



MongoDB is a cross-platform, open-source database that uses a document-oriented data model rather than a relational database structure based on a traditional table. This type of model facilitates and speeds up the integration of structured and unstructured data.
MongoDB is a NoSQL database that stores large amounts of data using JSON-like documents along with optional schemas. It is a flexible data storage model that not only facilitates querying for the user, but also facilitates database management for developers.
In AI and machine learning projects, instead of processing raw data directly, it is necessary to make it more meaningful and processable. An important concept that comes into play at this point is Embedding.
NotebookLM is an artificial intelligence-powered note-taking and information management platform developed by Google. Integrated with Google's advanced Large Language Models (LLMs), this tool gives users the ability to organize, summarize, and analyze their notes more effectively.
Feature Engineering is one of the most labor-intensive and creative phases of the machine learning process. This process involves the transformation of raw data into more meaningful and processable properties. The basic principles of Feature Engineering include using domain knowledge, data discovery, understanding the nature of data, and problem-oriented thinking.
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