Bootstrapping is a term that can refer to several different concepts, including:

1. Self-starting process: In general, bootstrapping refers to a self-starting process that is supposed to continue or grow without external input.

2. Entrepreneurship: In the context of entrepreneurship, bootstrapping describes a situation in which an entrepreneur starts a company with little capital, relying on money other than outside investments. This form of financing allows the entrepreneur to maintain more control, but it can also increase financial strain.

3. Statistics: Bootstrapping is a statistical method of inferring results for a population from results found on a collection of smaller random samples of that population, using resampling with replacement). This approach enables users to calculate standard errors, perform hypothesis testing, and construct confidence intervals for different types of sample statistics.

4. Machine learning: Bootstrapping is a technique used to iteratively improve a classifiers performance in machine learning. Typically, multiple classifiers will be trained on different sets of the input data, and on prediction tasks, the output of the different classifiers will be combined.

5. Programming: Bootstrapping can also refer to the development of successively more complex, faster programming environments. The simplest environment will be, perhaps, a very basic text editor and an assembler program. Using these tools, one can write a more complex text editor, and a simple compiler for a higher-level language and so on, until one can have a graphical IDE and an extremely high-level programming language.

In summary, bootstrapping can refer to a self-starting process, entrepreneurship, statistics, machine learning, and programming.