Understanding AI through Algorithmic Information Theory

• Algorithmic Information Theory: Acquire the ability to quantify information through compression and contrast it with classical information theory.

• Language Detection and Meaning: Investigate novel algorithms that employ semantic similarity to detect languages and quantify their similarity.

• Probabilistic and Algorithmic Foundations: Investigate the relationship between algorithmic complexity, randomness, and probability.

• AI Limitations and Optimization: Investigate techniques for optimal hypothesis formation and anomaly detection, as defined by G�del's theorem, and comprehend the inherent limitations of AI.

Level: Advanced

Certification Degree: Yes

Languages the Course is Available: 1

Offered by: On edX provided by IMTx

Duration: 4�8 hours per week approx 5 weeks

Schedule: Flexible