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! Google Cloud Platform certificates are considered to be challenging compared to other cloud platforms .
MLOps in Google Cloud
Google Cloud Platform has excellent toolset to operationalize and productionize machine learning models. Vertex AI is the key MLOps product while Google Kubernetes Engine is valid alternative for custom workflows.
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? I am talking about the certification diploma rather than the learning process.
Recommendation systems in Google Cloud
Recommendation systems are useful to personalize experience and find relevant items among huge catalogs. Recommendations have became signigficant sub topic of machine learning.
Dataflow for ML Engineers in Google Cloud
Dataflow product in Google Cloud is mandatory for advanced data processing pipelines for machine learning solutions. It performs typical data engineering tasks by allowing same code to execute both batch and streaming.
Vertex AI for ML Engineers in Google Cloud
Some Google materials refer to it as Fully managed Tensorflow. Vertex AI assumes that data is prepared elsewhere before training the model.
BigQuery for ML Engineers in Google Cloud
BigQuery is by far the most important storage and processing service in Google Cloud from ML perspective. It has many integrated functionalities for ML.
Machine learning products in Google Cloud
This is a summary of Google Cloud Platform (GCP) products relevant for Machine Learning Engineer role. Google philosphy seems to be that moving to their platform requires minimal changes to the existing solution.
Google Cloud ML Engineer certification - Training and preparing
I am preparing for Google Cloud Professional Machine Learning Engineer certification . The certification is mandatory in the project I am working on.
Bingo generator - Print bingo papers for wedding and other events
Printing bingo tickets for a wedding, excursion or company party? Go to the bingo generator browser application, with which you can create the desired number of randomly generated bingo tickets.
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.