ユーザー視点でのざっくりしたカルマンフィルタの解説です 正確なことは各自勉強してください. この講演は日本船舶海洋工学会 関西支部KFR(関西船舶海洋流体力学研究会)開催の 第349回KFRセミナー「カルマンフィルタの基礎・応用技術講座」 で行ったものです.
Jeff Clune introduces deep learning, describes how it is changing many fields of science and sectors of the economy, and then describes the work he has been involved in regarding how to visualize what feature each neuron in a neural network has learned to detect. For all of the papers, source code, and more video research summaries, see http://EvolvingAI.org Note: almost all of this work was do
Our fall 12-Week Data Science bootcamp starts on Sept 21st,2015. Apply now to get a spot! http://nycdatascience.com/bootcamp/ If you are hiring Data Scientists, call us at +1-888-752-7585 (USA) or reach us at info@nycdatascience.com to share your openings and set up interviews with our excellent students. --------------------------------------------------------------- Come join our meet-up and
If you know kaggle.com(the biggest data scientists competition platform), you must have known Owen Zhang. He has competed in and won several high profile challenges, and is currently ranked No. 1 out of a community of over 240,000 data scientists on Kaggle. Owen Zhang is the Chief Product Officer at DataRobot. Owen spent most of his career in the Property & Casualty insurance industry. Most recent
Owen Zhang - #1 Ranked Kaggle Data Scientist, Chief Product Officer at DataRobot Link to slides: http://www.slideshare.net/odsc/owen-zhangopen-sourcetoolsanddscompetitions1 This talk shares the presenter’s experience with open source tools in data science competitions. In the past several years Kaggle and other competitions have created a large online community of data scientists. In addition t
http://www.slideshare.net/PyData/gradient-boosted-regression-trees-in-scikit-learn-gilles-louppe This talk describes Gradient Boosted Regression Trees (GBRT), a powerful statistical learning technique with applications in a variety of areas, ranging from web page ranking to environmental niche modeling. GBRT is a key ingredient of many winning solutions in data-mining competitions such as the Net
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