Computer Science (Fall 2024)

Professor: Santi Seguí

Email: santi.segui@ub.edu

Tutorial times: On demand.

CALENDAR

	Theory	Lab Session
Week 1	Introduction	Your “first” DS problem
Week 2	A typical Machine Learning project	A typical Machine Learning project
Week 3	Regression	Regression
Week 4	Classification	Classification
Week 5	Trainining Models	Trainining Models
Week 6	Support Vector Machines	Support Vector Machines
Week 7	Tree Based Methods	Tree Based Methods
Week 8	Boosting & Bagging - Ensembles	Boosting & Bagging - Ensembles
Week 9	Neural Networks	Neural Networks
Week 10	Convolutional Neural Networks	Neural Networks
Week 11	Unsupervised Learning	Unsupervised Learning
Week 12	Dimensionality Reduction

Projects

Recommended Books

• Hands-on Machine Learning with Scikit-Learn, Keras, and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems. Aurelien Geron