60-recurit-management-system

In statistics, an expectation-maximization (EM) algorithm is a method for finding maximum likelihood or maximum a posteriori (MAP) estimates of parameters in statistical models, where the model depends on unobserved latent variables. EM is an iterative method which alternates between performing an expectation (E) step, which computes the expectation of the log-likelihood evaluated using the current estimate for the latent variables, and a maximization (M) step, which computes parameters maximizing the expected log-likelihood found on the E step. These parameter-estimates are then used to determine the distribution of the latent variables in the next E step.

MATLAB GUI教学视频2：设置GUI窗口尺寸可调(MATLAB GUI instruction video 2: Set the GUI window size adjustable)

matlab的基本函数及其用法，适用于matlab初学者(the basic functions and their usage of matlab, matlab beginner)

利用matlab建模的电机控制--双闭环直流调速系统定量仿真(Use of matlab modeling of motor control--double closed loop dc speed control system quantitative simulation )

run length encoding,decoding

此程序为matlab的关于空间增强的一段代码，已经用于开发的软件中(This process is enhanced matlab on a piece of code space has been used to develop the software)

关于自振动仿真的源代码，可以看看，第一传求关注，支持。(Source Courseware)

Optimized algorithm for nonmagnetic sample characterization

matlab toolbox three level ,you can use it to learn matlab

Python for Kids, Snake Wrangling for Kids - Learning to Program with Python 3, Windows ed. (2007)