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Amelia Matteson's Blog (36)

On Building a “Fake News” Classification Model

This article is written by George McIntire.

"A lie gets halfway around the world before the truth has a chance to get its pants on." -Winston Churchill

Since the 2016 presidential election, one topic dominating political discourse is the issue of “Fake News”. A number of political pundits claim…

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Added by Amelia Matteson on November 8, 2017 at 11:00am — No Comments

Nuts and Bolts of Building Deep Learning Applications: Ng @ NIPS2016

This article was written by Tomasz Malisiewicz.

You might go to a cutting-edge machine learning research conference like NIPS hoping to find some mathematical insight that will help you take your deep learning system's performance to the next level. Unfortunately, as Andrew Ng reiterated to a…

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Added by Amelia Matteson on November 3, 2017 at 10:00am — No Comments

A Comparative Roundup: Artificial Intelligence vs. Machine Learning vs. Deep Learning

This article was written by Paramita Ghosh

A 1969 McKinsey article claimed that computers were so dumb that they were not capable of making any decisions. In fact they said, it was human intelligence that drives the dumb machine. Alas, this claim has become a bit of a “joke” over the years, as the modern computers are gradually replacing…

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Added by Amelia Matteson on November 1, 2017 at 10:00am — No Comments

A Primer on Deep Learning

This article was written by Dallin Akagi.

What is deep learning?

I like to use the following three-part definition as a baseline. Deep learning is:

  1. a collection of statistical machine learning techniques
  2. used to learn feature hierarchies…
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Added by Amelia Matteson on October 27, 2017 at 9:30am — No Comments

I built a Chatbot in 2 hours and this is what I learned

This article was written by Shival Gupta.

We spend about 5 hours on our smartphones every day as per this study from Flurry. Not only is this statistic surprising in its own right, about 65% of this time is spent on communication related activities like social media, texting, emailing and phone calls. That’s 3 hours and 15 minutes. Every. Single.…

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Added by Amelia Matteson on October 20, 2017 at 9:30am — No Comments

Recursive (not recurrent!) Neural Nets in TensorFlow

This article was written by Anejati

For the past few days I’ve been working on how to implement recursive neural networks in TensorFlow. Recursive neural networks (which I’ll call TreeNets from now on to avoid confusion with recurrent neural nets) can be used for learning tree-like structures (more…

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Added by Amelia Matteson on October 5, 2017 at 1:00pm — No Comments

Deep Learning Cheat Sheet for Beginners

This article was written by  Ian Goodfellow, Yoshua Bengio, and Aaron Courville. It consists of summaries, dozens of formulas, and numerous small sections that will help the beginner quickly grasp the essential of deep learning. The presentation style is very similar to a cheat sheet…

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Added by Amelia Matteson on September 28, 2017 at 1:00pm — No Comments

AI and ML in 2017

This article was written by Carlos Mendoza.

Advancements in machine learning and artificial intelligence (AI) opens new doors for…

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Added by Amelia Matteson on September 21, 2017 at 11:00am — No Comments

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…

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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

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