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2. Entrepreneurship - Wikipedia

   en.wikipedia.org/wiki/Entrepreneurship

   At least early on, entrepreneurs often "bootstrap-finance" their start-up rather than seeking external investors from the start. One of the reasons that some entrepreneurs prefer to "bootstrap" is that obtaining equity financing requires the entrepreneur to provide ownership shares to the investors. If the start-up becomes successful later on ...

3. AngularJS - Wikipedia

   en.wikipedia.org/wiki/AngularJS

   AngularJS's design goals included: to decouple DOM manipulation from application logic. The difficulty of this is dramatically affected by the way the code is structured. to decouple the client side of an application from the server-side. This allows development work to progress in parallel and allows for reuse of both sides.

4. How much does the average small business owner make? - AOL

   www.aol.com/finance/much-does-average-small...

   The average small business owner’s salary in the U.S. stands at $99,979, according to ZipRecruiter’s average salary data by state. The typical salary range for a small business owner is ...

5. Bootstrapping - Wikipedia

   en.wikipedia.org/wiki/Bootstrapping

   In computer technology, the term bootstrapping refers to language compilers that are able to be coded in the same language. (For example, a C compiler is now written in the C language. Once the basic compiler is written, improvements can be iteratively made, thus pulling the language up by its bootstraps).

6. Programming languages used in most popular websites

   en.wikipedia.org/wiki/Programming_languages_used...

   One thing the most visited websites have in common is that they are dynamic websites. Their development typically involves server-side coding, client-side coding and database technology. The programming languages applied to deliver dynamic web content, however, vary vastly between sites.

7. Bootstrap aggregating - Wikipedia

   en.wikipedia.org/wiki/Bootstrap_aggregating

   v. t. e. Bootstrap aggregating, also called bagging (from b ootstrap agg regat ing ), is a machine learning ensemble meta-algorithm designed to improve the stability and accuracy of machine learning algorithms used in statistical classification and regression. It also reduces variance and helps to avoid overfitting.