IBM Big Data & Analytics Heroes
IBM's Big Data & Analytics Heroes include leaders in the field that propel the industry in order to promote thought leadership and progress in Big Data Analytics.
on Feb 26, 2015 in About Gregory Piatetsky, Analytics Leader, Big Data, Big Data Analytics, IBM, Jake Porway, Kirk D. Borne
Interview: David Kasik, Boeing on Data Analysis vs Data Analytics
We discuss the impact of increasing amount of data on visualization, difference between Data Analysis and Data Analytics, motivation, trends, desired skills and more.
on Feb 23, 2015 in 3D, Boeing, Career, Data Analysis, Data Analytics, David Kasik, Trends, Visualization
Google BigQuery Public Datasets
Google BigQuery is not only a fantastic tool to analyze data, but it also has a repository of public data, including GDELT world events database, NYC Taxi rides, GitHub archive, Reddit top posts, and more.
on Feb 20, 2015 in BigQuery, GDELT, Google, New York City, Reddit
Fun and Top! US States in 2 Words using twitteR
Combining twitteR package with text mining techniques and visualization tools can produce interesting outputs. Find out which US state is fun and top, and which is good and crazy, according to Twitter.
on Feb 19, 2015 in R, Text Mining, Twitter, USA
History of Data Science Infographic in 5 strands
History of Data Science infographic presents key events in Data Science across 5 strands: Computer Science, Data Technology, Visualization, Mathematics/OR, and Statistics.
on Feb 17, 2015 in About Gregory Piatetsky, Data Science, History
Automatic Statistician and the Profoundly Desired Automation for Data Science
The Automatic Statistician project by Univ. of Cambridge and MIT is pushing ahead the frontiers of automation for the selection and evaluation of machine learning models. In general, what does automation mean to Data Science?
on Feb 17, 2015 in Automation, Cambridge, Data Cleaning, Data Science, Machine Learning, MIT, Modeling, Statistician
Interview: David Kasik, Boeing on How Visual Analytics is Improving Aviation Safety
We discuss data visualization at Boeing, the importance of Visual Analytics, Aviation Safety improvement through Analytics and augmented reality.
on Feb 16, 2015 in Augmented Reality, Aviation, Boeing, Data Visualization, David Kasik, Graphics, Interview, Visual Analytics
Tinderbox: Automating Romance with Tinder and Eigenfaces
Tinderbox is a software uses machine learning and image recognition to automate Tinder, a popular app for single meetings. The author describes his experience and feedback until it started to work too well.
on Feb 15, 2015 in Bots, Eigenface, Image Recognition, Romance, Tinder
Data Science’s Most Used, Confused, and Abused Jargon
As data science has spread through the mainstream, so too has a dense vocabulary of ill-defined jargon. In a split-personality post, we offer several perspectives on many of data science's most confused terms.
on Feb 10, 2015 in Big Data Privacy, Data Science, Deep Learning, Zachary Lipton
10 things statistics taught us about big data analysis
There are 10 ideas in applied statistics are relevant for big data analysis, focusing on prediction accuracy, interactive analysis and more.
on Feb 10, 2015 in Best Practices, Big Data, Overfitting, Statistics
Top 30 people in Big Data and Analytics
Innovation Enterprise has compiled a top 30 list for individuals in big data that have had a large impact on the development or popularity of the industry.
on Feb 9, 2015 in About Gregory Piatetsky, Andy Palmer, Big Data, Big Data Influencers, DJ Patil, Hilary Mason, IE Group, Kirk D. Borne, Paco Nathan, Tom Davenport, Wolfram
Facebook Open Sources deep-learning modules for Torch
We review Facebook recently released Torch module for Deep Learning, which helps researchers train large scale convolutional neural networks for image recognition, natural language processing and other AI applications.
on Feb 9, 2015 in Artificial Intelligence, Deep Learning, Facebook, GPU, Neural Networks, NYU, Ran Bi, Torch, Yann LeCun
Interview: Eli Collins, Cloudera on Evolution and Future of Big Data Ecosystem
We discuss the change in Big Data priorities, risks, Big Data ecosystem, rise of data culture in organizations, challenges, advice and more.
on Feb 2, 2015 in Advice, Big Data, Cloudera, ecosystem, Eli Collins, Strategy, Trends, Vendors
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