Here is a presentation of the wealth management app I have developed.
I created a web server with Go language and deployed it Google Cloud Run inside a Docker container.
Visualize Finland’s postal code areas on a map in Google Looker Studio.
Looker Studio is a free reporting and business intelligence tool in Google Cloud.
User-Managed notebooks in Vertex AI are virtual workspaces for data exploration.
Around 30 questions I memorize from the Google Cloud Professional Machine Learning certification exam.
After 4 months of intense studying I passed the Google Cloud certification for Professional Machine Learning Engineer!
Google Cloud Platform has excellent toolset to operationalize and productionize machine learning models.
Tensorflow Extended (known as TFX) is a framework to define ML pipelines.
I have more experience from Pandas and Scikit-Learn Python libraries compared to Tensorflow.
Cloud certificates are proof of developer’s competence. But are they beneficial in practice?
Recommendation systems are useful to personalize experience and find relevant items among huge catalogs.
Dataflow product in Google Cloud is mandatory for advanced data processing pipelines for machine learning solutions.
Some Google materials refer to it as Fully managed Tensorflow.
BigQuery is by far the most important storage and processing service in Google Cloud from ML perspective.
This is a summary of Google Cloud Platform (GCP) products relevant for Machine Learning Engineer role.
I am preparing for Google Cloud Professional Machine Learning Engineer certification .
Hugo framework generates HTML files that load really fast. It does not have.
Comparing the major machine learning platforms AWS SageMaker, Azure Machine Learning, Google Vertex AI and Databricks.