Open Data Science Courses

Building Real-Time ML Pipelines the Easy Way

Learn to build real-time ML pipelines for fraud prediction, predictive maintenance, and customer churn prevention. Explore challenges, solutions, and best practices for handling high-velocity data and triggering actions in seconds.

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

Medical Imaging with Azure Machine Learning

Explore Azure Machine Learning for medical imaging applications, covering data management, model development, deployment, and explainability in healthcare scenarios.

• YouTube
• 1 hour 19 minutes
• Self-Paced
• Free Video

Overcoming Imposter Syndrome in STEM

Explore strategies to overcome imposter syndrome in STEM fields with expert panelists, focusing on building confidence and combating self-doubt in your professional journey.

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

Relationships Matter - Using Connected Data for Better Machine Learning

Explore graph-native ML for enhanced predictions using relationship data. Learn graph feature engineering, ML techniques, and hands-on applications to leverage network structures in your data science models.

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

Evolution of Efficient and Robust AutoML Systems

Explore the evolution of efficient AutoML systems, focusing on Auto-sklearn 2.0 and Auto-PyTorch. Learn about multi-fidelity optimization, portfolio construction, and automated policy selection for improved machine learning efficiency.

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

Git-Based CI-CD for ML

Learn to implement Git-based MLOps for continuous delivery, automating workflows, and enabling collaboration. Explore open-source tools and hosted ML platforms with a live demo on streamlining ML pipelines.

• YouTube
• 1 hour 4 minutes
• Self-Paced
• Free Video

Interpretable Machine Learning to Model Drug Perturbations in Single Cell Genomics

Explore interpretable machine learning for modeling drug effects on single-cell genomics. Learn about deep autoencoders, manifold identification, and predicting novel perturbations in cellular states.

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

Building an Ethical Data Science Practice

Explore building an ethical data science practice, focusing on transparency, fairness, and explainability. Learn strategies to operationalize ethical AI and foster proactive risk management in your organization.

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

A Spurious Outlier Detection System for High Frequency Time Series Data

Discover an integrated approach for detecting spurious outliers in high-frequency time series data from IoT sensors, applicable across various domains like manufacturing, retail, and healthcare.

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

Learning to Optimize High Dimensional Optimization Problems

Explore deep neural networks and reinforcement learning for solving high-dimensional optimization problems, improving performance in job scheduling, neural architecture search, and black-box optimization.

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

Responsible AI Dashboard - A Tool for Operationalizing Responsible AI

Explore Microsoft's Responsible AI Dashboard, an open-source framework integrating tools for error analysis, interpretability, fairness, and causal decision-making to build reliable and responsible AI products.

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

Fairness in Medical Algorithms - Threats and Opportunities

Explore fairness in medical AI algorithms, addressing biases, challenges, and opportunities for equitable healthcare. Learn practical approaches and open questions in developing fair medical AI systems.

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

Production Machine Learning Monitoring- Principles, Patterns and Techniques

Practical deep dive on production monitoring of machine learning models, covering standard techniques and advanced paradigms like concept drift, outlier detection, and explainability, with hands-on examples and architectural patterns.

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

Information Flow and Deep Representation Learning

Explore information bottleneck analysis in deep learning, gaining insights into representation learning, nuisance insensitivity, and disentanglement for advanced understanding of neural networks.

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

Building Multi-Cloud Success for Cross-Database Usage

Explore strategies for successful multi-cloud implementation, focusing on critical software layers between clouds, security challenges, and optimizing data management across heterogeneous environments.

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