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Machine Learning
Dive into the world of machine learning on the Databricks platform. Explore discussions on algorithms, model training, deployment, and more. Connect with ML enthusiasts and experts.
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Forum Posts

ngauthier
by New Contributor
  • 1632 Views
  • 1 replies
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Facilitate integration with private Networks

Can you please help integrating Databricks control plane with corporate Private Network (especially w.r.t. Enterprise Github integration).Thank you !

Machine Learning
networking
  • 1632 Views
  • 1 replies
  • 0 kudos
Latest Reply
Datajoe
Contributor
  • 0 kudos

Depends on what platform your Databricks is on. Example in Azure you just need to set up the service in a vlan and tie the vlan to your internal network- site to site VPN tunnel as am example.

  • 0 kudos
Shivamp2
by Databricks Partner
  • 903 Views
  • 0 replies
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What's up DAIS 2023

It is all happening here at DAIS 2023 - exciting new announcements - looking forward to Lakehouse IQ

  • 903 Views
  • 0 replies
  • 0 kudos
mscanada
by New Contributor
  • 638 Views
  • 0 replies
  • 0 kudos

Training to scale with Spark

Had an amazing session June 26-27 on scaling ML with Spark. Learned about hyperparamter optimization. Great experience. 

  • 638 Views
  • 0 replies
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JohanDingler
by New Contributor
  • 682 Views
  • 0 replies
  • 0 kudos

Hello all

Hello, all! Been using databricks for the past 5 years but just joinned the community. Big fan of the platform. 

  • 682 Views
  • 0 replies
  • 0 kudos
Saurabh707344
by Databricks Partner
  • 5735 Views
  • 3 replies
  • 2 kudos

Resolved! ML usecase feasibility for Databricks ML Vs AWS Sagemaker/Azure ML

What complexity of ML models are feasible to be created in Databricks ML and further that we have to rely on AWS Sagamaker or Azure ML ?Do we have clear segragation around it by ML usecases ?

  • 5735 Views
  • 3 replies
  • 2 kudos
Latest Reply
corvo
New Contributor II
  • 2 kudos

In Databricks, your usecase can be solved by the notebooks provided here in databricks. There is no dependency on AWS sagemaker directly. All the model traiing and deployement that can be done in sagemaker, is supported via databricks as well. 

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shaz
by New Contributor II
  • 6710 Views
  • 5 replies
  • 1 kudos

Resolved! Concatenating strings based on previous row values

Consider the following input:ID PrevID -------- --------- 33 NULL 272 33 317 272 318 317I need to somehow get the following result:Result -------- /33 /33/272 /33/272/317 /33/272/317/318I need to do this in SQL a...

  • 6710 Views
  • 5 replies
  • 1 kudos
Latest Reply
sri
New Contributor II
  • 1 kudos

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corvo
by New Contributor II
  • 856 Views
  • 0 replies
  • 0 kudos

Databricks 2023

Hi all,Attending the Databricks conference was an immersive and enlightening experience. I gained valuable insights into the latest advancements in data analytics and AI, networked with industry experts, and left inspired by the innovative use cases ...

  • 856 Views
  • 0 replies
  • 0 kudos
Delbricks
by Databricks Partner
  • 906 Views
  • 0 replies
  • 0 kudos

Vendor partnerships

I had a great time meeting with multiple vendors to see how their solutions will assist with our delivery to client projects!

  • 906 Views
  • 0 replies
  • 0 kudos
HangLePhuonf
by New Contributor
  • 1562 Views
  • 0 replies
  • 0 kudos

MLOPs

I’m here to learn more about DataBricks MLOps. I’ve learnt so much about how to build and maintain a production-level ML models. I will apply this knowledge to build a scalable ML solutions for my company. 

  • 1562 Views
  • 0 replies
  • 0 kudos
Om1992
by New Contributor
  • 1178 Views
  • 0 replies
  • 0 kudos

Automl

How to efficiently use automl

  • 1178 Views
  • 0 replies
  • 0 kudos
Direo
by Contributor II
  • 10399 Views
  • 3 replies
  • 2 kudos

Feature store feature table location

Can Databricks feature tables be stored outside of DBFS?

  • 10399 Views
  • 3 replies
  • 2 kudos
Latest Reply
the-sab
New Contributor II
  • 2 kudos

Yes, Databricks feature tables can be stored outside of Databricks File System (DBFS). You can store your feature tables in external storage systems such as Amazon S3, Azure Blob Storage, Azure Data Lake Storage, or Hadoop Distributed File System (HD...

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