Week2-Lecture5-Octave_Tutorial_1649497860120.pdf
Week3-Lecture6-Logistic_Regression_Classification_1649497860260.pdf
Week3-Lecture7-Overfitting_and_Regularization_1649497860442.pdf
Week4-Lecture8-Neural_Networks_Representation_1649497860807.pdf
Week5-Lecture9-Neural_Networks_Learning_1649497861232.pdf
Week6-Lecture10-Advice_For_Applying_Machine_Learning_1649497861436.pdf
Week6-Lecture11-Machine_Leanring_System_Design_and_Error_Analysis_1649497861495.pdf
Week7-Lecture12-Support_Vector_Machines_1649497861636.pdf
Week8-Lecture13-Unsupervised_Learning_Clustering_1649497861862.pdf
Week8-Lecture14-Dimentionality_Reduction_and_PCA_1649497861980.pdf
Week9-Lecture15-Unsupervised_Learning_Anomaly_Detection_1649497862126.pdf
Week9-Lecture16-Recommender_Systems_1649497862491.pdf
WEEK1-Linear Regression With One Variable_1649497852052.pdf
WEEK10-Large Scale Machine Learning _1649497852952.pdf
WEEK11-Application Example Photo OCR_1649497853291.pdf
WEEK2-Linear Regression with Multiple Variables _1649497853523.pdf
WEEK3-Logistic Regression and Regularization _1649497854306.pdf
WEEK4-Neural Networks_Representation_1649497854769.pdf
WEEK5-Neural Networks Learning _1649497855248.pdf
WEEK6-Evaluate a Learning Algorithm _1649497855937.pdf
WEEK7-Support Vector Machines_1649497856709.pdf
WEEK8-Unsupervised Learning and PCA_1649497857581.pdf
WEEK9-Anomaly Detection_1649497858413.pdf
Week1-Lecture1-Introduction_1649497858969.pdf
Week1-Lecture2-Model_Representation_1649497859201.pdf
Week1-Lecture3-Matrices_and_Vectors_1649497859561.pdf
Week10-Lecture17-Large_Scale_Machine_Learning_1649497859737.pdf
Week11-Lecture18-Example_Photo_OCR_1649497859882.pdf
Week2-Lecture4-Linear_Regression_with_Multiple_Variables_1649497860001.pdf