November 2017 Blog Posts (84)

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

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

Deep Learning for Natural Language Processing: Tutorials with Jupyter Notebooks

This article was written by Jon Krohn.

At untapt, all of our models involve Natural Language Processing (NLP) in one way or another. Our algorithms consider the natural, written language of our users’ work experience and, based on real-world decisions that hiring managers have made, we can assign a…


Added by Amelia Matteson on November 15, 2017 at 11:30am — 1 Comment

Data Tagging in Medical Imaging – Diving Deep into the Processes

Note: This is the second post of the series Data Tagging in Medical Imaging. You can find the first post here.

Data tagging

In the previous post of the series, Data Tagging in Medical Imaging, we gave you an overview of the kind of processes that you must put in practice to scale your data tagging engine. In this blog we will thoroughly discuss how to come up with…


Added by Shashank Gupta on November 15, 2017 at 3:30am — No Comments

Information retrieval document search using vector space model in R


In this post, we learn about building a basic search engine or document retrieval system using Vector space model. This use case is widely used in information retrieval systems. Given a set of documents and search term(s)/query we need to retrieve relevant documents that are similar to the search query. 

Problem statement:

The problem statement explained above is represented as in below…

Added by dataperspective on November 15, 2017 at 1:30am — No Comments

Closed Computational System Leads to Bloated Databases

Not a few big organizations find their databases (or data warehouses) crammed with a huge number of old data tables, sometimes tens of thousands of them, after many years of operation. People have already forgotten why they are created; these tables even have long been useless. But all are kept for fear of mistaken deletion, causing heavy operation and maintenance workload. Moreover, a large number of stored procedures feed data continuously to these tables, seriously consuming the…


Added by JIANG Buxing on November 15, 2017 at 1:00am — 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.


In our last article which was…


Added by William Vorhies on November 14, 2017 at 10:30am — 4 Comments

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

The 3 Phases of Digital Transformation

The research firm Technology Business Research (TBR) recently came out with a report titled, “Winning The Business Of Digital Transformation Services Requires A Process-Led Approach” authored by Sebastian Lagana and Jennifer Hamel. The report is full of good nuggets, but I especially liked the way that they categorized the 3 phases of Digital Transformation:

  • Substitution represents basic IT modernization; such as leveraging new…

Added by Bill Schmarzo on November 12, 2017 at 5:00am — No Comments

Learning Binary Classification by Simulations

There are numerous aspects of data science that determine a project’s success; from posing the right questions through to identifying and preparing relevant data, applying suitable analytical techniques, and finally, validating the results. This article focuses on the importance of selecting the appropriate analytical technique by demonstrating how different binary classification algorithms can fail in detecting data patterns using freely…


Added by Jacek Kowalski on November 12, 2017 at 12:30am — No Comments

Weekly Digest, November 13

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.



Added by Vincent Granville on November 11, 2017 at 2:30pm — No Comments

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