#34 Machine Learning Specialization [Course 1, Week 3, Lesson 2]
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- 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
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This truly remarkable, had to watch few times to fully consume , although video could be made bit longer ,explaining each detail deeply.
okay this is where things got a bit confusing
thx
This course needs a mini stats class for beginners to explain error
what is the base of the log ?
In theory, any base works. In practice, i guess 2, 10 or e
Any base works. Just use e