How to Handle the Training Model Hangover - Dev...

December 07, 2019

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How to Handle the Training Model Hangover - Dev & DevOps Conf (Tuscany)

Pratik Parmar

December 07, 2019

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Transcript

PRESENTATION BY PRATIK PARMAR How to handle the hangover?
None
PRESENTATION BY PRATIK PARMAR How to handle the “Training Model”
hangover?
I Am Pratik Parmar I am here to bore you
with Machine Learning! Hello! You can contact me at @hackyroot
AI DEVOPS CLOUD NATIVE KUBERNETES BLOCKCHAIN VR DIGITAL TRANSFORMATION -
YOUR CLIENT “ * Your client is the CEO
AI
AI MACHINE LEARNING
None
Product Dev IT Ops InfoSec QA Data Scientist ML Engineer
None
None
None
None
MODEL IN PRODUCTION: • • • •
None
CUSTOM ML PLATFORMS
None
None
KEY CONCEPT IN TRACKING
MLFLOW TRACKING: EXPERIMENTS
TRACKING UI: INSPECTING RUNS
MLFLOW PROJECTS: REPRODUCIBLE RUNS
MLFLOW PROJECTS: EXAMPLE MLFLOW PROJECT
MLFLOW MODELS: MODEL PACKAGING
None
I’M LOOKING FOR NEW OPPORTUNITIES AS A DATA SCIENTIST! TALENT
ALERT!
None
None
You can ﬁnd me at: @hackyroot [email protected] Any more questions?
Thank You!