Machine Learning Courses and Certifications

Probabilistic Topic Models and User Behavior

Explore latent thematic structures in document collections and user behavior data. Learn how topic modeling algorithms can enhance predictions and understanding of collection organization.

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

Career Certificate

MLOps | Machine Learning Operations

614 ratings at Coursera

Comprehensive MLOps training covering Python, Rust, GitHub Copilot, cloud platforms, and LLMs. Gain skills for data science, ML engineering, cloud architecture, and AI product management.

• Coursera
• 24 weeks, 5 hours/week
• Self-Paced
• Paid Course
• 4 courses

The Information Knot - Tying Sensing and Action; Emergence Theory of Representation Learning

Explore information theory, representation learning, and AI concepts with NYU's Stefano Soatto. Delve into information bottlenecks, mutual information, and disentangling in this advanced seminar on modern AI.

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

MM-SafetyBench: A Benchmark for Safety Evaluation of Multimodal Large Language Models

Explore MM-SafetyBench, a comprehensive benchmark for evaluating safety aspects of multimodal large language models in just 30 minutes from University of Central Florida researchers.

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

Developing Steerable, Generalizable Vision-Language-Action Models

Discover how to develop steerable, generalizable vision-language-action models that integrate visual perception, natural language understanding, and robotic control systems.

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

How Important are Videos for Training Video LLMs?

Explore the significance of video data in training large language models for video understanding and processing applications.

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

Learning to Learn Under Uncertainty

Discover advanced machine learning techniques for handling uncertain data and adaptive learning systems in complex environments.

• YouTube
• 1 hour 3 minutes
• Self-Paced
• Free Video

Towards Efficient Learning Under Label Noise

Explore advanced techniques for machine learning model optimization when dealing with noisy or imperfect data labels, focusing on efficient algorithms and practical implementation strategies.

• YouTube
• 1 hour 13 minutes
• Self-Paced
• Free Video

An Efficient OCSVM for Novelty Detection in the Internet of Things (IoT)

Explore advanced novelty detection techniques for IoT systems using One-Class Support Vector Machines (OCSVM), focusing on efficient implementation strategies and real-world applications.

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

Towards Scalable and Privacy-Preserving Graph Learning via System-aware Algorithm Design

Discover system-aware algorithm design for scalable, privacy-preserving graph learning in this technical presentation by H. Yin from University of Central Florida.

• YouTube
• 1 hour 5 minutes
• Self-Paced
• Free Video

AI and ML Research in Pre-Clinical and Clinical Healthcare Applications

Explore AI and machine learning applications in healthcare research, from pre-clinical studies to clinical implementations with expert insights from Dr. Curtis Lisle.

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

Generalization toward Novel Scenarios - From Algorithms to Applications

Explore machine learning generalization techniques for handling novel scenarios, covering algorithmic approaches and real-world applications in this comprehensive research presentation.

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

Human Activity Recognition - Learning with Less Labels and Privacy Preservation

Learn advanced techniques for human activity recognition with limited labeled data and privacy preservation, including pseudoleveling, contrastive learning, and zero-shot approaches.

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

Improving Transferability of Adversarial Examples with Input Diversity - CAP6412 Spring 2021

Explore techniques to enhance adversarial example transferability using input diversity, including FGSM family methods and ensemble network attacks.

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

Fast Is Better Than Free: Revisiting Adversarial Training - CAP6412 Spring 2021

Explore adversarial training techniques, comparing PGD with newer methods. Learn about technical contributions, experimental results, and implications for machine learning security.

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