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September 2017 Blog Posts (62)

Weekly Digest, September 25

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 September 23, 2017 at 9:00am — No Comments

Representation of Numbers with Incredibly Fast Converging Fractions

Here we discuss a new system to represent numbers, for instance constants such as Pi, e, or log 2, using rational fractions. Each iteration doubles the precision (the number of correct decimals computed) making it converging much faster than current systems such as continued fractions, to characterize any positive real number.…

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Added by Vincent Granville on September 22, 2017 at 12:00pm — No Comments

Tensorflow Tutorial : Part 2 – Getting Started

In this multi-part series, we will explore how to get started with tensorflow. This tensorflow tutorial will lay a solid foundation to this popular tool that everyone seems to be talking about. The second part is a tensorflow tutorial on getting started, installing and building a small use case.

This post is the second part of the multi-part series on a complete tensorflow tutorial –

  • Part 1: Introduction
  • Part 2: Getting Started
  • Part 3:…
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Added by Vivek Kalyanarangan on September 22, 2017 at 3:00am — No Comments

Would You Give Up Your Data For Science?

The world is not as private a place as it might seem.

Even though you might be sitting quietly at work, on your way back home on the train or relaxing in front of the latest Netflix series, your life is being scrutinised. Some of the data will be for your eyes only, and there is a certain amount of choice as to what is in the public domain, but much of the snooping is still done without our knowledge or consent.

The data genie is well and truly out of the bottle, but if he is…

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Added by Matt Reaney on September 22, 2017 at 1:00am — No Comments

Suspense Analog - Data Object

I periodically use the term “data object” in my blogs.  Since I do not normally blog about data objects per se, I find myself simply stating that in-depth analysis might need to go beyond numbers; therefore, we should consider data objects.  This might confuse readers unaware of what a data object is - or at least what I mean by it.  To make matters challenging, readers inclined towards data science do not necessarily have much background in the liberal arts; and those with degrees in the…

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Added by Don Philip Faithful on September 22, 2017 at 1:00am — No Comments

Some more Social Network Analysis with Python: Centrality, PageRank/HITS, Network generation models, Link Prediction

In this article, some more social networking concepts will be illustrated with a few problems. The problems appeared in the programming assignments in the

coursera course Applied Social Network Analysis in Python.  The descriptions of the problems are taken from the assignments. The analysis is done using NetworkX.

The following theory is going to be used to solve the assignment problems.

 …

f01.png

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Added by Sandipan Dey on September 21, 2017 at 11:30pm — No Comments

Image Recognition Revolution and Applications

Data, in particular, unstructured data has been growing at a very fast pace since mid-2000’s. Eighty percent of all data generated is unstructured multimedia content which fails to get focus in organizations’ big data initiatives. A good portion of this multimedia content is images and videos. Readily…

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Added by Khosrow Hassibi on September 21, 2017 at 8:30am — No Comments

Digital Innovation Starts with a Digital Core

A lot of times when the prevalent industry trends are discussed among industry folks, there are usually two directions in which the conversation goes. It is either varying states of disbelief at the rate of change within the business and IT landscapes; or it is enthusiastic agreement on the…

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Added by Ronald van Loon on September 21, 2017 at 8:00am — No Comments

Churn Rate: Calculations and Strategies for Reducing Mobile App Attrition

Ready for some sobering stats? The average mobile app loses 77% of its DAUs within the first 3 days after install. Within 30 days, that number jumps to 90%. Within 90 days, it’s over 95%. 

For your app to succeed, you can’t let these stats be your reality. It’s…

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Added by Vijay Mandeep on September 21, 2017 at 12:00am — No Comments

Some Social Network Analysis with Python

The following problems appeared in the programming assignments in the coursera course Applied Social Network Analysis in Python.  The descriptions of the problems are taken from the assignments. The analysis is done using NetworkX.

The following theory is going to be used to solve the assignment problems.

f0.png

1. Creating and Manipulating…

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Added by Sandipan Dey on September 20, 2017 at 11:30pm — No Comments

Data Science Method to Discover Large Prime Numbers

Large prime numbers have been a topic of considerable research, for its own mathematical beauty, as well as to develop more powerful cryptographic applications and random number generators. In this article, we show how big data, statistical science (more specifically, pattern recognition) and the use of new efficient, distributed algorithms, could lead to an original research path to discover large primes. Here we also discuss new mathematical conjectures related to our…

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Added by Vincent Granville on September 20, 2017 at 10:00am — No Comments

Creativity Is Crucial In Data Science

Data science might not be seen as the most creative of pursuits.

You add a load of data into a repository, and you crunch it the other end to draw your conclusions. Data in, data out, where is the scope for creativity there? It is not like you are working with a blank canvas.

For me, the definition of creativity is when you are able to make something out of nothing. This requires an incredible amount of imagination, and seeing past the obvious headline…

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Added by Matt Reaney on September 20, 2017 at 5:30am — No Comments

Domino habits for data science

Why do Navy seals make their own bed?

In a recent address to students Naval Adm. William H. McRaven, ninth commander of U.S. Special Operations Command mentioned the importance of making your own bed. The news can be read here and here 

Some…

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Added by Archisman Majumdar on September 19, 2017 at 10:30pm — No Comments

How Leading Organizations are Leveraging Big Data and Analytics

“Data will talk to you if you’re willing to listen”— Jim Bergeson.

Few can dispute that.

However, the challenge comes when data…

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Added by Ronald van Loon on September 19, 2017 at 8:00pm — No Comments

Data Science Simplified Part 10: An Introduction to Classification Models

Webster defines classification as follows:

A systematic arrangement in groups or categories according to established criteria.

The world around is full of classifiers. Classifiers help in preventing spam e-mails. Classifiers help in identifying…

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Added by Pradeep Menon on September 19, 2017 at 6:00pm — 1 Comment

AI’s Ethical Dilemma – An Unexpectedly Urgent Problem

Summary:  In just the last 10 months based only on facial characteristics deep learning has been used to predict who is a criminal and who is gay.  These are rigorous, peer reviewed studies published in academic journals.  How should this knowledge be used and how will the public react?

 …

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Added by William Vorhies on September 19, 2017 at 7:00am — 2 Comments

Artificial Intelligence to Amplify FinTech

AI has taken some steps into banking, but it also poised to transform how banks learn from and interact with customers. Financial services will lead the charge in the implementation of AI. Africa’s mobile phone market has expanded to become larger than either the EU or the United States with some 650 million…

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Added by Vinod Sharma on September 18, 2017 at 7:30pm — No Comments

18 Great Articles About Predictive Analytics

This resource is part of a series on specific topics related to data science: regression, clustering, neural networks, deep learning, Hadoop, decision trees, ensembles, correlation, outliers, regression, Python, R, Tensorflow, SVM, data reduction, feature selection, experimental design, time series, cross-validation, model fitting, dataviz, AI and…

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Added by Vincent Granville on September 18, 2017 at 5:30pm — No Comments

5 overriding factors for the successful implementation of Artificial Intelligence

Even just five years back, Artificial Intelligence (AI) was still the stuff of science fiction, confined to research labs and tech giants’ showcases. It was pretty similar to the auto show concept car – there to be admired but not to be touched. Today, though, AI is everywhere. Whether it’s virtual assistants scheduling our meetings, facial recognition software or increasingly autonomous cars, AI is making itself felt in all our private and professional lives. One thing is certain – AI…

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Added by Jean-Cyril Schutterle on September 18, 2017 at 3:30am — No Comments

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