The level in this article is for college students familiar with calculus, This material will be also of interest to college professors looking for new material to teach, or for original exam questions, as well as for business data scientists with some spare time, interested in refreshing their math skills. The problems cover real analysis, mathematical algorithms and numerical precision, correct visualizations, as well as geometry. The third problem is the most interesting one in my…

Summary:  Exceptions sometimes make the best rules.  Here’s an example of well accepted variable reduction techniques resulting in an inferior model and a case for dramatically expanding the number of variables we start with. 

One of the things that keeps us data scientists on our toes is that the well-established rules-of-thumb don’t always work.  Certainly one of the most well-worn of these rules is the parsimonious model; always seek to create the…

Here is our selection of featured resources and articles published recently on DSC:

• Removing Confusion From Confusion Matrix - Hawaii False Missile Alert 
• Neural Network Algorithms - Learn How To Train ANN +…

The concept of Clickless Analytics is one that will be happily embraced by business users and by the business enterprise. The reason is simple! Clickless Analytics allows users to find and analyze information without specialized skills, by using natural language.

In this, the first of a three-part series we discuss Clickless Analytics and how it can simplify user adoption of augmented analytics.

What is Clickless Analytics?

Clickless Analytics…

Here is our list of featured articles and resources posted in the last few days::

Featured Resources 

• What Happens when our Computers get Smarter than we are? 
• 7 Visualizations You Should Learn in R  …

Once we start delving into the concepts behind Artificial Intelligence (AI) and Machine Learning  (ML), we come across copious amounts of jargon related to this field of study. Understanding this jargon and how it can have an impact on the study related to ML goes a long way in comprehending the study that has been conducted by researchers and data scientists to get AI to the state it now is. 

In this article, I will be providing you with a comprehensive definition of supervised,…

Summary:  Deep changes are underway in how data science is practiced and successfully deployed to solve business problems and create strategic advantage.  These same changes point to major changes in how data scientists will do their work.  Here’s why and how.

What’s Happening Now

Advanced analytic platforms are undergoing several evolutionary steps at once.  This is the final buildout in the current competitive…

Here is our selection of new articles and resources featured in the last few days:

• 7 Books About Machine Learning, Statistics, and Python 
• Design Patterns for Deep Learning Architectures - with Free eBook +…

The Waring conjecture - actually a problem associated with a number of conjectures, many now being solved - is one of the most fascinating mathematical problems. This article covers new aspects of this problem, with a generalization and new conjectures, some with a tentative solution, and a new framework to tackle the problem. Yet it is written in simple English and accessible to the layman.

I also review a number of famous related mathematical conjectures, including one with a $1…

Here is our first "Sunday Reading" list of the year, featuring an unusually large number of high quality articles and technical resources posted in the last few days:

• Limits of Linear Models for Forecasting 
• Intuition behind Bias-Variance trade-off,…

Summary:  Digital Twins is a concept based in IoT but requiring the skills of machine learning and potentially AI.  It’s not completely new but it is integral to Gartner’s vision of the digital enterprise and makes the Hype Cycle for 2017.  It’s a major enabler of event processing as opposed to traditional request processing.…

This edition contains some articles about 2018 predictions, a great article on adversarial networks (first link below), my recent article on stochastic processes (second link) and more:

• A Primer On Generative Adversarial Networks 
• A Simple Introduction…