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…Continue
Added by Vincent Granville on November 18, 2017 at 10:00pm — No Comments
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.Continue
Added by Vincent Granville on November 18, 2017 at 7:30am — No Comments
Artificial Intelligence on the Horizon
The Future of Healthcare
(Second in a Series)
Discussed much more thoroughly in the…Continue
Added by Mahesh Varavooru on November 17, 2017 at 11:00am — 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 November 16, 2017 at 2:36pm — No Comments
Here is our selection of featured articles and resources posted since Monday:Continue
Added by Vincent Granville on November 16, 2017 at 10:08am — No Comments
In this article, an implementation and explanation is given for 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…Continue
Added by Kevin Jacobs on November 16, 2017 at 2:30am — No Comments
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…Continue
Added by Chirag Thumar on November 16, 2017 at 12:00am — No Comments
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
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.
Added by Sierra Oscar on November 15, 2017 at 9:33pm — No Comments
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…Continue
Added by Data Geek on November 15, 2017 at 6:00pm — No Comments
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.…Continue
Added by Shay Pal on November 15, 2017 at 3:53pm — No Comments
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
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.…Continue
Added by Jay Taylor on November 14, 2017 at 1:00pm — No Comments
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.
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…Continue
Added by Vincent Granville on November 14, 2017 at 9:41am — No Comments
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 …Continue
Added by Vincent Granville on November 14, 2017 at 9:00am — No Comments
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.
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…Continue
Added by Matt Reaney on November 14, 2017 at 2:30am — No Comments
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…Continue
Added by Ronald van Loon on November 14, 2017 at 2:30am — No Comments