BigDataFr recommends: The Scalable Langevin Exact Algorithm: Bayesian Inference for Big Data Subjects: Methodology (stat.ME); Computation (stat.CO) […] This paper introduces a class of Monte Carlo algorithms which are based upon simulating a Markov process whose quasi-stationary distribution coincides with the distribution of interest. This differs fundamentally from, say, current Markov chain Monte Carlo in […]
Month: septembre 2016
[Datasciencecentral] BigDataFr recommends: Finding Career Opportunities in AI
BigDataFr recommends: Finding Career Opportunities in AI […] If you’re a data scientist thinking about expanding your career options into AI you’ve got a forest and trees problem. There’s a lot going on in deep learning and reinforcement learning but do these areas hold the best future job prospects or do we need to be […]
[arXiv] BigDataFr recommends: Human-Algorithm Interaction Biases in the Big Data Cycle: A Markov Chain Iterated Learning Framework
BigDataFr recommends: Human-Algorithm Interaction Biases in the Big Data Cycle: A Markov Chain Iterated Learning Framework Comments: This research was supported by National Science Foundation grant NSF-1549981 Subjects: Learning (cs.LG); Human-Computer Interaction (cs.HC) […] Early supervised machine learning algorithms have relied on reliable expert labels to build predictive models. However, the gates of data generation […]
[Datasciencecentral] BigDataFr recommends: 5 Free Statistics eBooks You Need to Read This Autumn
BigDataFr recommends: 5 Free Statistics eBooks You Need to Read This Autumn […] Did you have a good, relaxing break over the summer? Are you refreshed and re-energised, looking forward to a new start, a new you and brushing up on your data analysis skills? If so, I’ve thrown together a collection of a few […]