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Bandits and Online Learning | UT Austin ECE 381V Course

UT Austin

Comprehensive course on multi-armed bandits and online learning, taught by expert Sanjay Shakkottai. Gain hands-on experience with implementing and analyzing cutting-edge algorithms.

University CoursesMachine Learning

Introduction

This course covers the fundamentals of multi-armed bandits and online learning, which are important topics in the field of machine learning and optimization. It provides an in-depth exploration of various bandit algorithms and their applications.

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Highlights

  • Comprehensive coverage of multi-armed bandit problems and algorithms
  • Exploration of the theoretical foundations and practical applications of online learning
  • Hands-on experience with implementing and analyzing bandit algorithms
  • Taught by an expert in the field, Sanjay Shakkottai

Recommendation

This course is highly recommended for students and professionals interested in machine learning, optimization, and decision-making under uncertainty. It provides a solid understanding of the concepts and techniques in bandits and online learning, which are crucial for developing effective and efficient algorithms in a wide range of applications.

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