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Deep Dive into Polynomial Regression and Overfitting

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. …

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Added by Vincent Granville on May 9, 2018 at 9:30pm — No Comments

AI with Pyramids of Self Programmable Gates

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…

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Added by Vincent Granville on May 8, 2018 at 4:07pm — No Comments

Semantic Roles according to Word2Vec

Figure 1. Scatter plot of word embedding coordinates (coordinate #3 vs. coordinate #10). You can see that semantically related words are close to each other.

This blog post is an extract from chapter 6 of the book “From Words to Wisdom. An Introduction to Text Mining…

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Added by Rosaria Silipo on May 7, 2018 at 12:00am — No Comments

Great Saturday Reading

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

Resources

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Added by Vincent Granville on May 5, 2018 at 9:57am — No Comments

Temporal Convolutional Nets Take Over from RNNs for NLP Predictions

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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Added by Vincent Granville on May 2, 2018 at 7:59am — No Comments

Data Engineer and Business Analyst Might be the Best Data Science Opportunities

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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Added by Vincent Granville on May 1, 2018 at 8:17am — No Comments

Great Sunday Reading

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

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Added by Vincent Granville on April 29, 2018 at 8:55pm — No Comments

Machine Learning with Signal Processing Techniques

Stochastic Signal Analysis is a field of science concerned with the processing, modification and analysis of (stochastic) signals.

Anyone with a background in Physics or Engineering knows to some degree about signal analysis techniques, what these technique are and how they can be used to analyze, model and classify signals.

Data Scientists coming from a different fields, like Computer Science or Statistics, might not be aware of the analytical power these techniques bring with…

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Added by ahmet taspinar on April 29, 2018 at 9:00am — No Comments

New Decimal Systems - Great Sandbox for Data Scientists and Mathematicians

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…

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Added by Vincent Granville on April 26, 2018 at 1:30pm — No Comments

Great Saturday Reading

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

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Added by Vincent Granville on April 21, 2018 at 10:52am — No Comments

Article from Michael Li, Head of Analytics and Data Science at LinkedIn

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…

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Added by Vincent Granville on April 17, 2018 at 11:30am — No Comments

Great Saturday Reading

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

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Added by Vincent Granville on April 14, 2018 at 12:24pm — No Comments

Automated Deep Learning – So Simple Anyone Can Do It

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.

 

There are several things holding back our use of deep learning…

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Added by Vincent Granville on April 10, 2018 at 6:53pm — No Comments

Two Beautiful Mathematical Results - Part 2

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, featuring and proving the formulas below, which are just the…

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Added by Vincent Granville on April 10, 2018 at 7:59am — No Comments

Next Generation Automated Machine Learning (AML)

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.

 

I’ve been a follower and a fan of Automated Machine Learning…

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Added by Vincent Granville on April 4, 2018 at 10:00am — No Comments

Great Sunday Reading

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

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Added by Vincent Granville on April 1, 2018 at 1:22pm — No Comments

I Analyzed 10 MM digits of SQRT(2) - Look at My Findings

This article is intended for practitioners who might not necessarily be statisticians or statistically-savvy. The mathematical level is kept as simple as possible, yet I present an original, simple approach to test for randomness, with an interesting application to illustrate the methodology. This material is not something usually discussed in textbooks or classrooms (even for statistical students), offering a fresh perspective, and out-of-the-box tools that are useful in many contexts, as…

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Added by Vincent Granville on March 31, 2018 at 10:30pm — 2 Comments

First Doctorship in Data Science

You may even call it post-doctorship, as the level is beyond the traditional PhD degree. It is not a degree, not competing with university programs, but instead, akin to a fellowship or apprenticeship to learn doing state-of-the-art applied research, discover ground-breaking results or applications, and translate your discoveries into seminal material suitable for a broad audience. It is intended for professionals with substantial experience, perhaps to people who already have a PhD in a…

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Added by Vincent Granville on March 26, 2018 at 9:23am — No Comments

Great Saturday Reading

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

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Added by Vincent Granville on March 24, 2018 at 3:30pm — No Comments

What Comes After Deep Learning

This article is by Bill Vorhies.

Summary: We’re stuck.  There hasn’t been a major breakthrough in algorithms in the last year.  Here’s a survey of the leading contenders for that next major advancement.

 …

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Added by Vincent Granville on March 22, 2018 at 7:30pm — No Comments

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