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ellenkoenig

ellenkoenig
1 Stars

Decks

The two main challenges in building data pipelines
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290
Wie funktionieren "Künstliche Intelligenzen"?
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390
o you want your tech profitable, ethical, useful or reliable? (Python Pizza 2020)
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830
Want to have a positive social impact as a tech person?
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860
5 Things I learned from prototyping ML research papers (GOTO Berlin 2019)
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880
Want to have a positive social impact as a data scientist?
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170
Machine Learning For The Curious But Confused
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660
Pydata BLN 2018: Five things I learned while prototyping ML papers
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420
Pyladies meetup: 5 Things I learned from prototyping ML papers
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98
WWC Talk: Five things I learned from turning research papers into industry prototypes
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51
EnthusiastiCon - Machine learning for the curious but scared
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170
PyLadies - Machine learning for the curious but scared
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95
Machine learning for the curious but scared
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98
Patterns in Python (PyLadies Berlin)
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780
A/B Testing: Testing product ideas the "Mad Scientist" way
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47
RedfrogConf - Encouraging minorities in the tech community
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180
Deliberate Practice: Learning Tech Skills effectively (Hackership Second Batch)
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100

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