This cluster is about practical mathematical applications and explanations, aimed at different skill levels. Topics include linear regression from theory to implementation, the math behind the Cat in the Hat, and how LLMs can solve math problems by coding. It also discusses multinomial distributions, uniform and normal distributions, and how to use ChatGPT to ace math exams. These articles demonstrate various ways mathematical concepts are taught and used in real-world scenarios.
This cluster focuses on articles about various aspects of machine learning. It covers topics such as probability and statistics within machine learning, detailed explanations of decision trees, and insights into the importance of data sampling in building ML models. One article shares personal experience related to a data science interview.