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Machine Learning - Raw Knowledge by anh051042 is a document available to read on EtoBox.
What is Machine Learning - Raw Knowledge about?
The document provides an overview of machine learning (ML), explaining its core concepts, types of ML systems, and the processes involved in supervised learning. It details categories such as supervised, unsupervised, reinforcement learning, and generative AI, along with their applications and methodologies. Additionally, it emphasizes the importance of data, model training, evaluation, and inference in developing effective ML models.
- Author
- anh051042
- Language
- EN