Featured Blog Posts – September 2016 Archive (82)

Why Not So Hadoop?

Does Big Data mean Hadoop? Not really, however when one thinks of the term Big Data, the first thing that comes to mind is Hadoop along with heaps of unstructured data. An exceptional lure for data scientists having the opportunity to work with large amounts data to train their models and businesses getting knowledge previously never imagined. But has it lived up to the hype? In this article, we will look at a brief history of Hadoop and see how it stands today.

2015 Hype Cycle –…


Added by Kashif Saiyed on September 30, 2016 at 6:00pm — No Comments

Airbnb in NYC - Spatial Analysis of Illegal Activity

Airbnb in New York City

Contributed by Jurgen de Jager. He takes the NYC Data Science Academy 12 week full time Data Science Bootcamp program from July 5th to September 22nd, 2016. This post is based on their first class project - the Exploratory Data Analysis Visualization Project, due on the 2nd week of the program. You can find the original article…


Added by NYC Data Science Academy on September 30, 2016 at 12:30pm — 1 Comment

The Pressure Cooker: Population Density and Crime

Contributed by David Richard Steinmetz. He takes the NYC Data Science Academy 12 week full time Data Science Bootcamp program from July 5th to September 22nd, 2016. This post is based on their first class project – the Exploratory Data Analysis Visualization Project, due on the…


Added by NYC Data Science Academy on September 30, 2016 at 12:00pm — 1 Comment

Practical data science: Building Minimum Viable Models

When we talk about innovative services or products, many startups follow a smoother model of development. This allows them to minimize the…


Added by Ernesto Mislej on September 30, 2016 at 6:00am — No Comments

The AI layer for the Enterprise and the role of IoT


According to Deloitte: by the “end of 2016 more than 80 of the world’s 100 largest enterprise software companies by revenues will have integrated cognitive technologies into their products”. Gartner also predicts that 40 percent of the new investment made by enterprises will be in predictive analytics by 2020. AI is moving fast into…


Added by ajit jaokar on September 29, 2016 at 7:00pm — 1 Comment

The 7 Myths of AI - By Robin Bordoli

The 7 Myths of AI

By Robin Bordoli

If you’re a business executive (rather than a data scientist or machine learning expert), you’ve probably been exposed to the mainstream media coverage of artificial intelligence or AI.  You’ve seen articles in …


Added by Leena Kamath on September 29, 2016 at 9:30am — No Comments

5 Ways to Gather Data From Your Customers

We’re obviously in an age of unprecedented access to customer insights and information, but that doesn’t necessarily mean it’s easy to gather and leverage data. Businesses – small businesses, in particular – must be very strategic with the information they collect and how they go about procuring it.

Data collection and analysis takes time, so it would be a shame to focus on the wrong information.

Five Different Ways to Collect…


Added by Larry Alton on September 29, 2016 at 2:30am — No Comments

What's That Beer Style? Ask a Neighbor, or Two

Beer is delicious but it is not one thing. If you disagree with the former part of the previous sentence please keep the latter in mind[1]. Think of sports, for instance. Many would agree with the blanket statement "sports are fun" but depending on what you have in mind two people can easily have opposite reactions to being presented the opportunity to play ping-pong. Sports are not one thing, music is not one thing, and neither is beer.

Presented with a finely crafted brew in…


Added by Reginald Eps on September 28, 2016 at 10:30am — No Comments

Should you go to GeekGirlCon?

Credit : Seattle Metropolis October 2016. Click on picture to zoom 

DSC Resources


Added by Emmanuelle Rieuf on September 27, 2016 at 7:30pm — No Comments

A primer on universal function approximation with deep learning (in Torch and R)

Arthur C. Clarke famously stated that “any sufficiently advanced technology is indistinguishable from magic.” No current technology embodies this statement more than neural networks and deep learning. And like any good magic it not only dazzles and inspires but also puts fear into people’s hearts. This primer sheds some light on how neural networks work, hopefully adding to the wonder while reducing the fear.

One known property of artificial neural networks (ANNs) is that they are…


Added by Brian Rowe on September 27, 2016 at 1:30pm — No Comments

15 Deep Learning Tutorials

This reference is a part of a new series of DSC articles, offering selected tutorials on subjects such as deep learning, machine learning, data science, deep data science, artificial intelligence, Internet of Things, algorithms, and related topics. It is designed for the busy reader who does not have a lot of time digging into long lists of advanced publications.…


Added by Vincent Granville on September 27, 2016 at 12:30pm — 2 Comments

A Primer in Adversarial Machine Learning – The Next Advance in AI

Summary:  What comes next after Deep Learning?  How do we get to Artificial General Intelligence?  Adversarial Machine Learning is an emerging space that points to that direction and shows that AGI is closer than we think.

Deep Learning, Convolutional Neural Nets (CNNs) have given us dramatic improvements in image, speech, and text recognition over the last two years.  They suffer from the flaw however that…


Added by William Vorhies on September 27, 2016 at 10:25am — 3 Comments

16 Great Blogs Posted in the last 12 Months

This is part of a new series of articles: once or twice a month, we post previous articles that were very popular when first published. These articles are at least 6 month old but no more than 12 month old. The previous digest in this series was posted here a while back. Below is our third edition.…


Added by Vincent Granville on September 27, 2016 at 8:00am — No Comments

Data Science Career Opportunities: Your Guide To Unlocking Top Data Scientist Jobs

This article was written by Pallavi Poojary

In a world where 2.5 quintillion bytes of data is produced every day, a professional who can organize this humongous data to provide business solutions is indeed the hero! Much has been spoken about why Big Data is here to stay and why Big Data Analytics is the best career move. Building on what’s already been written and said, let’s discuss Data Science…


Added by Emmanuelle Rieuf on September 27, 2016 at 7:30am — No Comments

Hiring data scientists and dropping the obsession with unicorns

This article was written by Richard Downes. Richard is a Specialist Recruiter / Headhunter in the areas of Analytics, Data Science and Artificial Intelligence / Machine Learning and NLP (Natural Language Processing). His work within Analytics covers Predictive Analytics, Consumer Insight / Shopper Insight, and Loyalty right the way through to Credit and Risk.…


Added by Emmanuelle Rieuf on September 26, 2016 at 11:00am — 1 Comment

How Data Is Changing the Future of Smart Health Technology

“Many products and applications exist today that can help us take steps toward healthier living." - Ben Bajarin

Big data is everywhere. Yes it’s true that it has always been there but, we are just recently finding ways to best utilize it. All industries are being disrupted with the collection and analyzation of data and medtech is no different.


The majority of data has historically been used to help study disease and find cures. However, with the…


Added by Brian Horvath on September 26, 2016 at 9:00am — No Comments

The Unreasonable Effectiveness of Recurrent Neural Networks

This articles was written by Andrej Karpathy. Andrej, PhD student at Stanford, is a Research Scientist at OpenAI working on Deep Learning, Generative Models and Reinforcement Learning.

There’s something magical about Recurrent Neural Networks (RNNs). I still remember when I trained my first recurrent network for Image Captioning.…


Added by Emmanuelle Rieuf on September 24, 2016 at 11:30am — No Comments

Weekly Digest, September 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.


  • As businesses incorporate massive volumes of Internet of Things (IoT) and digital data, they've turned to modern architectures that include Hadoop data lakes for cost-effective storage and…

Added by Vincent Granville on September 24, 2016 at 9:30am — No Comments

Lead your own data science projects with the 3 Ps

There's a lot of literature on learning the technical aspect of data science: statistics, machine learning, data munging, big data. This material will serve you well when starting out or working under a lead. But what about when you are ready to spread your wings and lead a project yourself or embark on a project independently? Here you need a different sort of storytelling - the type that communicates why you are working on a project, what the value is, and what you have accomplished.…


Added by Brian Rowe on September 23, 2016 at 1:30pm — 1 Comment

More data beats better algorithms - By Tyler Schnoebelen


Most academic papers and blogs about machine learning focus on improvements to algorithms and features. At the same time, the widely acknowledged truth is that throwing more training data into the mix beats work on algorithms and features. This post will get down and dirty with algorithms and features vs. training data by looking at a 12-way…


Added by Leena Kamath on September 23, 2016 at 12:00pm — 1 Comment

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