Mathematical Olympiads are popular among high school students. However, there is nothing similar for college students, except maybe IMC. Even IMC is not popular. It focuses mostly on the same kind of problems as high school Olympiads, and you can not participate if you are over 23 years old. In addition, it is organized by country, as opposed to globally, thus favoring countries with a large population. Topics such as…

The list below is a (non-comprehensive) selection of what I believe should be taught first, in data science classes, based on 30 years of business experience. This is a follow up to my article Why logistic regression should be taught last.

I am not sure whether these topics below are even discussed in data camps or college…

Here is our selection of featured articles and resources posted in the last few days.

• New Book: Principles of Database Management 
• Competition: Explaining black box machine learning models …

With a data analysis plan, you know what you’re going to do when you actually sit down to do the analysis of the data you’ve gathered. It’s a vitally important thing for you to have, as it will guide how you’re going to collect your data. After all, it’s very difficult to add in new variables afterward.

For that reason, you want to make sure you’ve created your plan beforehand so that you can be sure that you’re asking all the questions you need to and you know what you’re going to…

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

• Machine Learning and Its Algorithms to Know – MLAlgos
• A quick introduction to PyMC3 and Bayesian models…

These articles are between 3 and 5 year old, but are still valuable today. The methodology used in these articles is modern, and still state-of-the-art today. Some discuss immense data sets still available to the public, and that resulted in designing new machine learning techniques to handle them. 

I am in the process of organizing these articles (written by myself) to eventually self-publish data science tutorials, in a few separate booklets, that are easy to understand for the…

In this article, we show that the issue with polynomial regression is not over-fitting, but numerical precision. Even if done right, numerical precision still remains an insurmountable challenge. We focus here on step-wise polynomial regression, which is supposed to be more stable than the traditional model. In step-wise regression, we estimate one coefficient at a time, using the classic least square technique. …

Guest blog post by David Enríquez Arriano. For more information or to get higher pictures resolution, contact the author (see contact information at the bottom of this article.)

Introduction

This is a different approach to solve the AI problem. It is a cognitive math based on pyramids built with self-programming logic gates through learning.

A Boolean polynomial associated with a given truth table can be implemented with electronic…

Here is our selection of featured resources and articles published in the last few days. Enjoy the reading!

Resources

• Showcase your Data Science Expertise, and Learn New Tricks from Pros 
• Generalized Machine Learning - Simple ML to…

Summary: Our starting assumption that sequence problems (language, speech, and others) are the natural domain of RNNs is being challenged.  Temporal Convolutional Nets (TCNs) which are our workhorse CNNs with a few new features are outperforming RNNs on major applications today.  Looks like RNNs may well be history.

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Summary: Not everyone wants to invest the time and money to become a data scientist, and if you’re mid-career the barriers are even higher.  If you still want to be deeply involved in the new data-driven economy and well paid, the growth rate and opportunities as a data engineer or business analyst need to be on your radar screen.

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

• Reticulating Python and R - the American Community Survey Data Dictionary to Meta Data (Part 3)
• Open Source ETL: Apache NiFi vs Streamsets…

We illustrate pattern recognition techniques applied to an interesting mathematical problem: The representation of a number in non-conventional systems, generalizing the familiar base-2 or base-10 systems. The emphasis is on data science rather than mathematical theory, and the style is that of a tutorial, requiring minimum knowledge in mathematics or statistics. However, some off-the-beaten-path, state-of-the-art number theory research is discussed here, in a way that is accessible to…

Here is our selection of featured articles and resources posted in the last few days.

• Infinite Data Sets with Known Distribution - to Benchmark Statistical Tests (Read last section)
• Data Dictionary to Meta Data II - Simple Text…

I’m sure everyone who has been following tech industry news knows about “big data” and “AI.” Although there is no industry-consistent definition for either term, most people tend to agree that both have been playing more and more important roles lately, and that we need to know and leverage them better in both our personal and professional lives. But wouldn’t it be interesting if we looked beyond the marketing hype for a moment and talked about the people who are solving real business…

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

• Tutorial: Multistep Forecasting with Seasonal ARIMA in Python
• Machine Learning with Signal Processing Techniques…

Summary:  There are several things holding back our use of deep learning methods and chief among them is that they are complicated and hard.  Now there are three platforms that offer Automated Deep Learning (ADL) so simple that almost anyone can do it.

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In Part 1 of this article (see here) we featured the two results below, as well as a simple way to prove these formulas.

Here, we continue on the same topic,…

Summary:  Automated Machine Learning has only been around for a little over two years and already there are over 20 providers in this space.  However, a new European AML platform called Tazi, new in the US, is showing what the next generation of AML will look like.

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

• I Analyzed 10 MM digits of SQRT(2) - Look at My Findings
• 80 Best Data Science Books That Are…