We recently asked the speakers of MLconf San Francisco 2016 to share their favorite articles, books & papers with the MLconf audience. We hope you find this list interesting and educational! Daria Sorokina, Applied Scientist, A9(Amazon) Amazon Search: The Joy of Ranking Products Stephanie deWet, Software Engineer, Pinterest Yunsong Guo. Pinnability: Machine Learning in the […]
Our past Technical Chair, interviewed Numenta’s Austin Marshall about HTM’s Numenta’s view in Neural Networks/AI.
As recently as this spring, we’re seeing an influx of releases of bots in all industries, from lean startups to some of the largest companies in existence. According to VentureBeat, just this week, Microsoft announced that they have a relationship assistant in the works. According to the article and announcement, Microsoft will incorporate a mobile-friendly […]
Hussein Mehana, Director of Engineering, Facebook: https://arxiv.org/abs/1502.01710 Patrick Koch, Principal Data Scientist, and Funda Gunes, Sr. Research Statistician Developer, SAS Institute Inc: 1. Bottou, L., Curtis, F. E., Nocedal, J., Optimization Methods for Large-Scale Machine Learning,arXiv:1606.04838 [stat.ML], 2016. 2. Sutskever, I., Martens, J., Dahl, G. and Hinton, G., E. On the importance of initialization and momentum […]
We’re so grateful for the participating publishers that are sending books to be displayed and given away at MLconf Atlanta on Friday! We’re also displaying and giving out a collection of relevant machine learning books! Check them out! To Win Books: participate in our event-day twitter contest. The most interesting and unique tweets will be […]
What is topological behavior analysis? Topological Behavior Analysis (TBA) is the real-time algorithmic analysis of computer data that originates from complex virtualization and cloud environments. It derives from Topological Data Analysis that leverages K-means as its foundation. Computer environments have many different layers that generate a large volume of statistical data – from the user […]