What is the difference between AutoML and Vertex AI?
AutoML and Vertex AI are two machine learning services offered by Google Cloud Platform (GCP) that aim to simplify the process of building and deploying machine learning models. While both services share the goal of enabling users to leverage machine learning capabilities without extensive expertise, there are several key differences between AutoML and Vertex AI.
What is containerized application?
A containerized application, in the context of Cloud Computing and specifically in relation to Google Cloud Platform (GCP) and Google Kubernetes Engine (GKE), refers to the practice of packaging an application and its dependencies into a self-contained unit called a container. This containerization approach enables the application to run consistently and reliably across different computing
- Published in Cloud Computing, EITC/CL/GCP Google Cloud Platform, GCP basic concepts, Google Kubernetes Engine GKE
What is the difference between Dataflow and BigQuery?
Dataflow and BigQuery are both powerful tools offered by Google Cloud Platform (GCP) for data analysis, but they serve different purposes and have distinct features. Understanding the differences between these services is crucial for organizations to choose the right tool for their analytic needs. Dataflow is a managed service provided by GCP for executing parallel
- Published in Cloud Computing, EITC/CL/GCP Google Cloud Platform, GCP basic concepts, Dataflow
How to configure a cloud shell?
To configure a Cloud Shell in the Google Cloud Platform (GCP), you need to follow a few steps. Cloud Shell is a web-based, interactive shell environment that provides access to a virtual machine (VM) with pre-installed tools and libraries. It allows you to manage your GCP resources and perform various tasks without the need for
How to differentiate Google Cloud Console and Google Cloud Platform?
The Google Cloud Console and the Google Cloud Platform are two distinct components within the broader ecosystem of Google Cloud services. While they are closely related, it is important to understand the differences between them to effectively navigate and utilize the Google Cloud environment. The Google Cloud Console, also known as the GCP Console, is
What is Google Cloud Platform (GCP)?
GCP, or Google Cloud Platform, is a suite of cloud computing services provided by Google. It offers a wide range of tools and services that enable developers and organizations to build, deploy, and scale applications and services on Google's infrastructure. GCP provides a robust and secure environment for running various workloads, including artificial intelligence and
Does the Google Cloud Machine Learning Engine (CMLE) offer automatic resource acquisition and configuration and handle resource shutdown after the training of the model is finished?
Cloud Machine Learning Engine (CMLE) is a powerful tool provided by Google Cloud Platform (GCP) for training machine learning models in a distributed and parallel manner. However, it does not offer automatic resource acquisition and configuration, nor does it handle resource shutdown after the training of the model is finished. In this answer, we will
Is it necessary to first upload to Google Storage (GCS) a dataset to train on it a machine learning model in the Google Cloud?
In the field of Artificial Intelligence and machine learning, the process of training models in the cloud involves various steps and considerations. One such consideration is the storage of the dataset used for training. While it is not an absolute requirement to upload the dataset to Google Storage (GCS) before training a machine learning model
Can uploading of small to medium datasets be done with the gsutil command-line tool through the network?
The gsutil command-line tool, provided by Google Cloud Platform, offers a convenient and efficient way to upload small to medium datasets through the network. With gsutil, users can interact with Google Cloud Storage, a scalable and durable object storage service, to store and retrieve data. To upload datasets using gsutil, you need to have the
What is Cloud AutoML?
Cloud AutoML is a powerful tool offered by Google Cloud Platform (GCP) that enables users to build custom machine learning models without extensive knowledge of machine learning or coding expertise. It simplifies the process of creating, training, and deploying machine learning models by automating various tasks. At its core, AutoML is designed to democratize machine
- Published in Cloud Computing, EITC/CL/GCP Google Cloud Platform, GCP overview, GCP Machine Learning overview