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 […]
Documentation
[CNRS Le Journal] BigDataFr recommande : Les algorithmes menacent-ils la démocratie?
BigDataFr recommande : Les algorithmes menacent-ils la démocratie? […] Naguère inconnu du grand public, le terme « algorithme » cristallise maintenant sur lui les espoirs et les craintes suscitées par la révolution du big data. Pourtant, la notion d’algorithme a été définie et utilisée par les mathématiciens et les informaticiens bien avant de devenir un […]
[O’R] BigDataFr recommends: Ideas on interpreting machine learning
BigDataFr recommends: Ideas on interpreting machine learning You’ve probably heard by now that machine learning algorithms can use big data to predict whether a donor will give to a charity, whether an infant in a NICU will develop sepsis, whether a customer will respond to an ad, and on and on. Machine learning can even […]
[Datasciencecentral] BigDataFr recommends: The Future Is Intelligent Apps
BigDataFr recommends: The Future Is Intelligent Apps […] I have seen the future! Of course, I seem to say that every other month (maybe that’s because the future keeps changing?), but this is a good one. The future is a collision between big data (and data science) and application development that will yield a world […]
[Les Clés de Demain – Le Monde] BigDataFr recommande le dossier : Datacenter, comment fais-tu battre mon cœur ?
BigDataFr recommande : Datacenter, comment fais-tu battre mon cœur ? […] Aujourd’hui, chacun de nous est connecté à un datacenter. Nos smartphones, nos ordinateurs, nos objets, du frigo au pacemaker, sont connectés. Ils envoient et reçoivent en continu pléthore d’informations qui transitent toutes par ces immenses « hôtels à données ». Ils sont devenus les […]
[Analyticsvidhya] BigDataFr recommends: Introduction to Gradient Descent Algorithm (along with variants) in Machine Learning
BigDataFr recommends: Introduction to Gradient Descent Algorithm (along with variants) in Machine Learning Introduction […] Optimization is always the ultimate goal whether you are dealing with a real life problem or building a software product. I, as a computer science student, always fiddled with optimizing my code to the extent that I could brag about […]
[arXiv] BigDataFr recommends: Big Data for Social Sciences: Measuring patterns of human behavior through large-scale mobile phone data
BigDataFr recommends: Big Data for Social Sciences: Measuring patterns of human behavior through large-scale mobile phone data Subjects: Computers and Society (cs.CY); Social and Information Networks (cs.SI) […] ABSTRACT Through seven publications this dissertation shows how anonymized mobile phone data can contribute to the social good and provide insights into human behaviour on a large […]
[Dataconomy] BigDataFr recommends: 25 Big Data Terms Everyone Should Know
BigDataFr recommends: 25 Big Data Terms Everyone Should Know […] If you are new to the field, Big Data can be intimidating! With the basic concepts under your belt, let’s focus on some key terms to impress your date, your boss, your family, or whoever. Let’s get started: Algorithm: A mathematical formula or statistical process […]
[arXiv] BigDataFr recommends: Cloud-based Deep Learning of Big EEG Data for Epileptic Seizure Prediction
BigDataFr recommends: Cloud-based Deep Learning of Big EEG Data for Epileptic Seizure Prediction Subjects: Learning (cs.LG); Machine Learning (stat.ML) […] ABSTRACT Developing a Brain-Computer Interface~(BCI) for seizure prediction can help epileptic patients have a better quality of life. However, there are many difficulties and challenges in developing such a system as a real-life support for […]
[analyticsvidhya] BigDataFr recommends: Comprehensive & Practical Inferential Statistics Guide for data science
BigDataFr recommends: Comprehensive & Practical Inferential Statistics Guide for data science […] Introduction Statistics is one of the key fundamental skills required for data science. Any expert in data science would surely recommend learning / upskilling yourself in statistics. However, if you go out and look for resources on statistics, you will see that a […]