lyj555/SelfLearning
该项目主要是自学过程中对于一些知识点的整理，项目整体分为四部分，分别是算法、工程、工具和数学知识。算法部分主要是常用的机器学习（LR、SVM、树模型、XGBoost、LightGBM和CatBoost等）和深度学习算法（NLP和CV以及一些基础知识），工程部分主要是spark和hive
This project is a comprehensive personal knowledge base designed for individuals who are self-learning or upskilling in artificial intelligence and big data. It provides structured notes and explanations on key algorithms like machine learning and deep learning, big data engineering frameworks, essential developer tools, and foundational mathematics. This resource is for students, aspiring data scientists, or AI engineers who want to organize their learning journey and grasp complex technical concepts.
No commits in the last 6 months.
Use this if you are independently studying machine learning, deep learning, big data technologies, or related engineering tools and need a structured collection of learning notes and explanations.
Not ideal if you are looking for a ready-to-use software library, an API, or a platform for deploying models, as this is primarily an educational content repository.
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Last pushed
Apr 17, 2022
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