10. Automated Machine Learning (AutoML)

This video is Part 10 of the series "Machine Learning Essentials for Biomedical Data Science" covering the key essentials for using machine learning as part of a data science analysis pipeline. While topics are primarily framed around applications in biomedicine, this content is broadly applicable to other domains.

The material presented was assembled based on my 15 years experience as a machine learning researcher and educator. I'm currently an Assistant Professor (Pending) of Computational Biomedicine at the Cedars Sinai Medical Center. Some of the slide content is original, with much adapted from a wide variety of textbooks, slides, and lectures by various authors and speakers. This video series expands upon a full-day workshop prepared for and presented at the Cedars Sinai Medical Center in Los Angeles. This video represents my own understanding and perspectives.

Weblinks:
http://ryanurbanowicz.com/
https://github.com/UrbsLab
https://github.com/UrbsLab/STREAMLINE

Chapters:
0:00 Introduction
0:49 Why AutoML?
2:27 Automated Machine Learning
3:41 TPOT
4:52 PennAI/Aliro
6:06 Other Popular AutoML Tools
6:31 Limitations and Risks of AutoML
8:34 Introduction to STREAMLINE
13:45 STREAMLINE Uses
15:44 Walk Through of STREAMLINE Schematic
28:06 Installation and Run Modes
29:59 STREAMLINE Output
31:08 Demonstration Dataset
32:07 Example STREAMLINE Visualizations
36:36 Applying STREAMLINE in Simulation Studies
39:56 Conclusion