#34 Machine Learning Specialization [Course 1, Week 3, Lesson 2]

Поделиться
HTML-код
  • Опубликовано: 30 ноя 2022
  • 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 3 (Classification), Lesson 2 (Cost function for logistic regression), Video 1 (Cost function for logistic regression).
    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
    Check out all our courses: bit.ly/3TTc2KA
    Subscribe to The Batch, our weekly newsletter: bit.ly/3TZUzju
    Follow us:
    Facebook: / deeplearningaihq
    LinkedIn: / deeplearningai
    Twitter: / deeplearningai_
  • РазвлеченияРазвлечения

Комментарии • 7

  • @prestoX
    @prestoX 2 месяца назад +2

    This truly remarkable, had to watch few times to fully consume , although video could be made bit longer ,explaining each detail deeply.

  • @akshatdobhal1690
    @akshatdobhal1690 Год назад +15

    okay this is where things got a bit confusing

  • @user-yw6xd1ju5q
    @user-yw6xd1ju5q Год назад

    thx

  • @DrYoshi7
    @DrYoshi7 9 месяцев назад +1

    This course needs a mini stats class for beginners to explain error

  • @youssifgamal8545
    @youssifgamal8545 Год назад +1

    what is the base of the log ?

    • @e.galois4940
      @e.galois4940 11 месяцев назад +4

      In theory, any base works. In practice, i guess 2, 10 or e

    • @warpdrive9229
      @warpdrive9229 4 месяца назад

      Any base works. Just use e