際際滷shows by User: hobsonlane1 / http://www.slideshare.net/images/logo.gif 際際滷shows by User: hobsonlane1 / Thu, 06 Jul 2017 18:55:36 GMT 際際滷Share feed for 際際滷shows by User: hobsonlane1 Hobson lane-predictive-analytics-innovation-summit-san-diego-2015 /slideshow/hobson-lanepredictiveanalyticsinnovationsummitsandiego2015/77587763 hobson-lane-predictive-analytics-innovation-summit-san-diego-2015-170706185537
Predicting energy consumption in commercial buildings. Natural language processing of technician repair comments. Estimating tumbling spacecraft state from aliased sensor data.]]>

Predicting energy consumption in commercial buildings. Natural language processing of technician repair comments. Estimating tumbling spacecraft state from aliased sensor data.]]>
Thu, 06 Jul 2017 18:55:36 GMT /slideshow/hobson-lanepredictiveanalyticsinnovationsummitsandiego2015/77587763 hobsonlane1@slideshare.net(hobsonlane1) Hobson lane-predictive-analytics-innovation-summit-san-diego-2015 hobsonlane1 Predicting energy consumption in commercial buildings. Natural language processing of technician repair comments. Estimating tumbling spacecraft state from aliased sensor data. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/hobson-lane-predictive-analytics-innovation-summit-san-diego-2015-170706185537-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Predicting energy consumption in commercial buildings. Natural language processing of technician repair comments. Estimating tumbling spacecraft state from aliased sensor data.
Hobson lane-predictive-analytics-innovation-summit-san-diego-2015 from Hobson Lane
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https://cdn.slidesharecdn.com/profile-photo-hobsonlane1-48x48.jpg?cb=1523314336 I love developing autonomous devices and systems and am committed to proactive openness -- open source, open data, open science, open standards, open APIs. Recently I've become enthralled with hyperparameter optimization, neural nets, and "meta" models that learn to efficiently architect machine learning models. Recently, our hyperparameter optimization pipeline at Talentpair revealed a novel technique for embedding high-dimensional topic vectors in a 2-D space. We're using this embedding to index the semantics of resumes and job descriptions to help job seekers find their dream job in record time. I pride myself in authentic, open communication. I share what I learn with those around ... http://hobsonlane.com