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  1. Machine Learning Video Analysis: Identifying Fish. Machine learning, combined with some standard image processing techniques, can result in powerful video analysis tools. In this article, Toptal Freelance Software Engineer Michael Karchevsky walks through a solution for a machine learning competition that identifies the species and lengths of ...

  2. VideoLectures.NET is the primary video archive for machine learning. Much of its content focuses on the field, incorporating conferences, workshops, lectures, and even discussions. TechTalks.tv is the second most used archive. Notably, many ICML videos are located here. Slideslive is recently being used by the ML community. Eg: ICML, NeurIPS, ICLR.

  3. Aug 30, 2023 · Two Minute Papers make 2 minutes (almost) long videos explaining a research paper. If you are keen into research field then you may want to check out the following series. Channel: Two Minute Papers. 8. Lex Fridman Podcast. Lex Fridman Podcast is one of the most popular and best machine learning YouTube channels.

  4. Mobile Legends (@mlbbttofficial) on TikTok | 46.5M Likes. 7.9M Followers. ⚠️USE #mlbbcreator to get noticed 🎮 DOWNLOAD👇🏻 linktr.ee/MobileLegendsOL.Watch the latest video from Mobile Legends (@mlbbttofficial).

  5. May 6, 2020 · Machine Learning Foundations is a free training course where you’ll learn the fundamentals of building machine learned models using TensorFlow.In Episode 1 w...

    • May 6, 2020
    • 183.7K
    • Google for Developers
  6. Master your path. To become an expert in machine learning, you first need a strong foundation in four learning areas: coding, math, ML theory, and how to build your own ML project from start to finish. Begin with TensorFlow's curated curriculums to improve these four skills, or choose your own learning path by exploring our resource library below.

  7. Specialization - 3 course series. The Machine Learning Specialization is a foundational online program created in collaboration between DeepLearning.AI and Stanford Online. This beginner-friendly program will teach you the fundamentals of machine learning and how to use these techniques to build real-world AI applications.

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