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December 2016 Blog Posts (76)

Weekly Digest, January 2

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

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Added by Vincent Granville on December 31, 2016 at 7:08am — No Comments

Introducing Machine Learning

Though your impressions of machine learning may be colored by these mass media depictions, today’s algorithms are too application-specific to pose any danger of becoming self-aware. The goal of today’s machine learning is not to create an artificial brain, but rather to assist us in making sense of the world’s massive data stores.

The origins of machine learning – 

Since birth, we are inundated with data. Our body’s sensors—the eyes, ears, nose, tongue, and…

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Added by Ankur Singh on December 30, 2016 at 9:52am — No Comments

Do you know what is powerful real-time analytics?

In the Digital age today, world…
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Added by Sandeep Raut on December 30, 2016 at 9:30am — 1 Comment

A Statistical Approach to Pick the Most Impactful Advertising Channel for Product Marketing

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…

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Added by Sunil Kappal on December 30, 2016 at 8:30am — No Comments

How to create a Best-Fitting regression model?

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…

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Added by Sunil Kappal on December 29, 2016 at 8:00am — 2 Comments

Monopoly or Underdog, What’s your flavor for soccer?



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…

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Added by NYC Data Science Academy on December 28, 2016 at 11:30am — No Comments

Thursday News: R, Naive Bayes, Regression, ML, AI, Data Science

Here is our selection of featured articles and resources published since Monday.

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Added by Vincent Granville on December 28, 2016 at 11:30am — No Comments

5 Machine Learning Research Studies To Understand & Predict Length of Stay in Hospitals

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…

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Added by Dexur on December 28, 2016 at 3:05am — 2 Comments

Advanced AI Takes Over the K-12 Classroom for STEM Instruction

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…

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Added by William Vorhies on December 27, 2016 at 10:00am — No Comments

Getting Started with Regression in R

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…

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Added by Renata Ghisloti Duarte Souza Gra on December 27, 2016 at 10:00am — No Comments

Could Machine Learning Help Cathay Pacific Save Millions From Travel Delays?



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…

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Added by Mark Ross-Smith on December 27, 2016 at 8:30am — 1 Comment

Naive Bayes Process At a Glance

Added by Sunil Kappal on December 27, 2016 at 7:00am — No Comments

R moves up to 5th place in IEEE language rankings

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.…

IEEE Spectrum

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Added by Emmanuelle Rieuf on December 25, 2016 at 10:30am — 3 Comments

Risk as a Narrative Construct



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…

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Added by Don Philip Faithful on December 25, 2016 at 8:00am — 2 Comments

Robo-Advisers and the Future of Financial Advice

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…

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Added by Stefan on December 25, 2016 at 2:30am — No Comments

Weekly Digest, December 26

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

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Added by Vincent Granville on December 24, 2016 at 1:30am — No Comments

A Data Professional's Role as an Educator

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…

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Added by Ray Hall on December 23, 2016 at 11:00am — 4 Comments

(Mild Humor) Notes by an OCD Data Scientist about Christmas

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…
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Added by Gary Baggett on December 23, 2016 at 11:00am — No Comments

Distillation of Deepnets

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…

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Added by Arshak Navruzyan on December 23, 2016 at 7:30am — No Comments

An Intro to Predictive Analytics: Can I predict the future?

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

*****…

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Added by Raphaelle Rf on December 23, 2016 at 6:00am — 2 Comments

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