SEC595 provides students with a crash-course introduction to practical data science, statistics, probability, and machine learning. The course is structured as a series of short discussions with extensive hands-on labs that help students to develop useful intuitive understandings of how these concepts relate and can be used to solve real-world problems. If you’ve never done anything with data science or machine learning but want to use these techniques, this is definitely the course for you! 30 Hands-on Labs
Syllabus
- Data Acquisition, Cleaning, and Manipulation
- Data Exploration and Statistics
- Essentials of Machine Learning: Trees, Forests, & K-Means
- Essentials of Machine Learning: Deep Learning
- Essentials of Machine Learning: Autoencoders
- Essentials of Machine Learning: Functional Models and Deployment
