Coursera Introduction to Machine Learning 2024 02 basics of model learning 01 logistic regression as running example 02 how do we evaluate our networks en srt

Coursera Introduction to Machine Learning 2024
02 basics of model learning 01 logistic regression as running example 02 how do we evaluate our networks en srt

Name	Coursera - Introduction to Machine Learning 2024-3	DOWNLOAD Copy Link Trouble downloading? see How To
Total Size	1.5 GB
Total Files	280
Last Seen	2025-08-14 23:40
Hash	B46C7AAEB5FA99253AB6E5B6F0CD9EC5613CD2B1

/02_basics-of-model-learning/01_logistic-regression-as-running-example/02_how-do-we-evaluate-our-networks.en.srt	21.1 KB
/02_basics-of-model-learning/01_logistic-regression-as-running-example/02_how-do-we-evaluate-our-networks.en.txt	12.7 KB
/02_basics-of-model-learning/01_logistic-regression-as-running-example/02_how-do-we-evaluate-our-networks.mp4	26.8 MB
/02_basics-of-model-learning/01_logistic-regression-as-running-example/01_how-do-we-define-learning.en.srt	14.8 KB
/02_basics-of-model-learning/01_logistic-regression-as-running-example/01_how-do-we-define-learning.en.txt	9.1 KB
/02_basics-of-model-learning/01_logistic-regression-as-running-example/01_how-do-we-define-learning.mp4	43.0 MB
/02_basics-of-model-learning/01_logistic-regression-as-running-example/03_lesson-one_quiz.html	4.6 KB
/02_basics-of-model-learning/02_learning-via-gradient-descent/01_how-do-we-learn-our-network.en.srt	11.3 KB
/02_basics-of-model-learning/01_logistic-regression-as-running-example/02_how-do-we-evaluate-our-networks_2.1.20_How_do_we_evaluate_our_networkds.pdf	1.8 MB
/02_basics-of-model-learning/02_learning-via-gradient-descent/01_how-do-we-learn-our-network.en.txt	6.8 KB
/02_basics-of-model-learning/01_logistic-regression-as-running-example/01_how-do-we-define-learning_2.1.10_How_do_we_define_learning.pdf	110.4 KB
/02_basics-of-model-learning/02_learning-via-gradient-descent/01_how-do-we-learn-our-network.mp4	18.9 MB
/02_basics-of-model-learning/02_learning-via-gradient-descent/02_how-do-we-handle-big-data.en.srt	16.8 KB
/02_basics-of-model-learning/02_learning-via-gradient-descent/02_how-do-we-handle-big-data.en.txt	10.3 KB
/02_basics-of-model-learning/02_learning-via-gradient-descent/02_how-do-we-handle-big-data.mp4	29.7 MB
Showing first 15 files of 280 total files