Data Science/Machine Learning
- [Coursera Stanford Machine Learning (week 7)] Kernel and using SVM 2023.03.07
- [Coursera Stanford Machine Learning (week 7)] SVM: Support Vector Machine 2023.02.17
- [Coursera Stanford Machine Learning (week 6)]Machine Learning system design 2023.02.17
- [Coursera Stanford Machine Learning (week 6)]Advice for applying machine learning 2023.02.15
- [Coursera Stanford Machine Learning (week 5)] Neural Networks - Cost Function and Backpropagation 2023.02.15
- [Coursera Stanford Machine Learning (week4)] Applications 2023.02.08
- [Coursera Stanford Machine Learning (week4)] Neural Networks 2023.02.08
- [Coursera Stanford Machine Learning (week4)] Neural Network Motivations 2023.02.07
- [Coursera Stanford Machine Learning (week3)]Solving the problem of overfitting 2023.02.07
- [Coursera Stanford Machine Learning (week 3)] Logistic Regression Model 2023.02.06
- [Coursera Stanford Machine Learning (week3) ]Classification and Representation 2023.02.06
- [Coursera Stanford Machine Learning (week 2)] Computing parameters Analytically 2023.02.03
- [Coursera Stanford Machine Learning (week 2)] Multivariate Linear Regression 2023.02.03
- [Coursera Stanford Machine Learning (week 1)] Parameter Learning 2023.02.02
- [Coursera Stanford Machine learning (week 1)] Model and Cost Function 2023.02.01