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