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November 2016 Blog Posts (95)

Tuesday News: DataViz, Deep Learming, AI, Data Science, Proba Cheat Sheet

Thursday news have been moved to Tuesday this week, due to Thanksgiving. Though we might have a nice article to share on Thursday. Below is our selection of featured articles and resources posted yesterday.

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Added by Vincent Granville on November 22, 2016 at 10:00am — No Comments

How to Set Up Data Science?

[This is a cross-post from d4t4science.com]

 1         Introduction

Setting up data science in corporate environments is a challenging task. Many companies struggle or even fail at…

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Added by Philipp Diesinger on November 22, 2016 at 7:30am — 1 Comment

Recognize Anything: How Big Data Enables Photo Recognition

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…

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Added by Larry Alton on November 22, 2016 at 6:16am — No Comments

The Data Science Delusion

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…

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Added by Anand Ramanathan on November 21, 2016 at 5:30pm — No Comments

30 Fun Ideas for Starting New AI Businesses and Services with Watson

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…

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Added by William Vorhies on November 21, 2016 at 10:22am — No Comments

Can weather data add a pinch of salt to your prediction models?

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.…

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Added by Emmanuelle Rieuf on November 21, 2016 at 8:30am — No Comments

A Cheat Sheet on Probability

Added by Rubens Zimbres on November 21, 2016 at 2:28am — 9 Comments

Data Isn't Everything

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…

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Added by Vincent Granville on November 20, 2016 at 5:30pm — 1 Comment

What is Deep Learning?

Remember how you started recognizing fruits, animals, cars and for that matter any other object by looking at them from our childhood? 
Our brain gets trained over the years to recognize these images and then further classify them as apple, orange, banana, cat, dog, horse, Toyota, Honda, BMW and so on.
Inspired by these biological processes of human…
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Added by Sandeep Raut on November 20, 2016 at 2:30pm — 2 Comments

Neural Networks: The Backpropagation algorithm in a picture

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.

Added by Rubens Zimbres on November 19, 2016 at 9:30am — 3 Comments

Disablement from the Institutional Use of Aggregate Statistics

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…

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Added by Don Philip Faithful on November 19, 2016 at 5:30am — No Comments

Weekly Digest, November 21

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…
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Added by Vincent Granville on November 18, 2016 at 7:00pm — No Comments

US GDP Shiny App

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…

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Added by NYC Data Science Academy on November 18, 2016 at 3:00pm — No Comments

Student Loans: a Subprime Time-bomb for the US Government?

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…

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Added by NYC Data Science Academy on November 18, 2016 at 2:00pm — No Comments

Building up a simple facial feature analysis platform using Shiny and Microsoft Oxford API

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…

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Added by NYC Data Science Academy on November 18, 2016 at 1:30pm — No Comments

Visualizing the relationship between infant mortality rates & resource availability

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…

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Added by NYC Data Science Academy on November 18, 2016 at 1:00pm — No Comments

Book: Machine Learning Algorithms From Scratch

Discover How to Code Machine Algorithms
From First Principles With Pure Python and
Use them on Real-World Datasets…
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Added by Emmanuelle Rieuf on November 18, 2016 at 12:30pm — No Comments

Women In Machine Learning and Artificial Intelligence

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…

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Added by Sona Maniyan on November 18, 2016 at 12:00pm — No Comments

BYOD and Its Impact on Data Security

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…

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Added by Larry Alton on November 18, 2016 at 6:41am — No Comments

R for SQListas (1): Welcome to the Tidyverse

R for SQListas, what's that about?

This is the 2-part blog version of a talk I've given at DOAG Conference this week. I've also uploaded the slides (no ppt; just pretty R presentation ;-) ) to the articles section, but if you'd like a little text I'm encouraging you to read on. That is, if you're in the target group for this…

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Added by Sigrid Keydana on November 17, 2016 at 11:30pm — No Comments

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