Featured Blog Posts – November 2017 Archive (73)

An Economic Perspective on Fraud Analytics: Calculating ROI of Fraud Detection Systems

By Bart Baesens, Véronique Van Vlasselaer and Wouter Verbeke

The importance and need for effective fraud detection and prevention systems is highlighted by some recent numbers which give an indication of the estimated size and the financial impact of fraud:

  • A typical organization loses 5% of its revenues to fraud each year (www.acfe.com)
  • The total cost of insurance fraud…

Added by Vincent Granville on November 21, 2017 at 4:00pm — No Comments

Book: A Guide to Data Science for Fraud Detection

Detect fraud earlier to mitigate loss and prevent cascading damage

Fraud Analytics Using Descriptive, Predictive, and Social Network Techniques is an authoritative guidebook for setting up a comprehensive fraud detection analytics solution. Early detection is a key factor in mitigating fraud damage, but it involves more specialized techniques than detecting fraud at the more advanced stages. This invaluable guide details both the theory and technical aspects of these…


Added by Vincent Granville on November 21, 2017 at 3:00pm — 1 Comment

Decoding Machine Learning Methods

Machine Learning, thinking systems, expert systems, knowledge engineering, decision systems, neural networks - all synonymous loosely woven words in the evolving fabric of Artificial Intelligence. Of these Machine Learning (ML) and Artificial Intelligence (AI) are often debated and used interchangeably. broadly speaking AI can be termed as a futuristic state of self aware smart learning machines in true sense, but for all practical purposes we deal more often with ML at present.



Added by Sreenivasa etla on November 21, 2017 at 12:00am — 2 Comments

What Will Shape the Future of Machine Learning in 2018?

Guest blog post by Chirag Tumar.

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…


Added by Vincent Granville on November 20, 2017 at 12:48pm — 1 Comment

Deep Learning And The Information Bottleneck

This article was written by Ray of RayOnStorage Blog. Original title: Compressing information through the information bottleneck during deep learning.…


Added by Amelia Matteson on November 20, 2017 at 11:00am — No Comments

Chatbot Best Practices - Making Sure Your Bot Plays Well With Users

Summary:  This is the third in our series on chatbots.  In this installment we’ll look at the best practice dos and don’ts as described by a number of successful chatbot developers.


In our first article we covered the chatbot basics…


Added by William Vorhies on November 20, 2017 at 9:30am — 1 Comment

Achieving Analytics Sophistications


In today’s world, a successful organization has to achieve data and analytics competencies to stay…


Added by Khosrow Hassibi on November 20, 2017 at 8:30am — No Comments

Data Science Best Practices



1. Introduction

2. The Four Pillars of Success        in Analytics

3. Analytics…


Added by Khosrow Hassibi on November 20, 2017 at 8:30am — No Comments

The role of Analytics in Digital Transformation

Today every industry is talking about Digital Transformation and affected by technologies like the Internet of Things, Blockchain, Microservices and Cloud. Every company like Apple, Nike, and Nestle, better known for their brand products have now become Technology Company. However, for every technology the powerhouse behind the success is…


Added by Sandeep Raut on November 19, 2017 at 2:30am — No Comments

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 — 1 Comment

CNN for Short-Term Stocks Prediction using Tensorflow


In machine learning, a convolutional neural network (CNN, or ConvNet) is a class of neural networks that has successfully been applied to image recognition and analysis. In this project I've approached this class of models trying to apply it to stock market prediction, combining stock prices with sentiment analysis. The implementation of the network has been made…


Added by Mattia Brusamento on November 18, 2017 at 8:30am — 6 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.


  • Use data to drive the future of business—and your career through…

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

Using Data Analytics to Prevent, Not Just Report

I recently had another client conversation about optimizing their data warehouse and Business Intelligence (BI) environment. The client had lots of pride in their existing data warehouse and business intelligence accomplishments, and rightfully so. The heart of the conversation was about taking costs out of their reporting environments by consolidating runaway data marts and “spreadmarts,” and improving business analyst BI…


Added by Bill Schmarzo on November 18, 2017 at 7:00am — 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 — 1 Comment

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

Book: Machine Learning: a Probabilistic Perspective

Today’s Web-enabled deluge of electronic data calls for automated methods of data analysis. Machine learning provides these, developing methods that can automatically detect patterns in data and then use the uncovered patterns to predict future data. This textbook offers a comprehensive and self-contained introduction to the field of machine learning, based on a unified, probabilistic approach. 

The coverage combines breadth and depth, offering necessary…


Added by L.V. on November 15, 2017 at 6:00pm — 1 Comment

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 L.V. 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 L.V. on November 15, 2017 at 5:30pm — 2 Comments

Machine Learning Glossary by Google

This is Google's dictionary on machine learning. Very interesting, with more than 100 entries, but clearly biased towards what Google thinks machine learning is. There is still big room for improvement, as this glossary is missing many important entries such as

  • maximum likelihood
  • Bayesian networks
  • dimension reduction
  • hierarchical modeling
  • survival analysis
  • Markov property
  • cross-validation
  • time…

Added by L.V. on November 15, 2017 at 5:30pm — No Comments

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

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