Contributed by Kelly Mejia Breton. She is currently in the NYC Data Science Academy 12 week full time Data Science Bootcamp program taking place between April 11th to July 1st, 2016. This post is based…Continue
Added by NYC Data Science Academy on June 15, 2016 at 1:04pm — No Comments
Contributed by Adam Cone. He is currently in the NYC Data Science Academy 12 week full time Data Science Bootcamp program taking place between January 11th to April 1st, 2016. This post is based on his…Continue
Added by NYC Data Science Academy on June 15, 2016 at 12:00pm — No Comments
Added by NYC Data Science Academy on June 15, 2016 at 11:16am — No Comments
This is a small selection from our webinar series, featuring cases studies, IoT and machine data, Hadoop and distributed architectures, visualization and story telling, predictive analytics, and more.
Added by Vincent Granville on June 15, 2016 at 8:01am — No Comments
During a session of the 46th session of the UN Statistical Commission on the the post-2015 development agenda, UN Deputy Secretary-General Jan Eliasson said data will be the “lifeblood of decision-making and the raw material for accountability” in the new agenda and called for a statistical framework that would meet such expectations (…Continue
This article was posted by Bethany Cartwright. Bethany is the blog team's Data Visualization Intern. She spends most of her time creating infographics and other visuals for blog posts.
Whether you’re writing a blog post, putting together a presentation, or working on a full-length report, using data in your content marketing strategy is a must. Using data helps enhance your arguments by make your writing more compelling. It gives your readers context. And it…Continue
Added by Emmanuelle Rieuf on June 14, 2016 at 2:00pm — No Comments
This article was written by Dr. Randal S. Olson from his own blog. Dr. Randal S. Olson is a postdoctoral researcher working with Prof. Jason H. Moore at the University of Pennsylvania Institute for Biomedical Informatics. He specializes in artificial intelligence, machine learning, and data visualization, and regularly write about his latest work on his personal blog.
One oft-cited problem with Computer Science is its glaring…Continue
Added by Emmanuelle Rieuf on June 14, 2016 at 11:40am — No Comments
Added by Adnan Masood, PhD. on June 14, 2016 at 6:49am — No Comments
CIO recently published an article that highlighted a survey that was revealing. The survey, conducted in April and May, included 150 executives, from large companies of over 5,000 employees, with responsibility for making business decisions influenced by big data. The survey reports that 98 percent said their company encourages its employees to ground business…Continue
Added by Stephanie Tooker Jordan on June 13, 2016 at 6:30pm — No Comments
Data mining (sometimes called knowledge discovery) is the process of analyzing and summarizing data into useful information which can be used to understand common features, the origin of data and to extract hidden predictive information. Data mining is used in science, engineering,modeling and analysis of financial markets.
In this article we will discuss a free data-analysis framework called DMelt (The DataMelt project,…
Added by jwork.ORG on June 13, 2016 at 5:00pm — No Comments
Summary: What changes in your analytics and Big Data stack would you have to make if you only had 10 milliseconds to make a decision? There’s an entire industry that has to live by that rule.
This is a great story about the collision of ecommerce, digital advertising, predictive analytics, and AI in a new digital battleground, the automation and optimization of advertising targeting and spend. Like so many interesting opportunities this new…Continue
Added by William Vorhies on June 13, 2016 at 3:15pm — No Comments
Recently I spoke with a Brand Director about how to find market space he can win and defend in the long run. The discussion shifted on the meaning of information and insights and, after an interesting debate on what’s insight at all, we found agreement by means of an example, which I’d like to present to you too.
The City and County of San Francisco had launched an official open data portal called SF OpenData in 2009 as a product of its official open data program, DataSF. The portal contains hundreds of city datasets for use by developers, analysts, residents and more. Under the category of Public Safety, the portal contains the list of SFPD Incidents since Jan 1, 2003.
Added by Vimal Natarajan on June 13, 2016 at 8:14am — No Comments
Added by George Vander Meulen on June 13, 2016 at 7:00am — No Comments
Like many data scientists, I use the UCI datasets extensively
Specifically, the Boston Housing Dataset is useful especially to teach
For example, I use it in the …Continue
Added by ajit jaokar on June 11, 2016 at 8:30pm — No Comments
For a number of months, I have been generating codified narrative from films, fairytales, paintings, court cases, and news events. Codified narrative might be described as a tokenized rendition of the underlying content. There are many ways to do a rendering. Imagine asking 100,000 people to write a story based on the same general details such as scenery, major events, and specific outcomes. To the extent there are commonalities in the resulting storylines, I would say that "social…Continue
Added by Don Philip Faithful on June 11, 2016 at 10:22am — No Comments
Monday newsletter published by Data Science Central. Previous editions can be found here. The contribution flagged with a + is our selection for the picture of the week.
NYU Stern Masters in Business Analytics
Added by Vincent Granville on June 10, 2016 at 11:00am — No Comments
Contributed by Belinda Kanpetch. She is currently in the NYC Data Science Academy 12 week full time Data Science Bootcamp program taking place between April 11th to July 1st, 2016. This…Continue
Added by NYC Data Science Academy on June 10, 2016 at 7:48am — No Comments
Added by NYC Data Science Academy on June 10, 2016 at 6:01am — No Comments
In this post I will present a simple way how to export your regression results (or output) from R into Microsoft Word. Previously, I have written a tutorial how to create Table 1 with study characteristics and to export into Microsoft Word. These posts are especially useful for researchers who prepare their manuscript for publication in peer-reviewed journals.
Added by Klodian on June 9, 2016 at 11:43am — No Comments