This link has been bookmarked by 519 people . It was first bookmarked on 27 Jul 2015, by asifme.
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12 Feb 24
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03 May 21linksarchive101
Read later.
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16 Oct 19
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03 Apr 19Andrea Back
Für NL geeignet, falls wir es noch nicht als Post hatten
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04 Mar 19
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02 Nov 18
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09 Jul 18
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04 Jun 18Jan Eggers
Which the wsj dataviz editor calls "a classic".
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29 Apr 18Nishanth Stephen
Probably the most beautiful intro to machine learning "A visual introduction to machine learning" https://t.co/jQd1MnAMxU https://t.co/Y5z6scHcxS
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22 Mar 18
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11 Feb 18johnmayo
I'm sure I've tweeted this before, but a very slick visual introduction to machine learning https://t.co/BncNZm4QjH
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24 Jan 18
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21 Dec 17
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30 Oct 17frivasm
Excel·lent introducció visual al concepte de Machine Learning. Una molt bona manera d'entendre els conceptes bàsics d'una manera molt visual.
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28 May 17
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A visual introduction to machine learning
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19 Apr 17nambirajan10
This is brilliant work - a scrolling, visual introduction to machine learning https://t.co/1ORqR00Det
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18 Apr 17
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13 Apr 17
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04 Apr 17Juan Luis Mora Blanco
A MUST > A visual introduction to machine learning > http://bit.ly/2n8njfy
— Aleyda Solís (@aleyda) April 4, 2017 -
29 Mar 17
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12 Mar 17
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11 Mar 17
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09 Mar 17Jennifer Evert
This interactive website, authored by Stephanie Yee and Tony Chu, uses R2D3 - a data visualization tool created by Yee and Chu themselves - to help the general public better understand machine learning. Using vivid visualizizations and a concrete example (How would a machine determine if a home was in New York City or San Francisco?), this resource clearly explains the key vocabulary and concepts behind machine learning in an accessible, engaging way
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07 Mar 17
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04 Mar 17
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28 Feb 17
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David A. Hale
Tutorial intro to machine learning with animated graphs.
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Juan David Correa Toro
Let's revisit the 240-ft elevation boundary proposed previously to see how we can improve upon our intuition. Clearly, this requires a different perspective. via Pocket
iabp pocket_import infográficos inteligencia_artificial machine_learning delicious_import
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26 Feb 17
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17 Feb 17Peter Joles
"oot, at $1061 per sqft, is the best variable for the next if-then statement. For higher elevation homes, it is price, at $514500 ."
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09 Feb 17
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In machine learning, computers apply statistical learning techniques to automatically identify patterns in data. These techniques can be used to make highly accurate predictions.
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classification task
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scatterplot
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Dimensions in a data set are called features, predictors, or variables
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02 Feb 17
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28 Jan 17
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Identifying boundaries in data using math is the essence of statistical learning.
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23 Jan 17
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31 Dec 16Dan Nieves
This "Visual Guide To Machine Learning" is *really* well done. The synced animations work best on non-mobile tho https://t.co/ZQDC4x0eOV
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26 Dec 16Edgar Wong Baxter Jr.
A Visual Introduction to Machine Learning https://t.co/xfpeIvelaC
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15 Dec 16
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12 Dec 16travisjamison
A Visual Introduction to Machine Learning http://www.r2d3.us/visual-intro-to-machine-learning-part-1/
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08 Dec 16
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categorizing data points is a classification task.
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07 Dec 16
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25 Nov 16
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02 Nov 16
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In machine learning terms, categorizing data points is a classification task.
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Adding another dimension allows for more nuance.
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Dimensions in a data set are called features, predictors, or variables.
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Identifying boundaries in data using math is the essence of statistical learning.
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Creating a model is also known as training a model.
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Machine learning methods use statistical learning to identify boundaries.
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Decision trees look at one variable at a time and are a reasonably accessible (though rudimentary) machine learning method.
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In machine learning, these statements are called forks, and they split the data into two branches based on some value.
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These ultimate branches of the tree are called leaf nodes.
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These errors are due to overfitting. Our model has learned to treat every detail in the training data as important, even details that turned out to be irrelevant.
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31 Oct 16
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Andrei Bursuc
A Visual Introduction to Machine Learning https://t.co/T5BrY1dGMS
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26 Oct 16
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01 Sep 16
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Machine learning concepts have arisen across disciplines (computer science, statistics, engineering, psychology, etc), thus the different nomenclature.
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Identifying boundaries in data using math is the essence of statistical learning.
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Machine learning methods use statistical learning to identify boundaries.
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One example of a machine learning method is a decision tree.
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A split point is the decision tree's version of a boundary.
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17 Aug 16
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10 Aug 16Stephen Dale
In machine learning, computers apply statistical learning techniques to automatically identify patterns in data. These techniques can be used to make highly accurate predictions. This animated presentation explains machine learning in simple to follow graphics.
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25 Jul 16
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11 Jul 16
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03 Jul 16
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02 Jul 16
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A Visual Introduction to Machine Learning
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25 Jun 16Robert Best
Let's revisit the 240-ft elevation boundary proposed previously to see how we can improve upon our intuition. Clearly, this requires a different perspective.
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15 Jun 16mahria
What is machine learning? See how it works with our animated data visualization.
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06 Jun 16
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26 May 16
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23 May 16Philip Guth
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06 May 16
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In machine learning, computers apply statistical learning tech
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18 Apr 16
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zeeplay x
great use of animation triggered by scroll to explain the fundamentals behind machine learning
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