Entries by Andreas Holzinger

Machine Learning Guide

The Machine Learing Guide by Tyler RENELLE (Tensor Flow, O-C-Devel) is highly recommendable to my students! This series aims to teach the high level fundamentals of machine learning with a focus on algorithms and some underlying mathematics, which is really great. http://ocdevel.com/podcasts/machine-learning      

Cross Domain Conference for Machine Learning & Knowledge Extraction

cd-make.net Call for Papers – due to May, 15, 2017 http://www.wikicfp.com/cfp/servlet/event.showcfp?eventid=61244&copyownerid=17803 Call for Papers due to May, 15, 2017 International IFIP Cross Domain Conference for Machine Learning & Knowledge Extraction CD-MAKE in Reggio di Calabria (Italy) August 29 – September 1, 2017 https://cd-make.net CD stands for Cross-Domain and means the integration and appraisal of different […]

Stan: A probabilistic programming language

A long time ago submitted paper from the Stan developers http://mc-stan.org/ has finally been appeared at the Journal of statistical software: https://www.jstatsoft.org Carpenter, B., Gelman, A., Hoffman, M., Lee, D., Goodrich, B., Betancourt, M., Brubaker, M. A., Guo, J., Li, P. & Riddell, A. 2017. Stan: A probabilistic programming language. Journal of Statistical Software, 76, […]

Call for Papers – Privacy Aware Machine Learning PAML due to April, 1, 2017

Privacy Aware Machine Learning (PAML) for Health Data Science Special Session on September, 1, 2017, organized by Andreas HOLZINGER, Peter KIESEBERG, Edgar WEIPPL and A Min TJOA in the context of the 12th International Conference on Availability, Reliability and Security (ARES and CD-ARES), Reggio di Calabria, Italy, August 29 – September, 2, 2017 Session Homepage […]

3,2 Trillion USD on health per year

The U.S. spends more on health care than any other country Dieleman et al. (2016) just (Dec, 27, 2016) published a paper [1] which discusses data from the National Health Expenditure Accounts to estimate US spending on personal health care and public health, according to condition, age and sex group, and type of care. This […]

LNAI 9605 Machine Learning for Health Informatics available

14.12.2016 LNAI 9605 just appeared Machine Learning for Health Informatics Lecture Notes in Artificial Intelligence LNAI 9605 Holzinger, Andreas (ed.) 2016. Machine Learning for Health Informatics: State-of-the-Art and Future Challenges. Cham: Springer International Publishing, doi:10.1007/978-3-319-50478-0 [book homepage] Machine learning (ML) is the fastest growing field in computer science, and Health Informatics (HI) is amongst the […]

NIPS 2016 is over

A crazy 5700-people event is over: NIPS 2016 in Barcelona. Registration on Sunday, 4th December, on Monday, 5th traditionally the tutorials were presented concluded by the first keynote talk given by Yann LeCun (now director at Facebook AI research) and completed by the official opening and the first poster presentation.  On Tuesday, Dec 6th, after […]

Machine Learning with Fun

Google Research hosts a number of very interesting so-called A.I. experiments. There you can play with machine learning algorithms in a very amusing way. A recent example is QUICK, DRAW *). This is an online guessing game that challenges humans to hand sketch (called doodles) a given object. The game uses a  neural network to […]

Visualization of High Dimensional Data

Google is doing experiments with visualization of high dimenisonal data. This experiment helps visualize what’s happening in machine learning. It allows coders to see and explore their high-dimensional data. The goal is to eventually make this an open-source tool within TensorFlow, so that any coder can use these visualization techniques to explore their data. Built […]