When you upload photos to Facebook, have you noticed that the website already seems to know who's in them? It’s remarkable, and you can give the credit to big data. Face recognition software, like fraud detection and ad matching algorithms, draws on deep libraries of content in order to deliver the correct results. And these data collections are hard at work across the…

An article about circumstances in which data science doesn't work well. Data scientists might find the introductory part familiar, but hopefully the latter half will be thought-provoking.

Prologue…

Summary:  Watson is a remarkably flexible and complete AI development platform.  To understand how you might build new services for your current employer or imagine your own Watson-based startup, look at these 30 companies that are leading the way.

In our recent reviews of…

Guest blog post by Arpit Saxena, Apprentice Leader at Mu Sigma Inc.

In the stormy June of 1944, D-Day - the date of the Normandy Landings was looming. The allied forces backed up by tanks and military were painstakingly assembled and prepped in the lead-up to the invasion.

The supreme commander of the Allied Forces had to ensure the success of the D-Day, originally scheduled for June 5.…

Guest blog by Dr. Prashanth Southekal. Prashanth is an experienced technology professional who understands what it takes to run efficient technology based solutions, processes, and organizations. He brings over 20 years of experience in Information Management from companies such as SAP AG, Accenture, Deloitte, P&G, and General Electric. Prashanth has published 2…

Here I present the backpropagation algorithm for a continuous target variable and no activation function in hidden layer: although simpler than the one used for the logistic cost function, it's a proficuous field for math lovers.

This blog is about the lived experience of "becoming a statistic." In our increasingly data-oriented society, the use of data serves not merely to try to understand but also to control people and determine their placement in the scheme of things. Central to the theme of systemic racism, gender discrimination, and the formation of class strata is the elevation evidentiary artefacts such as statistics in order to structurally define and diminish "individuals." The purpose is to make lesser the…

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.

Announcement

• We’ve cracked the code to better BI. Get the intel on how to unlock your data’s true potential. View the…

Contributed by Aiko Liu. 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 this blog post we introduce our US GDP shiny app. The purpose of this…

Contributed by Spencer James Stebbins. 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 here.

Are…

Contributed by Shuye Han. 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…

Contributed by Sharan Duggal.  You can find the original article here.

Introduction

We know that war and civil unrest account for a significant proportion of deaths every year, but how much can mortality rates be attributed to a simple lack of basic resources and amenities, and what relationship do…

This is a YouTube link to a PBS (Nova) documentary on IBM Watson: The smartest machine ever build -  The first time I watched this, I thought 'hey something is wrong here'. I went back and watched it again. I got another person to watch and validate - there were no women scientists, and there are hardly any women speaking in this documentary.

Recently I read this article written a few months back with the title…

Every organization wants to be seen as progressive and tech-savvy, but many are concerned about the cost of modernization. For example, BYOD is currently a big craze, but does it open up your company to data theft risks? This is a real issue that needs to be addressed.

The Truth About BYOD and Security

How many mobile devices does your family own? Between smartphones, tablets, laptops, and wearable devices, the average family of four probably has somewhere…

As the reach of social data expands by every passing day, more and more people are posting their views, thoughts and ideas over a broad array of interconnected social networks. In the era of the booming social media it is critical for businesses to sieve through social data - data generated through the multiple social media channels to gather the actionable insights.

Garnering Social Data Intelligence

Simply mapping social data to figure out data…

E-Commerce has been on the rise with more and more businesses taking to online platforms to reach out to their clientele. Consequently, there has been a significant increase in the number of online spending, which has been due to the increase in the adoption and ownership of mobile devices that has resulted in a shift to the web. As a result, shoppers are always looking out for unmatched shopping experiences. That is, quick access, round-the-clock availability, accessible content and smooth…