In what scenarios would one choose batch predictions over real-time (online) predictions when serving a machine learning model on Google Cloud, and what are the trade-offs of each approach?
When deciding between batch predictions and real-time (online) predictions on Google Cloud for serving a machine learning model, it's important to consider the specific requirements of your application, as well as the trade-offs associated with each approach. Both methodologies have distinct advantages and limitations that can significantly impact performance, cost, and user experience. Batch Predictions
How to create a version of the model?
Creating a version of a machine learning model in Google Cloud Platform (GCP) is a critical step in deploying models for serverless predictions at scale. A version in this context refers to a specific instance of a model that can be used for predictions. This process is integral to managing and maintaining different iterations of
How can one sign up to Google Cloud Platform for hands-on experience and to practice?
To sign up for Google Cloud in the context of the Artificial Intelligence and Machine Learning certification programme, specifically focusing on serverless predictions at scale, you will need to follow a series of steps that will enable you to access the platform and utilize its resources effectively. Google Cloud Platform (GCP) offers a wide range
How much does 1000 face detections cost?
To determine the cost of detecting 1000 faces using the Google Vision API, it is essential to understand the pricing model provided by Google Cloud for its Vision API services. The Google Vision API offers a broad range of functionalities, including face detection, label detection, landmark detection, and more. Each of these functionalities is priced
How to calculate the IP address range for a subnet?
To accurately calculate the IP address range for a subnet within a Virtual Private Cloud (VPC) in Google Cloud Platform (GCP), one must possess a fundamental understanding of IP addressing, subnetting principles, and how these are applied within the context of GCP's networking infrastructure. This process involves determining the range of IP addresses that are
- Published in Cloud Computing, EITC/CL/GCP Google Cloud Platform, Getting started with GCP, Cloud VPC
How to best summarize what is TensorFlow?
TensorFlow is an open-source machine learning framework developed by the Google Brain team. It is designed to facilitate the development and deployment of machine learning models, particularly those involving deep learning. TensorFlow allows developers and researchers to create computational graphs, which are structures that describe how data flows through a series of operations, or nodes.
What is the difference between Cloud AutoML and Cloud AI Platform?
Cloud AutoML and Cloud AI Platform are two distinct services offered by Google Cloud Platform (GCP) that cater to different aspects of machine learning (ML) and artificial intelligence (AI). Both services aim to simplify and enhance the development, deployment, and management of ML models, but they target different user bases and use cases. Understanding the
What is the difference between Big Table and BigQuery?
Bigtable and BigQuery are both integral components of the Google Cloud Platform (GCP), yet they serve distinct purposes and are optimized for different types of workloads. Understanding the differences between these two services is important for effectively leveraging their capabilities in cloud computing environments. Google Cloud Bigtable Google Cloud Bigtable is a fully managed, scalable
- Published in Cloud Computing, EITC/CL/GCP Google Cloud Platform, Introductions, The essentials of GCP
Is there an Android mobile application that can be used for management of Google Cloud Platform?
Yes, there are several Android mobile applications that can be used for managing Google Cloud Platform (GCP). These applications provide developers and system administrators with the flexibility to monitor, manage, and troubleshoot their cloud resources on the go. One such application is the official Google Cloud Console app, available on the Google Play Store. The
What are the ways to manage the Google Cloud Platform ?
Managing the Google Cloud Platform (GCP) involves utilizing a variety of tools and techniques to efficiently handle resources, monitor performance, and ensure security and compliance. There are several ways to manage GCP effectively, each serving a specific purpose in the development and management lifecycle. 1. Google Cloud Console: The Google Cloud Console is a web-based
- Published in Cloud Computing, EITC/CL/GCP Google Cloud Platform, Introductions, GCP developer and management tools