AI Mathematical Methods

🏷️ Content

📓Homework1:
- Linear Systems and Condition Number of Matrix
📓Homework2:
- Singular Value Decomposition and Dyads,
- Implementation of classificatin of MNIST digits trough SVD projection matrix,
- Implementation of PCA Clustering Algorithm
📓Homework3:
- Implementation of Gradient Descent Algorithm,
- Implemenation of Stochastic Gradient Descent Algorithm with Logistic Regression for Binary Classification
📓Homework4:
- Implementation of Maximun Likelihood Estimation and Maximum a Posteriori Algorithms for parameters estimation in Polynomial Regression

Name		Name	Last commit message	Last commit date
Latest commit History 6 Commits
README.md		README.md
homework1_CM_linear_algebra_and_floating_point_arithmetic.ipynb		homework1_CM_linear_algebra_and_floating_point_arithmetic.ipynb
homework2_1_CM_SVD.ipynb		homework2_1_CM_SVD.ipynb
homework2_2_CM_PCA.ipynb		homework2_2_CM_PCA.ipynb
homework3_1_CM_gradient_descent.ipynb		homework3_1_CM_gradient_descent.ipynb
homework3_2_CM_stochastic_gradient_descent.ipynb		homework3_2_CM_stochastic_gradient_descent.ipynb
homework4_CM_MLE_MAP.ipynb		homework4_CM_MLE_MAP.ipynb