GCP

Cost I recently used GCP’s Document AI and was surprised by the cost, so I wrote it down. cost Form parser was 50 times more expensive than Document OCR; I thought Form parser was about the same as CloudVision, but it was almost 50 times more expensive and the bill was outrageous. If you are one of those people, you might want to be careful.
Cloud TPU Cloud TPU is Google’s machine learning processor, and many companies may be considering installing it to analyze their customer data. In this article, I will introduce how to use Cloud TPU and its advantages and disadvantages. If you want to perform machine learning, please refer to this article. How to use Cloud TPU To use Cloud TPU, you can configure various settings from Cloud Shell. First, let’s open the Cloud Shell window.
Cloud Speech API In this article, I’ll show you how to use the Cloud Speech API to convert audio data into text. In this article, I will introduce the usage, advantages, and disadvantages of the Cloud Speech API. If you want to analyze voice data, please refer to this article. How to use the Cloud Speech API Make sure that the Cloud Speech API is enabled. Once the Cloud Speech API is enabled, create a new project.
Cloud Vision API The Cloud Vision API is famous for its ability to perform image analysis, and many companies may be considering implementing it to analyze image data stored in their company. In this article, we will introduce how to use the Cloud Vision API and its advantages and disadvantages. If you want to extract data from images, please refer to this article. How to use the Cloud Vision API Make sure that the Cloud Vision API is enabled.
Cloud Auto ML Introduction Cloud Auto ML is a powerful tool for creating machine models. In this article, we will introduce how to use Cloud Auto ML and its advantages and disadvantages. How to use Cloud Auto ML From the GCP navigation menu, go to “APIs and Services” and enable the “Cloud Auto ML API”. Now all you have to do is create a new project that you want to machine learn.
Google Cloud Natural Language API In this article, we will introduce the usage, advantages and disadvantages of Google Cloud Natural Language API. In this article, I will introduce how to use Google Cloud Natural Language API and its merits and demerits. How to use Google Cloud Natural Language From the navigation menu of GCP, check if the Google Cloud Natural Language API is enabled. If it is enabled, jump to the admin page to get the API key.
Google Cloud Machine Learning Introduction Google Cloud Machine Learning is a machine learning tool provided by Google. Many of you may be considering introducing it to analyze your vast amount of internal data. In this article, I will introduce how to use Google Cloud Machine Learning, as well as its advantages and disadvantages. How to use Google Cloud Machine Learning Click “APIs and Services” in the navigation menu of GCP, and enable the following APIs.
What is BigQeury? BigQeury is a famous data warehousing engine that can be used to analyze big data at high speed. In this article, we will introduce the usage, advantages and disadvantages of BigQeury. How to use BigQeury Load data. Once you have created a GCP project, you can load the data you want to store and manage. There are three ways to do this: “fix the project”, “check a publicly available dataset”, or “use an external data source”.
What is Cloud Functions? Cloud Functions is a serverless way to execute functions, and many of you may be considering using it because it eliminates the need to run servers. In this article, we will introduce how to use Cloud Functions and its advantages and disadvantages. How to use Cloud Functions Login to GCP and create a project. Cloud Functions is one of the services provided by GCP. So, to use Cloud Functions, login to GCP and create a project.
What is CloudSQL? CloudSQL is a high performance cloud database, provided by Google. In this article, we will introduce how to use CloudSQL and its advantages and disadvantages. How to use CloudSQL The steps to use CloudSQL are as follows: 1. access GCP create an instance of Cloud SQL Create a database 4. connect to the database Each of these steps is explained in detail below. Accessing GCP First of all, let’s access GCP so that we can use it; CloudSQL can be used only after GCP is available.