Moshe Sipper
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Advanced Seminar in Intelligent Systems
סמינר מתקדם במערכות נבונות​

202-2-1551 ​Fall 2021-22 סמסטר א
Lecturer: Prof. Moshe Sipper
Wednesday 10-12, Classroom: 90/235
Course Description
  • Each student will give a talk on a topic or a paper from the research literature.
  • Attendance is mandatory.
  • ​Presentation length: 45-50 minutes. Up to 2 talks each week.
  • You may (but are not required to) email me your presentation a few days before your talk (but not the night before!).
  • Each student must submit a 1-paragraph summary for each of the 2 weekly talks.
  • Any topic in the general area of autonomous systems is usually OK by me: machine learning, artificial neural networks, deep learning, evolutionary algorithms, artificial intelligence...
Some papers (just to get an idea — choosing your own paper is preferred)
  • AutoML-Zero: Evolving Machine Learning Algorithms From Scratch
  • A Few Useful Things to Know About Machine Learning
  • Classification: Basic Concepts, Decision Trees, and Model Evaluation
  • Decision trees: an overview and their use in medicine
  • Data clustering: 50 years beyond K-means
  • ​Random Forests​
  • Modern Evolution Strategies for Creativity: Fitting Concrete Images and Abstract Concepts

Literature, vids, datasets, and other resources
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