The term “machine learning” is used to describe one kind of “artificial intelligence” (AI) where a machine is able to learn and adapt through its own experience. We crawled and collected 30 top overview diagrams which shows the topic of methods, algorithms and concepts.

1. Top Overview
Machine Learning
Diagrams
10.2018

2. 2
T-MAT Diagrams
2
http://www.softwareschule.ch/examples/machinelearning.jpg
Taxonomy 4 Diagrams
Process 3 Diagrams
Methods 7 Diagrams
Algorithm 8 Diagrams
Tools 5 Diagrams
 All Diagrams have been found on the internet by a web crawler
content classifier developed with maXbox and Python.

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https://www.springboard.com/blog/data-mining-python-tutorial/
http://playground.tensorflow.org_maXbox1
http://playground.tensorflow.org_maXbox2

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Tooltech Confusion Matrix
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28
MNIST Sacred Tool Training & Tests

29. CASSANDRASystem
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https://www.kaggle.com/
similarity of doc a to doc b =
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30. CASSANDRASystem
30
https://www.kaggle.com/
similarity of doc a to doc b =
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),(
)',(
),(
),(
word
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2
'
2
BA
jbv
jbv
jav
jav
basim
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jj

 


31. 31
31
Machine Learning Jokes ;-)
1. There are two kinds of data scientists:
1) Those who can extrapolate from
incomplete data.
2. In data science, 80 percent of time
spent is preparing the data, 20 percent of
time is spent complaining about the need
to prepare data.
https://maxbox4.wordpress.com/
http://www.softwareschule.ch/examples/machinelearning.jpg

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SUMMARY & QUESTIONS
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https://maxbox4.wordpress.com/