eBooks E-Books Lecture 1: Introduction to Computer Science and Programming (M-I-T) 24 Course Overview; What Do Computer Scientists Do? Lecture 19: More Optimization and Clustering (M-I-T) 23 Stock Market Simulation Lecture 18: Optimization Problems and Algorithms (M-I-T) 22 Normal, Uniform, and Exponential Distributions Lecture 17: Curve Fitting (M-I-T) 21 Validating Simulation Results, Curve Fitting, Linear Regression Lecture 16: Using Randomness to Solve Non-random Problems (M-I-T) 20 Monte Carlo Simulations, Estimating pi Lecture 15: Statistical Thinking (M-I-T) 2 Branching, Conditionals, and Iteration Lecture 14: Sampling and Monte Carlo Simulation (M-I-T) 19 Biased Random Walks, Distributions 18 Presenting Simulation Results, Pylab, Plotting Lecture 13: Some Basic Probability and Plotting Data (M-I-T) « Previous 1 … 2,303 2,304 2,305 2,306 2,307 … 4,276 Next »
