Machine Learning Courses and Certifications

ICTP Condensed Matter and Statistical Physics

Machine Learning for Quantum Applications - Lecture 3

Explore advanced machine learning techniques for quantum systems, focusing on applications in condensed matter and statistical physics.

• YouTube
• 1 hour 11 minutes
• Self-Paced
• Free Video

ICTP Condensed Matter and Statistical Physics

Machine Learning for Quantum Applications - Part 1

Explore machine learning applications in quantum physics, focusing on cutting-edge techniques and their impact on quantum systems research.

• YouTube
• 39 minutes
• Self-Paced
• Free Video

ICTP-SAIFR

Machine Learning for Quantum Matter - Lecture 1

Explore machine learning applications in quantum matter, covering classical algorithms, high-dimensional data, supervised learning, neural networks, and practical examples in physics.

• YouTube
• 1 hour 18 minutes
• Self-Paced
• Free Video

Institut Henri Poincaré

Machine Learning for Gravitational Wave Astronomy

Explore machine learning applications in gravitational wave astronomy, focusing on advanced detection and analysis techniques for cosmic phenomena.

• YouTube
• 1 hour 11 minutes
• Self-Paced
• Free Video

Institut des Hautes Etudes Scientifiques (IHES)

Photographic Image Priors in the Era of Machine Learning

Explore image processing advancements using machine learning, focusing on implicit priors in neural networks for tasks like denoising, deblurring, and super-resolution.

• YouTube
• 42 minutes
• Self-Paced
• Free Video

Institut des Hautes Etudes Scientifiques (IHES)

Leveraging Knowledge to Design Machine Learning Despite Limited Data

Explorez les méthodes d'apprentissage automatique pour les petits ensembles de données industrielles, en utilisant le transfert de connaissances et les modèles hybrides pour des outils d'aide à la décision efficaces.

• YouTube
• 1 hour 1 minute
• Self-Paced
• Free Video

IPhT-TV

Machine Learning Calabi-Yau Metrics - Landscapia

Explore machine learning techniques for Calabi-Yau metrics in string theory, focusing on applications in the Landscapia project and their implications for theoretical physics.

• YouTube
• 34 minutes
• Self-Paced
• Free Video

IPhT-TV

Machine Learning for the String Theory Landscape

Explore machine learning applications in string theory landscapes using Landscapia, a powerful tool for analyzing high-dimensional data in theoretical physics.

• YouTube
• 1 hour 1 minute
• Self-Paced
• Free Video

IPhT-TV

Mathematical Problems in Machine Learning - Lecture 4/4

Explore advanced mathematical concepts in machine learning, focusing on complex problem-solving techniques and theoretical foundations.

• YouTube
• 2 hours 6 minutes
• Self-Paced
• Free Video

IPhT-TV

Mathematical Problems in Machine Learning - Lecture 3/4

Explore mathematical challenges in machine learning with Andrea Montanari, delving into advanced concepts and problem-solving techniques.

• YouTube
• 2 hours 12 minutes
• Self-Paced
• Free Video

IPhT-TV

Mathematical Problems in Machine Learning - Lecture 2/4

Explore mathematical challenges in machine learning, focusing on advanced concepts and problem-solving techniques in this comprehensive lecture series.

• YouTube
• 2 hours 17 minutes
• Self-Paced
• Free Video

IPhT-TV

Mathematical Problems in Machine Learning - Part 2 of 4

Explore mathematical foundations of machine learning with Andrea Montanari, focusing on key problems and theoretical concepts in the field.

• YouTube
• 54 minutes
• Self-Paced
• Free Video

QCHEM LAB at KNU

Learning about Machine Learning

Explore machine learning fundamentals with expert Roger D. Amos in this concise 25-minute lecture from QCHEM LAB at KNU.

• YouTube
• 25 minutes
• Self-Paced
• Free Video

Institut des Hautes Etudes Scientifiques (IHES)

Weak Signals: Machine Learning Meets Extreme Value Theory

Explore machine learning's intersection with extreme value theory, focusing on angular measure recovery and its applications in classification and anomaly detection.

• YouTube
• 55 minutes
• Self-Paced
• Free Video

Google TechTalks

Mapping from Training Data to Predictions with Datamodels - Differential Privacy in Machine Learning

Explore datamodels in machine learning, from training data to predictions. Learn about model brittleness, data counterfactuals, and applications in ML pipelines.

• YouTube
• 59 minutes
• Self-Paced
• Free Video