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  2. OpenShot - Wikipedia

    en.wikipedia.org/wiki/OpenShot

    OpenShot Video Editor is a free and open-source video editor for Windows, macOS, Linux, and ChromeOS. The project started in August 2008 by Jonathan Thomas, with the objective of providing a stable, free, and friendly to use video editor.

  3. List of video editing software - Wikipedia

    en.wikipedia.org/wiki/List_of_video_editing_software

    The following is a list of video editing software. The criterion for inclusion in this list is the ability to perform non-linear video editing. Most modern transcoding software supports transcoding a portion of a video clip, which would count as cropping and trimming. However, items in this article have one of the following conditions:

  4. Category : Free and open-source video-editing software

    en.wikipedia.org/wiki/Category:Free_and_open...

    Pages in category "Free and open-source video-editing software" The following 6 pages are in this category, out of 6 total. This list may not reflect recent changes .

  5. Video editing - Wikipedia

    en.wikipedia.org/wiki/Video_editing

    Extracurricular courses in elementary schools throughout the United States have been started to educate students on the importance of video editing and practice video production. [15] Notable themes of videos being taught in schools include music videos and short documentaries ; some of which win awards such as one from Panasonic .

  6. 4 Ways To Make Money With AI on YouTube - AOL

    www.aol.com/finance/4-ways-money-ai-youtube...

    YouTube is one of the most popular platforms for online video content, with over 2 billion monthly active users. Many creators use YouTube to share their passions and entertain their audiences.

  7. Andrew Ng - Wikipedia

    en.wikipedia.org/wiki/Andrew_Ng

    His machine learning course CS229 at Stanford is the most popular course offered on campus with over 1,000 students enrolling some years. [ 24 ] [ 25 ] As of 2020, three of most popular courses on Coursera are Ng's: Machine Learning (#1), AI for Everyone (#5), Neural Networks and Deep Learning (#6).