JupyterHub is the best way to serve Jupyter notebook for multiple users. It can be used in a class of students, a corporate data science group or scientific research group. It is a multi-user Hub that spawns, manages, and proxies multiple instances of the single-user Jupyter notebook server.
https://www.ibm.com/cloud/learn/neural-networks - Neural networks @ IBM
https://deepai.org/research - Data science research
https://you.com - AI search
https://www.perplexity.ai - the AI to search and share the information
https://app.writesonic.com - chatsonic
https://chat.openai.com - chatGPT
https://www.geeksforgeeks.org - a lot of useful technical info for data science
https://www.kaggle.com - is not just a free website, but Kaggle is also a community that supports high-quality Data Science, Machine Learning, and Deep Learning projects, among many other options available.
https://towardsdatascience.com - is one of the biggest publications on Medium that is one of the best websites for the viewers to acknowledge thoughts, ideas, codes, and information related to Data Science, Machine Learning, Visualizations, computer vision, and so much more.
https://ai.google - is a division of Google dedicated to artificial intelligence. The website is also free and provides information related to Data Science and Machine learning.
https://www.tensorflow.org - is one of the best deep learning frameworks to develop some stupendous Data Science and Machine Learning projects.
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Andrey Ye. Shevel