Hot or Not: Data Science Trends in 2015
CrowdFlower infographic predicts the hot trends for data science in 2015 and which trends will fade away.
on Dec 24, 2014 in CrowdFlower, Data Democratization, Data Science, Infographic, Predictions for 2015, Social Good, Trends
Interview: Brian Hampton, San Francisco 49ers on Playing Football the Analytics Way
We discuss the role of analytics in football, the underrated challenges, evolution since the era of draft trade value chart and analytics-supported team selection.
on Dec 19, 2014 in Analytics, Brian Hampton, Challenges, Coaching, Competition, Football, NFL, Sports, Team
Interview: Daqing Zhao, Macys.com on Building Effective Data Models for Marketing
We discuss the challenges in identifying the fair price of ad media, recommendations for building effective models for online marketing, unique challenges of Mobile channel, selection of Big Data tools, and more.
on Dec 11, 2014 in Daqing Zhao, Data Models, Data Science Skills, Hadoop, Interview, Macy's, Marketing, Mobile, Tools
Geoff Hinton AMA: Neural Networks, the Brain, and Machine Learning
In a wide-ranging Q&A, Geoff Hinton addresses the future of deep learning, its biological inspirations, and his research philosophy.
on Dec 9, 2014 in Backpropagation, Deep Learning, Geoff Hinton, Michael Jordan, Neural Networks, Neuroscience, Zachary Lipton
Geoffrey Hinton talks about Deep Learning, Google and Everything
A review of Dr. Geoffrey Hinton’s Ask Me Anything on Reddit. He talked about his current research and his thought on some deep learning issues.
on Dec 1, 2014 in Deep Learning, DeepMind, Geoff Hinton, Google, Neural Networks, Reddit, Yann LeCun
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