#9 Machine Learning Specialization [Course 1, Week 1, Lesson 3]

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  • Опубликовано: 22 май 2024
  • 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.
    This Specialization is taught by Andrew Ng, an AI visionary who has led critical research at Stanford University and groundbreaking work at Google Brain, Baidu, and Landing.AI to advance the AI field.
    This video is from Course 1 (Supervised Machine Learning Regression and Classification), Week 1 (Introduction to Machine Learning), Lesson 3 (Regression Model), Video 1 (Linear regression model part 1).
    To learn more and access the full course videos and assignments, enroll in the Machine Learning Specialization here: bit.ly/3ERmTAq
    Download the course slides: bit.ly/3AVNHwS
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Комментарии • 12

  • @Aspiring-Data-Scientist
    @Aspiring-Data-Scientist 10 месяцев назад +4

    Also add deep learning spacialization.

  • @divyakarlapudi
    @divyakarlapudi 7 месяцев назад +1

    it's just awesome !!

  • @johnm6495
    @johnm6495 7 месяцев назад

    With the training examples (x,y), why is superscript with parentheses used instead of merely using subscript?

  • @hafsazulfiqar727
    @hafsazulfiqar727 8 месяцев назад +2

    sir it's a great course but how can I access labs?

    • @iosifpuha6114
      @iosifpuha6114 3 месяца назад

      you have to pay for the course

    • @hafizbilal6893
      @hafizbilal6893 Месяц назад

      There are repos on github where students have uploaded their own labs for other's sake to practice. You can also access them. Otherwise, you would have to buy the course

  • @spicyshizz2850
    @spicyshizz2850 4 месяца назад +1

    How can I access the labs?

    • @hafizbilal6893
      @hafizbilal6893 Месяц назад +1

      There are repos on github where students have uploaded their own labs for other's sake to practice. You can also access them. Otherwise, you would have to buy the course

    • @nickst2797
      @nickst2797 28 дней назад

      @@hafizbilal6893 Do you know if there are videos for Courses 2 and 3? Seems like only Course 1 is located in this channel...