A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
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[IDEA] Warning: Change of Terms of Service for Anaconda Python Repositories #571
In February 2022 Anaconda updated their "Terms of Service": https://www.anaconda.com/terms-of-service.
This means that Anaconda is now requiring commercial organizations to purchase licenses/subscriptions for their Python Repositories.
Both the Python Anaconda individual installer and the Miniconda installer are not affected by this change of the Terms of Conditions. The Python Anaconda or Miniconda installers are still free (including the basic python modules supplied with the installer).
However, under the new Terms and Conditions the usage of the Python Anaconda Repositories became licensed. This means that updating and installing modules from the Anaconda repositories requires a license. Also creating local conda environment using packages, that are downloaded from the anaconda repositories, is not allowed without a valid license. In fact: every conda command that accesses the anaconda repository requires a license.
As a consequence, my company (Philips) has decided to abandon all use of Anaconda repositories and to switch to Miniforge https://github.com/conda-forge/miniforge instead.
As far as I see all Jupyter notebooks of this project are running without difficulties using the "conda-forge" repository in place of Anaconda.
In February 2022 Anaconda updated their "Terms of Service": https://www.anaconda.com/terms-of-service. This means that Anaconda is now requiring commercial organizations to purchase licenses/subscriptions for their Python Repositories.
As a consequence, my company (Philips) has decided to abandon all use of Anaconda repositories and to switch to Miniforge https://github.com/conda-forge/miniforge instead.
As far as I see all Jupyter notebooks of this project are running without difficulties using the "conda-forge" repository in place of Anaconda.