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 ContributionsContinue
Added by Vincent Granville on September 23, 2017 at 9:00am — No Comments
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.…Continue
Added by Vincent Granville on September 22, 2017 at 12:00pm — No Comments
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 –
Added by Vivek Kalyanarangan on September 22, 2017 at 3:00am — No Comments
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…Continue
Added by Matt Reaney on September 22, 2017 at 1:00am — No Comments
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…Continue
Added by Don Philip Faithful on September 22, 2017 at 1:00am — No Comments
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.
Added by Sandipan Dey on September 21, 2017 at 11:30pm — No Comments
Here is our list of featured articles and resources posted since Monday.Continue
Added by Vincent Granville on September 21, 2017 at 8:30am — No Comments
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…Continue
Added by Khosrow Hassibi on September 21, 2017 at 8:30am — No Comments
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…Continue
Added by Ronald van Loon on September 21, 2017 at 8:00am — No Comments
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…
Added by Vijay Mandeep on September 21, 2017 at 12:00am — No Comments
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.
1. Creating and Manipulating…Continue
Added by Sandipan Dey on September 20, 2017 at 11:30pm — No Comments
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…Continue
Added by Vincent Granville on September 20, 2017 at 10:00am — No Comments
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…Continue
Added by Matt Reaney on September 20, 2017 at 5:30am — No Comments
Why do Navy seals make their own bed?
Added by Archisman Majumdar on September 19, 2017 at 10:30pm — No Comments
“Data will talk to you if you’re willing to listen”— Jim Bergeson.
Few can dispute that.
However, the challenge comes when data…Continue
Added by Ronald van Loon on September 19, 2017 at 8:00pm — No Comments
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…Continue
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?
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…Continue
Added by Vinod Sharma on September 18, 2017 at 7:30pm — No Comments
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…Continue
Added by Vincent Granville on September 18, 2017 at 5:30pm — No Comments
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…Continue
Added by Jean-Cyril Schutterle on September 18, 2017 at 3:30am — No Comments