Lectures related to Error Estimates: Lecture 6

Covers the basics of linear regression, binary and multi-class classification, and evaluation metrics.

Quantitative Analysis: Statistical Methods

Explains statistical methods in quantitative analysis, emphasizing precision, accuracy, and sample representation.

Introduces linear models in machine learning, covering basics, parametric models, multi-output regression, and evaluation metrics.

Scientific Approach and Metrology Introduction

Explores the scientific approach, radioactivity discovery, and metrology fundamentals, emphasizing experimentation, error analysis, and calibration techniques.

Elements of Statistics: Probability, Distributions, and Estimation

Covers probability theory, distributions, and estimation in statistics, emphasizing accuracy, precision, and resolution of measurements.