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Amelia Matteson's Blog (28)

Dimensional Modeling in the Age of Big Data and Hadoop

This article was written by Uli Bethke.

The full title is "Dimensional Modeling and Kimball Data Marts in the Age of Big Data and Hadoop". 

Is dimensional modeling…

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Added by Amelia Matteson on September 11, 2017 at 11:30am — No Comments

10 Companies Using Machine Learning in Cool Ways

This article was written by Dan Shewan.

If science-fiction movies have taught us anything, it’s that the future is a bleak and terrifying dystopia ruled by murderous sentient robots.

Fortunately, only one of these things is true – but that could soon change, as the doomsayers…

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Added by Amelia Matteson on September 8, 2017 at 4:00pm — No Comments

How I Detect Fake News

This article was written by Tim O'Reilly.…

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Added by Amelia Matteson on September 6, 2017 at 2:30pm — 1 Comment

Why do Decision Trees Work?

This article is from Win-Vector LLC

In this article we will discuss the machine learning method called “decision trees”, moving quickly over the usual “how decision trees work” and spending time on “why decision trees work.” We will write from a computational learning theory perspective, and hope this helps make both decision trees and computational learning theory more comprehensible. The goal…

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Added by Amelia Matteson on September 5, 2017 at 10:00am — No Comments

13,500 Nastygrams to Train Algorithms to Detect Undesirable Content

This article was written by Tom Simonite.

The nonprofit behind Wikipedia is teaming up with…

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Added by Amelia Matteson on September 4, 2017 at 1:00pm — No Comments

How can R Users Learn Python for Data Science ?

This article was written by Manish Saraswat.…

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Added by Amelia Matteson on August 30, 2017 at 6:00pm — No Comments

Cross-Validation: Concept and Example in R

This article was written by Sondos Atwi.

What is Cross-Validation?

In Machine Learning, Cross-validation is a resampling method used for model evaluation to avoid testing a model on the same dataset on which it was trained. This is a common mistake, especially that a separate testing dataset is not always available. However, this usually leads to inaccurate…

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Added by Amelia Matteson on August 28, 2017 at 7:00pm — No Comments

Deep Learning Explained - in 4 Simple Facts

This article comes from a writer at Steemit.

First off, let me say: this topic is vast. In my article, I’ll try to boil down the main facts, but be warned, you should investigate the matter on your own to learn more.

Hope I can set you on the right path at least. Lets dive in!…

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Added by Amelia Matteson on August 27, 2017 at 4:30pm — No Comments

Boosting the accuracy of your Machine Learning models

This article was written by Prashant Gupta. Gupta is a machine learning engineer, Android developer, and tech enthusiast.

Tired of getting low accuracy on your machine learning models? Boosting is here to help. Boosting is a popular machine learning algorithm that increases accuracy of…

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Added by Amelia Matteson on August 25, 2017 at 2:30pm — No Comments

Explainable Artificial Intelligence (XAI)

This article was written by Mr. David Gunning. …
XAI is addressing the need for machine-learning systems able to explain their rationale, characterize their strengths and weaknesses, and convey an understanding of how they will behave in the future.
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Added by Amelia Matteson on August 25, 2017 at 2:30pm — No Comments

Deep Learning Research Review: Natural Language Processing

This article was written by Adit Deshpande.

This is the 3rd installment of a new series called Deep Learning Research Review. 

Introduction to Natural Language Processing:

Introduction…

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Added by Amelia Matteson on August 23, 2017 at 2:30pm — No Comments

How to Spot Visualization Lies

This article was written by Nathan Yau.

It used to be that we’d see a poorly made graph or a data design goof, laugh it up a bit, and then carry on. At some point though — during this past year especially — it grew more difficult to distinguish a visualization…

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Added by Amelia Matteson on August 22, 2017 at 4:30pm — No Comments

Machine Learning Vs. Statistics

This article was written by Aatash Shah.

Many people have this doubt, what’s the difference between statistics and machine learning? Is there something like machine learning vs. statistics?

From a traditional data…

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Added by Amelia Matteson on August 18, 2017 at 11:30am — 1 Comment

Neural Networks: Crash Course On Multi-Layer Perceptron

This article was written by Jason Brownlee.

Artificial neural networks are a fascinating area of study, although they can be intimidating when just getting started. There are a lot of specialized terminology used when describing the data structures and algorithms used in the field. …

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Added by Amelia Matteson on August 11, 2017 at 9:00am — No Comments

Combining Multiple Methods To Improve Time Series Prediction

This article was written by Taras Firman

Today, businesses need to be able to predict demand and trends to stay in line with any sudden market changes and economy swings. This is exactly where forecasting tools, powered by Data Science, come into play, enabling organizations to successfully deal with strategic and capacity planning.…

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Added by Amelia Matteson on August 10, 2017 at 3:30pm — No Comments

How to Make the Leap from Excel to SQL

This article was written by Melissa Bierly.

If you use Excel at work, you’re probably frustratingly familiar with this dialog box:

You’ve probably also worked on a spreadsheet that was painfully slow to edit,…

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Added by Amelia Matteson on August 8, 2017 at 10:00am — No Comments

The 4 Types of Data Analytics

This article was written by Thomas Maydon. Maydon is the Head of Credit Solutions at Principa and has primarily been involved in consulting, analytics, credit bureau and predictive modeling services.Diagram and explanation of the 4 types of data analytics

Simplistically, analytics can be divided into four key categories. I'll explain these four in more detail…

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Added by Amelia Matteson on August 7, 2017 at 11:30am — No Comments

When Not to Use Deep Learning

Guest blog by Pablo Cordero. Pablo is currently a postdoc at UCSC’s systems biology group, doing applied machine learning research in the context of cell biology and regenerative medicine, particularly looking at single-cell measurements. He is also consulting from time to time. He can be contacted here

I know…

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Added by Amelia Matteson on August 5, 2017 at 11:30am — No Comments

The Best Metric to Measure Accuracy of Classification Models

This article was written by Jacob Joseph

Unlike evaluating the accuracy of models that predict a continuous or discrete dependent variable like Linear Regression models, evaluating the accuracy of a classification model could be more complex and time-consuming.Before measuring the accuracy of classification models, an analyst would first…

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Added by Amelia Matteson on July 31, 2017 at 9:00am — No Comments

A Self-Study List for Data Engineers and Aspiring Data Architects

This article was written by John Hammink. John Hammink is an American engineer, musician, artist and linguist, with his own entry in Wikipedia. …

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Added by Amelia Matteson on July 26, 2017 at 2:00pm — No Comments

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