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Data Machina - Issue #134

A big issue in every company is: How do we automate the ML lifecycle? Many startups and enterprises a
Data Machina - Issue #134
By Data Machina • Issue #134 • View online

A big issue in every company is: How do we automate the ML lifecycle? Many startups and enterprises are now building ML platforms, but that is not easy. In fact imo many of those inititatives will fail miserably. If you’re enduring the pain of building an ML platform, you should watch this video presentation by Matei (Co-founder of Databricks & Spark creator) MLflow: Infrastructure for the Complete ML Lifecycle

This is a great long read The Machine that Fired Me


10 Link-o-Troned
A Pythonista *Experience*
Scripting aRt
Love from Julia
(Paren(th)ethical)
ScalaTOR
data v-i-s-i-o-n-s
Distributed de-Entangler
Blockchain Über Alles
IoTea - everyThing/anyThing
Forschung!
Algorithmic Potpourri
Robots & Cyborgs like <you>
Deep Learning Bits
startups -> radar
ML Datasets & Stuff
Postscript, etc
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Curated by Carlos @ds_ldn in the middle of the night.
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Data Machina

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