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
IBM Watson Analytics vs. Microsoft Azure Machine Learning (Part 1)
IBM Watson Analytics prototype seeks to abstract away data science, taking ordinary natural language queries and answering them based on the content of uploaded datasets. Microsoft Azure Machine Learning goes the opposite route, streamlining existing data mining methodology for fast results and integration with MS's other cloud services.
on Dec 16, 2014 in Azure ML, Cloud Analytics, Data Mining Software, IBM Watson, Zachary Lipton
16 NoSQL, NewSQL Databases To Watch
NoSQL and NewSQL databases have become much more important with the proliferation of big, mobile, and networked data, and these sixteen database solutions are some of the biggest up-and-comers.
on Dec 15, 2014 in Hadoop, InformationWeek, MongoDB, NoSQL, Oracle, VoltDB
Most Demanded Data Science and Data Mining Skills
Our analysis of most demanded data scientist skills shows that Data Science is a team effort focused on business analytics, with top 5 platform skills being SQL, Python, R, SAS, and Hadoop.
on Dec 15, 2014 in Data Science Skills, Data Scientist, Hadoop, New York-NY, Python, R, SAS, Skills, SQL
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
SlamData Open Source Analytics Tool for MongoDB
SlamData is an open source SQL-based tool designed to make accessing data in MongoDB easy for developers and non-developers alike with the goal of making application intelligence easier.
on Dec 4, 2014 in MongoDB, NoSQL, Open Source, SlamData, SQL
Top 10 Big Data Companies by Revenue
IBM, HP, Dell, and SAP lead the list of Big Data companies with the most revenue from big data hardware, software, and IT services.
on Dec 1, 2014 in Big Data Vendors, Dell, HP, IBM, Revenue, SAP, SAS, Top 10, Wikibon
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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