Portfolio GitHub

Blog

nicolaspinocea

ML-Ops: An automated routine of training and deployment of a model using AWS ML-OPs Orchestrator and Step Functions

machinelearning |mlops |aws |deploy

ML-Ops: An automated routine of training and deployment of a model using AWS ML-OPs Orchestrator and Step Functions

nicolaspinocea

Posted on December 8, 2022

AI Use Case: Developing image classification model with Sagemaker JumpStart

sagemaker |jumpstart |computervisions |resnet152

AI Use Case: Developing image classification model with Sagemaker JumpStart

nicolaspinocea

Posted on August 7, 2022

Sagemaker CANVAS: Machine learning solution in few clics

sagemaker |aws |machinelearning |datascience

Sagemaker CANVAS: Machine learning solution in few clics

nicolaspinocea

Posted on May 12, 2022

Amazon Forecast: Models performance employing AutoML and AutoPredictor (New feature)

aws |forecast |datascience |sagemaker

Amazon Forecast: Models performance employing AutoML and AutoPredictor (New feature)

nicolaspinocea

Posted on April 22, 2022

Deploying the Xgboost model to AWS from locally developed artifacts, adding inference pipeline

aws |machinelearning |python |deploy

Deploying the Xgboost model to AWS from locally developed artifacts, adding inference pipeline

nicolaspinocea

Posted on March 23, 2022

Join Our Newsletter. No Spam, Only the good stuff.

Sign up to receive the latest update from our blog.