List: ⭕️ MLOps | Curated by Paul Iusztin | Medium

Jul 14, 2023

6 stories

9 saves

⭕️ MLOps

In

TDS Archive

by

Elena Samuylova

Monitoring unstructured data for LLM and NLP

A code tutorial on using text descriptors

Jun 27, 2023

Monitoring unstructured data for LLM and NLP

Jun 27, 2023

Bradford Lamson-Scribner

Deploying Containers on Amazon’s ECS using Fargate and Terraform: Part 2

UPDATED (7/23/19): Hey everyone, I just updated the source code and gists throughout this tutorial to use Terraform v0.12.5. Also there…

Jul 20, 2018

Deploying Containers on Amazon’s ECS using Fargate and Terraform: Part 2

Jul 20, 2018

In

Data Science at Microsoft

by

Bernat Puig Camps

A layered approach to MLOps

A tried and tested approach to structuring ML projects

Dec 20, 2022

A diagram of concentric layers. The innermost corresponds to the Data Science code, the next one is the specification layer and the outermost is the orchestration layer.

Dec 20, 2022

In

AnyMind Group

by

河本直起 (Naoki Komoto)

Machine Learning Batch Prediction Architecture Using Vertex AI

In this article, I would like to introduce our current batch prediction architecture implemented with Vertex AI.

Jul 20, 2022

Machine Learning Batch Prediction Architecture Using Vertex AI

Jul 20, 2022

In

TDS Archive

by

Samuele Mazzanti

Predict Your Model’s Performance (Without Waiting for the Control Group)

A novel algorithm by NannyML allows estimating the performance of an ML model before the ground truth is available. Here is how it works.

May 9, 2022

Predict Your Model’s Performance (Without Waiting for the Control Group)

May 9, 2022

In

TDS Archive

by

Samuele Mazzanti

“You Can’t Predict the Errors of Your Model”… Or Can You?

NannyML has released DLE, an algorithm able to predict the MAE and the MSE of your regression model, in the absence of the ground truth

Oct 5, 2022

“You Can’t Predict the Errors of Your Model”… Or Can You?

Oct 5, 2022

Paul Iusztin

Paul Iusztin

Book Author

Senior ML & MLOps Engineer • Founder @ Decoding ML ~ Content about building production-grade ML/AI systems • DML Newsletter: https://decodingml.substack.com

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