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ML Modelling in a parallel world

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29

min

ML Modelling in a parallel world

ML Modelling in a parallel world

ML Modelling in a parallel world

ML Modelling in a parallel world

publish date

Oct 12, 2022

duration

29

min

Difficulty

Intermediate

Beginner

Beginner

Beginner

Case details

Data is growing in variety, velocity and volume every year and COVID definitely helped on that. Supply of Infrastructure is also growing providing us with more compute to train bigger and more complex models using all this available data. And everything comes to one question…. How long are you willing to wait for the model to be trained? World is moving fast, requirements change quickly but we still find ourselves waiting ages for the training process to finish. Leveraging new technologies and different ways to optimize the model training is key to create production level models quickly, iterate faster and have more business impact. Spark with its distributing power can help us with that! Are you ready to push some boundaries in the model training?

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Questions?

Chat with Us!

910 Foulk Road, Suite 201

Wilmington, DE 19803, USA

© 2025 Geekle. All rights reserved.

Questions?

Chat with Us!

910 Foulk Road, Suite 201

Wilmington, DE 19803, USA

© 2025 Geekle. All rights reserved.

Questions?

Chat with Us!

910 Foulk Road, Suite 201

Wilmington, DE 19803, USA

© 2025 Geekle. All rights reserved.