Strata + Hadoop World 2016 - San Jose, California - Hardcore Data Science
MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 6 Hours | 1.72 GB
Genre: eLearning | Language: English


Hardcore Data Science
Lessons learned from building real-life machine-learning systems - Xavier Amatriain (Quora) 00:32:06
The how and why of feature engineering - Alice Zheng (Dato) 00:26:22
A scalable implementation of deep learning on Spark - Alexander Ulanov (Hewlett-Packard Labs) 00:26:39
BIDMach on Spark: Machine learning at the outer limits - John Canny (UC Berkeley) 00:34:25
Dynamic memory networks for visual and textual question answering - Stephen Merity (MetaMind) 00:25:59
Scalable ensemble learning with H2O - Erin Ledell (H2O.ai) 00:27:14
Detecting and scoring anomalies with calibrated probabilistic models - Alexander Gray (Skytree, Inc.) 00:27:41
Scalable collective reasoning in graphs - Lise Getoor (University of California, Santa Cruz) 00:29:57
Phase retrieval algorithms for gigapixel microscopy - Laura Waller (UC Berkeley) 00:29:52
TensorFlow: Machine learning for everyone - Rajat Monga (Google) 00:24:54
A deep dive into DeepDive - Mike Cafarella (University of Michigan) 00:27:55
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