Change Python version in Vertex AI

Vertex AI is a bare-bones analytics environment in Google Cloud.

List of data science platforms

Comprehensive list of data science platforms. Sometimes known also as machine learning platforms, ai platforms or DSML platforms. - Flexible Kubernetes deployments for advanced data science teams

For technically advanced teams looking for flexible Kubernetes deployments. - Experiment tracking platform for MLOps

Log experiments and ML models versions from any environment.

MLOps in Google Cloud

Google Cloud Platform has excellent toolset to operationalize and productionize machine learning models.

Tensorflow Extended (TFX) for MLOps

Tensorflow Extended (known as TFX) is a framework to define ML pipelines.

Dataflow for ML Engineers in Google Cloud

Dataflow product in Google Cloud is mandatory for advanced data processing pipelines for machine learning solutions.

Vertex AI for ML Engineers in Google Cloud

Some Google materials refer to it as Fully managed Tensorflow.

Machine learning products in Google Cloud

This is a summary of Google Cloud Platform (GCP) products relevant for Machine Learning Engineer role.

Running Flask frontend and backend in Kubernetes

Kubernetes have been everywhere lately. Especially in the context of MLOps. I gave it a try by creating web app with Python Flask.

Comparison of machine learning platforms in major clouds

Comparing the major machine learning platforms AWS SageMaker, Azure Machine Learning, Google Vertex AI and Databricks.

What is a machine learning platform?

What is a machine learning platform? Introducing different components such as workbench, MLOps tools and cloud computation.