Wealth management web app - Technical implementation

Here is a presentation of the wealth management app I have developed.

Go web server in Docker deployed to Google Cloud Run

I created a web server with Go language and deployed it Google Cloud Run inside a Docker container.

Visualizing Finland's postal codes in a Filled map in Google Looker Studio

Visualize Finland’s postal code areas on a map in Google Looker Studio.

Public report in Looker Studio requires login - Instructions to solve

Looker Studio is a free reporting and business intelligence tool in Google Cloud.

Vertex AI User-Managed notebooks auto shutdown

User-Managed notebooks in Vertex AI are virtual workspaces for data exploration.

30 questions for Google Cloud Professional Machine Learning Engineer exam

Around 30 questions I memorize from the Google Cloud Professional Machine Learning certification exam.

I became a certified Google Cloud Professional Machine Learning Engineer!

After 4 months of intense studying I passed the Google Cloud certification for Professional Machine Learning Engineer!

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.

Tensorflow for ML Engineers

I have more experience from Pandas and Scikit-Learn Python libraries compared to Tensorflow.

Are cloud certificates beneficial?

Cloud certificates are proof of developer’s competence. But are they beneficial in practice?

Recommendation systems in Google Cloud

Recommendation systems are useful to personalize experience and find relevant items among huge catalogs.

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.

BigQuery for ML Engineers in Google Cloud

BigQuery is by far the most important storage and processing service in Google Cloud from ML perspective.

Machine learning products in Google Cloud

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

Google Cloud ML Engineer certification - Training and preparing

I am preparing for Google Cloud Professional Machine Learning Engineer certification .

Backend for Hugo website

Hugo framework generates HTML files that load really fast. It does not have.

Comparison of machine learning platforms in major clouds

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