One of the most common issues I encounter in data cleaning and exploratory analysis is handling missing data. First, we need to understand that there is no perfect method to solve this problem. Different issues have different data imputation methods—time series analysis, machine learning, regression models, etc., making it difficult to provide a universal solution. … Read more
Optimization Models 1.1 Mathematical Programming Models Linear programming, integer linear programming, nonlinear programming, multi-objective programming, dynamic programming. 1.2 Differential Equation Models Stagnation growth model, SARS transmission model. 1.3 Graph Theory and Network Optimization Problems Shortest path problem, maximum flow problem, minimum cost maximum flow problem, minimum spanning tree problem (MST), traveling salesman problem (TSP), graph … Read more
Click the image below to search【Interview Guide】 to obtain interview questions + resume templates. In the field of machine learning, there is a saying that “there is no free lunch”. In simple terms, it means that no single algorithm can perform best on every problem. This theory is particularly important in supervised learning. For example, … Read more