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.

Featured Resources and Technical Contributions

• H2O , Diabetes and Data Science …

In the wake of ZMOT (Zero Moment of Truth) it becomes pivotal for any product company to choose the most appropriate advertisement channel for the promotion of their products. This not only helps the organizations to maximize their chances of creating the best first impression but will also help them to be discovered by today’s tech savvy consumers.

Today we will talk about a very…

Best Subset Regression method can be used to create a best-fitting regression model. This technique of model building helps to identify which predictor (independent) variables should be included in a multiple regression model(MLR).

This method comprises of scrutinizing all of the models created from all possible permutation combination of predictor variables. This technique uses the R Squared value to check for the best model. Considering the level of complexity involved in creating…

Contributed by Ricky Yue. He enrolled in the NYC Data Science Academy 12-week full time Data Science Bootcamp program taking place between July 5th to September 23rd, 2016. This post is based on their second project - R Shiny, due on 4th week of the program. The original article can be found here.

In the last…

Length of Stay (LOS) is a critical factor in managing hospital quality & economic outcomes in Healthcare. The metric is calculated by summing the total number of days for all discharges & dividing it by the total number of discharges. Insurance programs such as Medicare are moving to a model where they are compensating Hospitals the same amount for a specific surgery (e.g. Joint replacement) regardless of the number of days spent in the hospital. Therefore, hospitals & the…

Summary:  A great story about an AI-powered massive on-line open learning platform focused on STEM education.  The platform and its content is to be available across many languages to serve students anywhere in preparing for a better life in STEM careers. 

If you’re from the US you’re probably feeling some angst as our K-12 students seem…

Regressions are widely used to estimate relations between variables or predict future values for a certain dataset.

If you want to know how much of variable "x" interferes with…

NB: Cathay Pacific

Aircraft fuel is without a doubt the biggest cost for any airline and often receives widespread attention, especially when airlines hedge their bets the wrong way. Cathay Pacific reported a HK$4.49…

This article was posted by David Smith on revolution analytics.

IEEE Spectrum has just published its third annual ranking with its 2016 Top Programming Languages, and the R Language is once again near the top of the list, moving up one place to fifth position.…

I had some magical moments in my life. Perhaps the most magical was the summer I went to work wearing shorts and running shoes. Captain C. said to me, as I sat in our shared office, “If you want to work during the weekend, you can borrow the keys to the building.” It didn’t seem like a big deal at the time. I had already borrowed a military vehicle that, as per Captain C., I could park anywhere in Canada without receiving a parking ticket. So I borrowed the keys to the building. I went…

The wealth management industry is facing a wave of digital disruption. Developments in finance, science and technology have led to a new generation of financial technology start-ups. Most “fin-techs” focus on automated investment services, or so-called ‘robo-advisers’.

Betterment, the pioneer of automated investing, recently surpassed $5 billion in assets under management, only 8 years after it was founded. What makes…

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.

Announcements

• Optimal Data Analytics Architecture - DSC Webinar, Jan 24…

Anyone who has followed that last few presidential elections has seen how easily data can go from a hero to a zero. Nate Silver was a genius when his model and analysis successfully predicted Obama's electoral wins with great precision in 2008 and 2012. However, after the 2016 election, Mr. Silver and the value of data fell precipitously from grace in the eyes of political pundits and many voters.

Those of us who know better, well... know better. The problem wasn't with the data or…

Christmas is an odd but challenging of time of the year, especially for the nerdiest of us.  The number of problems to solve are never ending.  There isn’t enough computational power, even with using multiple Apache Sparks to draw the correct solution. Here are some notes that I have on those challenges.

Gifting

1. The quantity and price of gifts to family members vary inversely with the square distance from the clustered family center (me).  The…

Training modern deepnets can take an inordinate amount of time even with the best GPU hardware available. Inception-3 on ImageNet 1000 using 8 NVIDIA Tesla K40s takes about 2 weeks (Google Research Blog).

Even when a large network is trained successfully, the memory footprint and the prediction latency (due to the number of its parameters) can make it challenging to put it into production.

One way to keep…

At Grakn Labs we love technology. Here is our December 15th edition by Filipe Pinto Teixeira, where he looked back at Predictive Analytics.

NIPS2016 (Neural Information Processing System) is an annual event that attracts the best and the brightest of the field of Machine Learning both from academia as well as industry. I attended this event last week for the very first time and was blown away by the volume and diversity of the presentations. One unusual observation…