating interesting stories. However, before I could succeed, I failed numerous times. Success doesn’t come easy! How […]
[HAL] BigDataFr recommends: Hierarchical Label Partitioning for Large Scale Classification
BigDataFr recommends: Hierarchical Label Partitioning for Large Scale Classification Abstract Extreme classification task where the number of classes is very large has received important focus over the last decade. Usual efficient multi-class classification approaches have not been designed to deal with such large number of classes. A particular issue in the context of large scale […]