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Featured Blog Posts – November 2020 Archive (61)

How to Build a Customer-Centric Supply Chain

The pandemic has shown how vulnerable our supply chains are. A small interruption can bring a supply chain to a halt, which in today’s fast-paced world, is simply not acceptable. Customers are always expecting their product to arrive on time when ordered, and any delay in the…

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Added by Logan berger on November 29, 2020 at 3:30pm — 1 Comment

Network Graph Visualizations with DOT

Network graphs play a large part in both computing and data science, and they are essential for working with (and visualizing) both semantic graphs and property graphs. Nearly thirty years ago, AT&T produced a set of libraries called graphviz which were…

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Added by Kurt A Cagle on November 29, 2020 at 2:00pm — No Comments

DSC Thursday News, 26 Nov 2020

DSC Thursday News, 26 Nov 2020…

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Added by Kurt A Cagle on November 25, 2020 at 7:30pm — No Comments

Artificial Intuition — A Breakthrough Cognitive Paradigm

This article was written by Carlos E. Perez.

In this post I will explore further the characteristics of Artificial Intuition with the goal of describing a set of patterns that can aid us in formulating novel architectures for Deep Learning. In a previous post, I introduced the idea that there are two…

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Added by Andrea Manero-Bastin on November 25, 2020 at 2:00am — No Comments

Universities finally realize that Java is a bad introductory programming language

This article was written by Matthew Hughes. 

CS 106A is Stanford University’s introductory programming course. The module – which is also available to view on YouTube – introduces the fundamentals of coding in an accessible way, and lays the foundations for…

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Added by Andrea Manero-Bastin on November 25, 2020 at 2:00am — No Comments

New Features In Angular 10.1.0 You Cannot Miss!

 

Why developers prefer Google's Angular app development for their projects? Keep reading to find out!

 

Mobile app development is gaining popularity all over the world. Businesses are trying to incorporate this tech into their process in order to bridge the gap between the users and…

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Added by James Smith on November 25, 2020 at 1:38am — No Comments

Artificial Intelligence- The Technology Growth Driver for Banking Services

Across industries and enterprises, AI has been the key growth driver, and this is mainly due to the services offered under this technology umbrella. Every industry is now witnessing enhancements in business processes, costs, and efficiency due to AI's introduction in their field. Depending on the industry, AI offers something unique and has helped the key decision-makers to make fast and accurate decisions based on various implementation solutions.…

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Added by Rishabh Sinha on November 24, 2020 at 3:30am — No Comments

Automating Pattern Detection using Machine Learning for Telecom

Consistent asset health across many levels from cell sites to regions is critical to ensure uninterrupted operations for telecom operators. However, proactively identifying anomalous patterns like equipment malfunction remains a major challenge. Drawing on Subex’s deep implementation experience, this paper describes the chief steps necessary to deploy successful pattern detection solutions. It also examines some high impact use cases for pattern detection that have systematically delivered…

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Added by Avinash Udaykumar on November 24, 2020 at 12:00am — No Comments

Data Science Central Weekly Digest, 23 Nov 2020

Real Users Rate Top 8 Data Prep Tools
Data Science Central Weekly Digest, 23 Nov…
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Added by Kurt A Cagle on November 23, 2020 at 7:30pm — No Comments

Introducing an All-purpose, Robust, Fast, Simple Non-linear Regression

The model-free, data-driven technique discussed here is so basic that it can easily be implemented in Excel, and we actually provide an Excel implementation. It is surprising that this technique does not pre-date standard linear regression, and is rarely if ever used by statisticians and data scientists. It is related to kriging and nearest neighbor interpolation, and apparently first mentioned in 1965 by Harvard scientists working on GIS (geographic information systems). It was referred…

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Added by Vincent Granville on November 23, 2020 at 6:00pm — No Comments

The most common mistake people make in mid-career transition to AI

 AI will impact many jobs  and COVID has only accelerated this trend   
 
Based on my teaching at the University of Oxford for AI, we see a big demand for people wanting to transition to AI due to the current environment. 
If you are at the early stage of your career (less than two years out of Uni), a transition…
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Added by ajit jaokar on November 23, 2020 at 12:46pm — 3 Comments

External Change Drivers that will Impact Work and Professions

In my previous post, What’s Driving the Future of Work and Professions?, I mentioned PESTLE as a helpful framework for classifying external forces that act on all of us and the companies for which we work.  In this article, I present a list of them for you to consider.  It’s not encyclopedic, but it’s a good…

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Added by Howard M Wiener on November 23, 2020 at 6:00am — No Comments

Elements of a Viable Machine Learning Algorithm

Being an expert at developing and understanding ML, or Machine Learning algorithms, takes time and a lot of hard work. That’s why ML (machine learning) engineers are been seen constantly learning while at the job. If the learning stops, your professional growth stops. Many of us, especially the AI aspirants, think that watching tutorial videos on AI (artificial intelligence) modeling or ML algorithm development on YouTube…

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Added by Aileen Scott on November 22, 2020 at 7:30pm — No Comments

How Can Your Organization Manage AI Model Biases?

I’ve been reading the interesting and soul-searching (from a data scientist perspective) book from Cathy O’Neil titled “Weapons of Math Destruction”, or WMD as used in the book.  The book provides several real-world examples of how Big Data and Data Science – when not properly structured – can lead to ethically-wrong unintended consequences. 

Chapter…

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Added by Bill Schmarzo on November 22, 2020 at 11:20am — No Comments

DSC Thursday News, 19 Nov 2020

DSC Thursday News, 19 Nov 2020…

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Added by Kurt A Cagle on November 20, 2020 at 7:30am — No Comments

How Taxonomies Differ From Ontologies

Over the years, I've had people ask me how a taxonomy differs from an ontology. The answer (or at least a reasonably simple answer) is that "a taxonomy is a tree shaped ontology".

It is worth digging  bit deeper to understand what that means, however:

Way back in the early 18th century, a Swedish biologist by the name of Carl Linnaeus…

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Added by Kurt A Cagle on November 19, 2020 at 7:42pm — No Comments

The State of the Art in Implementing Machine Learning for Mobile Apps

Mobile applications based on machine learning are reshaping and affecting many aspects of our lives. Implementing machine learning on mobile devices faces various challenges, including computational power, energy, latency, low memory, and privacy risks. In this article, we…

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Added by AI on November 19, 2020 at 11:00am — No Comments

Robust Adversarial Inputs

This article was written on OpenAI. 

We’ve created images that reliably fool neural network classifiers when viewed from varied scales and perspectives. This challenges a claim from last week that self-driving cars would be hard to trick maliciously since they capture images from multiple scales, angles, perspectives, and…

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Added by Andrea Manero-Bastin on November 19, 2020 at 1:59am — No Comments

Time-Series Feature Extraction with Easy One Line of Python Code

Introduction and Motivation

It is becoming increasingly common for organizations to collect very large amounts of data over time, and to…

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Added by Sharmistha Chatterjee on November 19, 2020 at 12:22am — No Comments

Intelligent Automation – Just Add AI to your RPA

Summary:  Let’s start by clarifying the difference between RPA (Robotic Process Automation) and IA (Intelligent Automation).  Then we’ll show why AI/ML inside Intelligent Automation is the secret sauce that really makes this work.

 

As we’ve tracked the adoption of AI/ML across industries…

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Added by William Vorhies on November 18, 2020 at 9:00am — No Comments

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