Charles Isbell

Charles Isbell is a Professor and Senior Associate Dean at the School of Interactive Computing at Georgia Tech. His research passion is artificial intelligence, particularly on building autonomous agents that must live and interact with large numbers of other intelligent agents, some of whom may be human. Lately, he has turned his energies toward adaptive modeling, especially activity discovery (as distinct from activity recognition), scalable coordination, and development environments that support the rapid prototyping of adaptive agents. He is developing adaptive programming languages, and trying to understand what it means to bring machine learning tools to non-expert authors, designers and developers. He sometimes interacts with the physical world through racquetball, weight-lifting and Ultimate Frisbee.
More info: http://www.cc.gatech.edu/~isbell/

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Machine Learning: Unsupervised Learning (Udacity) Udacity
Georgia Institute of Technology,Udacity

Machine Learning: Unsupervised Learning (Udacity)

Robotics & Computer Vision

Dive into the fascinating world of Unsupervised Learning with our expert-led course. Discover how to harness the potential of unlabeled data by identifying patterns and structures that can revolutionize fields from personalization services like Netflix and Amazon to scientific research. This course will equip you with essential skills in randomized optimization, clustering algorithms, and more, enabling you to analyze complex datasets effectively.

Self Paced
Self-Paced
Machine Learning Clustering Information Theory
Details
Machine Learning (Udacity) Udacity
Georgia Institute of Technology,Udacity

Machine Learning (Udacity)

Data Science

Discover the power of Artificial Intelligence with our Machine Learning course. Designed for graduates and professionals, this course covers essential topics like Supervised Learning, Unsupervised Learning, and Reinforcement Learning. Enhance your skills in predictive analytics, pattern recognition, and more.

Self Paced
Self-Paced
Machine Learning Information Theory Game Theory
Details
Reinforcement Learning (Udacity) Udacity
Georgia Institute of Technology,Udacity

Reinforcement Learning (Udacity)

Data Science

Discover the fascinating world of Reinforcement Learning, a key area in machine learning that focuses on enabling systems to make decisions and learn from their experiences. This course will guide you through classic papers and modern research, equipping you with the knowledge to replicate results from published papers and apply these principles to real-world scenarios.

Self Paced
Self-Paced
Machine Learning Game Theory Reinforcement Learning
Details
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