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Questions and answers designated by tag: Google Cloud Platform

How to calculate the IP address range for a subnet?

Tuesday, 08 October 2024 by Monica Tran

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
Tagged under: CIDR, Cloud Computing, Google Cloud Platform, IP Addressing, Network Administration, Subnetting

How to best summarize what is TensorFlow?

Thursday, 13 June 2024 by Filipa Rodrigues

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.

  • Published in Artificial Intelligence, EITC/AI/GCML Google Cloud Machine Learning, First steps in Machine Learning, Plain and simple estimators
Tagged under: Artificial Intelligence, Automatic Differentiation, Deep Learning, Distributed Computing, Estimator API, Google Cloud Platform, Keras, Machine Learning, TensorBoard, TensorFlow, Tf.data

What is the difference between Cloud AutoML and Cloud AI Platform?

Thursday, 30 May 2024 by Arcadio Martín

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

  • Published in Cloud Computing, EITC/CL/GCP Google Cloud Platform, GCP overview, GCP Machine Learning overview
Tagged under: Artificial Intelligence, Cloud AI Platform, Cloud AutoML, Cloud Computing, Google Cloud Platform, Machine Learning

What is the difference between Big Table and BigQuery?

Monday, 27 May 2024 by Arcadio Martín

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
Tagged under: BigQuery, Bigtable, Cloud Computing, Data Analytics, Data Warehousing, Google Cloud Platform, NoSQL, Performance, Real-Time Analytics, Scalability, SQL

Is there an Android mobile application that can be used for management of Google Cloud Platform?

Tuesday, 07 May 2024 by ankarb

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

  • Published in Cloud Computing, EITC/CL/GCP Google Cloud Platform, Introductions, GCP developer and management tools
Tagged under: Android, Cloud Computing, GCP, Google Cloud Platform, Mobile Applications

What are the ways to manage the Google Cloud Platform ?

Tuesday, 07 May 2024 by ankarb

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
Tagged under: Cloud Computing, Cloud Monitoring, GCP Tools, Google Cloud Platform, Infrastructure Management

What is cloud computing?

Monday, 22 April 2024 by Eduard Pepushaj

Cloud computing is a paradigm that involves delivering various computing services over the internet. It enables users to access and utilize a wide range of resources, such as servers, storage, databases, networking, software, and more, without the need for owning or managing the physical infrastructure. This model offers flexibility, scalability, cost-efficiency, and improved performance compared

  • Published in Cloud Computing, EITC/CL/GCP Google Cloud Platform, Introductions, The essentials of GCP
Tagged under: Cloud Computing, Google Cloud Platform, IaaS, PaaS, SaaS

What are some predefined categories for object recognition in Google Vision API?

Saturday, 20 April 2024 by ankarb

The Google Vision API, a part of Google Cloud's machine learning capabilities, offers advanced image understanding functionalities, including object recognition. In the context of object recognition, the API employs a set of predefined categories to identify objects within images accurately. These predefined categories serve as reference points for the API's machine learning models to classify

  • Published in Artificial Intelligence, EITC/AI/GVAPI Google Vision API, Advanced images understanding, Objects detection
Tagged under: Artificial Intelligence, Computer Vision, Google Cloud Platform, Image Recognition, Machine Learning, Object Classification

How can one start making AI models in Google Cloud for serverless predictions at scale?

Tuesday, 19 March 2024 by JFG

To embark on the journey of creating artificial intelligence (AI) models using Google Cloud Machine Learning for serverless predictions at scale, one must follow a structured approach that encompasses several key steps. These steps involve understanding the basics of machine learning, familiarizing oneself with Google Cloud's AI services, setting up a development environment, preparing and

  • Published in Artificial Intelligence, EITC/AI/GCML Google Cloud Machine Learning, First steps in Machine Learning, Serverless predictions at scale
Tagged under: AI Development, Artificial Intelligence, Data Preparation, Google Cloud Platform, Machine Learning Basics, Model Deployment

How do we set up our environment and create a client instance to use the detect crop hints method?

Wednesday, 27 December 2023 by EITCA Academy

To set up your environment and create a client instance for using the detect crop hints method in the Google Vision API, you will need to follow a series of steps. This process involves configuring your environment, installing the necessary software dependencies, authenticating your application, and finally creating a client instance to interact with the

  • Published in Artificial Intelligence, EITC/AI/GVAPI Google Vision API, Understanding images, Detecting crop hints, Examination review
Tagged under: Artificial Intelligence, Client Instance, Detect Crop Hints, Environment Setup, Google Cloud Platform, Vision API
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