Introduction to Machine Learning (ML-001)
Details
https://www.informatik.uni-hamburg.de/ML/ml-wordle.jpg
Objective:
For our first Machine Learning session, we will go through a quick overview of machine learning topics and select our first programming exercise.
Finding Accelerate Cambridge
Accelerate Cambridge is located on Trumpington Street next to the Judge Business School. The room will be on the first floor. Ring Accelerate Cambridge for access.
Schedule:
18:00 - Venue open. Arrival and networking.
18:30 - Introductions and announcements
18:45 - Brief overview of machine learning topics
19:15 - Problem selection
20:15 - First Machine Learning pairing session
21:00 - Retrospective: what did you find interesting, surprising, difficult, etc.
21:30 - Close. Optional further networking/chat, etc.
Recommended Reading
Helpful Materials
• Programming Collective Intelligence (http://shop.oreilly.com/product/9780596529321.do)
• Machine Learning (https://www.cs.cmu.edu/afs/cs.cmu.edu/user/mitchell/ftp/mlbook.html)
• Machine Learning Course on Coursera (https://www.coursera.org/course/ml)
• Machine Learning course by Tom Mitchell (https://www.cs.cmu.edu/~tom/10701_sp11/)
Preparation
None Required