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High Precision Computing: Benchmark, Examples, and Tutorial

In some applications, using the standard precision in your programming language of choice, may not be enough, and can lead to disastrous errors. In some cases, you work with a library that is supposed to provide very high precision, when in fact the library in question does not work as advertised. In some cases, lack of precision results in obvious problems that are easy to spot, and in some cases, everything seems to be working fine and you are not aware that your simulations are completely…


Added by Vincent Granville on November 18, 2017 at 10:00pm — No Comments

Weekly Digest, November 20

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…


Added by Vincent Granville on November 18, 2017 at 7:30am — No Comments

AI and the future of healthcare

Artificial Intelligence on the Horizon

The Future of Healthcare

(Second in a Series)

Discussed much more thoroughly in the…


Added by Mahesh Varavooru on November 17, 2017 at 11:00am — No Comments

Programming Languages for Data Science and ML - With Source Code Illustrations

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…


Added by Vincent Granville on November 16, 2017 at 2:36pm — No Comments

Thursday News: AI, Chatbots, High Precision Computing, Classification, Biometrics

Here is our selection of featured articles and resources posted since Monday:


Added by Vincent Granville on November 16, 2017 at 10:08am — No Comments

Elman RNN implementation in Tensorflow

In this article, an implementation and explanation is given for an Elman RNN.

So… What is an Elman RNN?

Suppose you have many documents and you would like to find all names in the documents. Then one option is to use an Elman RNN! This RNN is originally invented by Jeffrey Elman . The Elman RNN reads word (and context) by word (and context) and tries to predict the label (either O if the word is not a name, B-NAME if the word is the beginning of a name and I-NAME if…


Added by Kevin Jacobs on November 16, 2017 at 2:30am — No Comments

What Will Shape the Future of Machine Learning in 2018?

Any new technology is not successful until it is embraced and used to its potential. Machine learning is no exception to this rule and its success or to say its ability can be gauged by the trends that exist. Machine learning is already a hot technology at the moments and it seems to have a promising future. At present, it seems to be an evolutionary phase where remarkable developments are expected.

This brings us to the thought of what the machine learning of future…


Added by Chirag Thumar on November 16, 2017 at 12:00am — No Comments

Python libraries for Aspiring Data Scientist

Python has a unique combination of being both a capable general-purpose programming language as well as being easy to use for analytical and quantitative computing.

Python, along with R, is one of the handiest tools in a data scientist’s arsenal. It’s also one of the simplest computer languages to learn and use, primarily because most concepts can be expressed in fewer lines of code in Python, than in other languages.

Hence, beginners venturing out into the field of data…


Added by Yatindra Sahu on November 15, 2017 at 10:00pm — No Comments

Inside the black box


This post is designed show the internal changes of an Artificial Neural Network (ANN/NN), it shows the outputs of the neurons from the beginning of a Backpropagation algorithm to convergence.

The hope is for a better understanding of why we use a second hidden layer, local minimums, to how many internal nodes are required and their impact on the final solution.

The Dataset…


Added by Sierra Oscar on November 15, 2017 at 9:33pm — No Comments

Handbook of Statistical Analysis and Data Mining Applications - 2nd Edition

Handbook of Statistical Analysis and Data Mining Applications, Second Edition, is a comprehensive professional reference book that guides business analysts, scientists, engineers and researchers, both academic and industrial, through all stages of data analysis, model building and implementation. The handbook helps users discern technical and business problems, understand the strengths and weaknesses of modern data mining algorithms and employ the right statistical methods for…


Added by Data Geek on November 15, 2017 at 6:00pm — No Comments

The Gaussian Correlation Inequality in One Picture

Yet another one of these One Picture tutorials, and in some ways, in the same old-fashioned style as our Type I versus Type II Errors in One Picture.…


Added by Data Geek on November 15, 2017 at 5:30pm — 1 Comment

How Biometric Authentication Works

Here is a guest post from Rowena Bonnette  on How Biometric Authentication works - 

Biometrics are the ultimate security protocol. Using security coding that is unique to each individual, you can be confident in the authenticator’s identity. We’ve seen biometric securities in science fiction movies, and we use fingerprint authentication daily on our smartphones. Now, let’s break down all of the different kinds of biometric authentication and discover how they work.…


Added by Shay Pal on November 15, 2017 at 3:53pm — No Comments

A framework for automated rating of online reviews against the underlying topics

Online reviews are valuable sources of relevant information that can support users in their decision making. An estimated 92% of online shoppers read online reviews, 88% trust online reviews as much as personal recommendations and they typically read more than 10 reviews to form an opinion. The objective

is to propose a framework aimed at improving user experience when faced with an…


Added by AI on November 15, 2017 at 2:30pm — No Comments

Using Data To Improve Performance in Nonprofits

Performance management can be viewed as a systematic process that enables organizations to improve the productivity of employees in a team framework. The approach is implemented by defining roles within specific competence parameters, laying out expectations and establishing realistic goals.…


Added by Jay Taylor on November 14, 2017 at 1:00pm — No Comments

Under the Hood With Chatbots

Summary:  This is the second in our chatbot series.  Here we explore Natural Language Understanding (NLU), the front end of all chatbots.  We’ll discuss the programming necessary to build rules based chatbots and then look at the use of deep learning algorithms that are the basis for AI enabled chatbots.



Added by William Vorhies on November 14, 2017 at 10:44am — 1 Comment

Data Driven Leader by Jenny Dearborn, CLO and SVP at SAP

Jenny Dearborn is the Chief Learning Officer and Senior Vice President at SAP. As global Chief Learning Officer for the 67,000 employees at SAP, Jenny leads an internationally-acclaimed and award-winning team recognized as the #1 performing corporate learning department in the world by eLearning Magazine.

Jenny is a recognized thought leader in human capital management and general business, and is a regular contributor to Forbes, Wall Street Journal, The…


Added by Vincent Granville on November 14, 2017 at 9:41am — No Comments

Best DSC Forum Questions - Part 3

This is a new series, featuring forum questions (new and old) that are still popular today. These questions were selected manually based on popularity, removing outdated material. The entire series consists of about 160 questions -- most with answers, sometimes several answers. We intend to publish a new set every two weeks or so. The previous edition was posted …


Added by Vincent Granville on November 14, 2017 at 9:00am — No Comments

The Three Way Race to the Future of AI. Quantum vs. Neuromorphic vs. High Performance Computing

Summary:  There’s a three way technology race to bring faster, easier, cheaper, and smarter AI.  High Performance Computing is available today but so are new commercial versions of actual Quantum computers and Neuromorphic Spiking Neural Nets.  These two new entrants are going to revolutionize AI and deep learning starting now.



Added by William Vorhies on November 14, 2017 at 8:07am — 4 Comments

Is Big Data Eliminating Gut Feel in Business?

Many of us trust our gut feeling implicitly.


We have all been there when something didn’t feel right but done it anyway. There was nothing obvious to suggest that it was a bad idea. Yet, when it turns out to be a disaster we wonder why we didn’t listen to that gentle little voice: “don’t do it.”


It seems that our gut feel is some magical force, but actually, it is an accumulation of thousands of tiny past moments, all informing our current situation. You could…


Added by Matt Reaney on November 14, 2017 at 2:30am — No Comments

AI In Telecom: Intelligent Operations is the New Norm

The move towards an intelligent world is faster and more rapid than it ever was before. The increase in this transition has been propagated through the role of several high key stakeholders that have redefined the way we look at technology. One of the key players in this transition is Huawei. 

Huawei’s recent UBBF…


Added by Ronald van Loon on November 14, 2017 at 2:30am — No Comments

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