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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.

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.

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.

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.

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  .

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 .

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.

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 (known as TFX) is a framework to define ML pipelines. The extensions are obviously compatible with the core Tensorflow.

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.

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.

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.

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.

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 are useful to personalize experience and find relevant items among huge catalogs.
Recommendations have became signigficant sub topic of machine learning.

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 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.

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.

Some Google materials refer to it as Fully managed Tensorflow.
Vertex AI assumes that data is prepared elsewhere before training the model.

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 is by far the most important storage and processing service in Google Cloud from ML perspective.
It has many integrated functionalities for ML.

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.

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.

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.

I am preparing for Google Cloud Professional Machine Learning Engineer certification  .
The certification is mandatory in the project I am working on.

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.

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.

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.

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.

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.

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

Comparison of machine learning platforms in major clouds

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