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. The instructions requires a Google Cloud project and a BigQuery database.
Public report in Looker Studio requires login - Instructions to solve
Looker Studio is a free reporting and business intelligence tool in Google Cloud. Read this, if you are redirected to Google account login page after trying to share a Looker Studio report publicly.
Vertex AI User-Managed notebooks auto shutdown
User-Managed notebooks in Vertex AI are virtual workspaces for data exploration. But they lack automatic shutdown after being idle for specific amount of time.
30 questions for Google Cloud Professional Machine Learning Engineer exam
Around 30 questions I memorize from the Google Cloud Professional Machine Learning certification exam. You find all sources for exam training questions from my preparation tips.
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. The extensions are obviously compatible with the core Tensorflow.
Tensorflow for ML Engineers
I have more experience from Pandas and Scikit-Learn Python libraries compared to Tensorflow. I was surprised how large the Tensorflow ecosystem with its ML engineering extensions.
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. As a drawback the developer needs to be more creative with some essential functionalities such as site search and sending contact forms.
Comparison of machine learning platforms in major clouds
Comparing the major machine learning platforms AWS SageMaker, Azure Machine Learning, Google Vertex AI and Databricks.