Yesterday’s battle (Philip Roth vs. DJ Jazzy Jeff) was pretty low-key. It seems that this blog isn’t packed with fans of ethnic literature or hip-hop. Nobody in comments even picked up on my use of the line, “Does anyone know these people? Do they exist or are they spooks?” Isaac gave a good argument in favor of Roth: “Given how often Uncle Phil threw DJ Jazzy Jeff out of the house, it seems like he should win here,” but I’ll have to give it to Jazz, based on Jrc’s comment: “From what I hear, Roth was only like the 14th coolest Jew at Weequahic High School (which, by my math, makes him about the 28th coolest kid there). And we all know DJ Jazzy Jeff was the second coolest kid at Bel-Air Academy.” Good point.

It’s virtually impossible to succeed at anything without a solid understanding of the fundamentals. That’s why we take particular care in ensuring that our introductory courses, the gateways to data science, are as well-crafted as possible.

You probably already know that internal motivation is more powerful than external motivation. But did you know that the type of internal motivation could matter when it comes to unlocking better performance?

Judea Pearl and Dana Mackenzie sent me a copy of their new book, “The book of why: The new science of cause and effect.”

At: NYU Stern Fubon Center for Technology, Business and Innovation Location: New York, NYWeb: www.stern.nyu.eduPosition: Fubon Center Faculty Fellow

Deep Learning is one of the newest trends in Machine Learning and Artificial Intelligence research. It is also one of the most popular scientific research trends now-a-days. Deep learning methods have brought revolutionary advances in computer vision and machine learning. Every now and then, new and new deep learning techniques are being born, outperforming state-of-the-art machine learning and even existing deep learning techniques. In recent years, the world has seen many major breakthroughs in this field. Since deep learning is evolving at a huge speed, its kind of hard to keep track of the regular advances especially for new researchers. In this paper, we are going to briefly discuss about recent advances in Deep Learning for past few years. Recent Advances in Deep Learning: An Overview

The suite of AzureR packages for interfacing with Azure services from R is now available on CRAN. If you missed the earlier announcements, this means you can now use the install.packages function in R to install these packages, rather than having to install from the Github repositories. Updated versions of these packages will also be posted to CRAN, so you can get the latest versions simply by running update.packages.

Are you looking to achieve new, exciting educational and career goals in 2019? Consider NYU Stern’s MS in Business Analytics (MSBA) program, a one-year, part-time graduate degree for experienced professionals with at least 5 years of full-time work experience.

A small note on the growing list of users of the udpipe R package. In the last month of 2018, we’ve updated the package on CRAN with some noticeable changes

Space Expansion of Feature Selection for Designing more Accurate Error Predictors