ben1234560/AiLearning-Theory-Applying
A Chinese-language educational repository covering ML, DL, NLP, and Kaggle competitions with extensively commented notebooks and practice datasets.
Not currently ranked — collecting fresh signals.
star history
This repository provides a structured curriculum for learning artificial intelligence and machine learning fundamentals. It covers prerequisites including mathematics (calculus, linear algebra, probability theory), machine learning algorithms, deep learning concepts, and natural language processing with BERT. The materials include extensive code comments and datasets designed to help learners understand and reproduce implementations, with some content focused on Kaggle competition strategies.
Frequently asked
- What is ben1234560/AiLearning-Theory-Applying?
- A Chinese-language educational repository covering ML, DL, NLP, and Kaggle competitions with extensively commented notebooks and practice datasets.
- Is AiLearning-Theory-Applying open source?
- Yes — ben1234560/AiLearning-Theory-Applying is open source, released under the MIT license.
- What language is AiLearning-Theory-Applying written in?
- ben1234560/AiLearning-Theory-Applying is primarily written in Jupyter Notebook.
- How popular is AiLearning-Theory-Applying?
- ben1234560/AiLearning-Theory-Applying has 3.5k stars on GitHub.
- Where can I find AiLearning-Theory-Applying?
- ben1234560/AiLearning-Theory-Applying is on GitHub at https://github.com/ben1234560/AiLearning-Theory-Applying.