Statistics for data science: intuition and practice
Statistics for data science: intuition and practice Statistics is the language of uncertainty in data science. A good intuition helps you ask the right questions and spot red flags early, but it must be checked with data and solid methods. This balance makes decisions clearer and more trustworthy. Think about randomness, sampling, and distributions. A model learns from data, but data are noisy. So expect variation in performance. Distinguish correlation from causation and beware of data leakage when you split data. Intuition helps you spot when something looks oddly strong, but data confirms or questions that feeling. ...