The learning environment for Rabbit Challenge, which is a preparation course for the Deep Learning qualification test (E qualification) of the Japan Deep Learning Association, was conducted in the Databricks Community Edition, which can be used free of charge with a browser, so we will share it.
It is a cheap countermeasure account provided by Study-AI Co., Ltd. for 3000 yen per month, which is provided on the premise of promoting self-learning independently. Source: Rabbit ★ Challenge Deep Learning (ai999.careers)
Databricks Community Edition It is a free environment of Databricks, which is a service of data integration data platform (Lakehouse) that can perform big data processing by Spark and data analysis by Python and R. Source: Databricks-Integrated Data Analysis
This is because it can be used in actual business by learning with Databricks. Databricks are available in multi-clouds such as AWS and Azure and can be deployed on virtual networks to meet enterprise-level security requirements.
Anaconda was charged and difficult to use, and Google Colab could not be used for business from the viewpoint of security.
-Anaconda package repository was charged for "large" commercial use-Qiita
The following environment is required, and with the latest version of Databricks Runtime, Kearas (standalone) is not installed, so it seems better to use Databricks Runtime 6.4 ML.
For the libraries installed in Databricks Runtime 6.4 ML, refer to the following documents.
--Machine Learning Azure Databricks Databricks Runtime 6.4 --Workspace | Microsoft Docs
Source: Try Databricks
Source: Try Databricks
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