Semi-supervised Learning Courses and Certifications

Machine Learning with Small Data Part 1

Discover modern deep learning techniques for training effective models with limited datasets, addressing challenges in healthcare, military, and industry applications.

• Coursera
• 14 hours 21 minutes
• Self-Paced
• Paid Course

Data-Efficient AI for Accelerating MRI Acquisition

Explore physics-guided AI techniques for accelerating MRI acquisition, including unsupervised and semi-supervised approaches. Learn about a new 1.5TB dataset for evaluating MRI reconstructions with clinically-relevant metrics.

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

Towards Robust Medical Image Analysis

Explore robust medical image analysis techniques for handling data from different centers, including domain generalization, diffusion models for synthesis, and semi-supervised learning with large models.

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

Aleksa Gordić - The AI Epiphany

Graph Convolutional Networks - GNN Paper Explained

Comprehensive exploration of Graph Convolutional Networks, covering theory, implementation, and applications. Delves into spectral methods, Weisfeiler-Lehman perspective, and GNN depth, offering insights for both beginners and experts.

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

CapsuleVOS: Semi-Supervised Video Object Segmentation Using Capsule Routing

Learn semi-supervised video object segmentation using capsule routing, exploring capsule networks, video capsules, and advanced techniques for improved accuracy and efficiency in computer vision tasks.

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

Simons Institute

Provably Robust Deep Learning via Adversarially Trained Smoothed Classifiers

Explore adversarially trained smoothed classifiers for robust deep learning, covering theory, implementation, and experimental results in this technical talk.

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

Edan Meyer

This AI Learns from YouTube

Explore OpenAI's innovative approach to training AI agents using YouTube videos, focusing on Minecraft gameplay and combining imitation learning with reinforcement learning techniques.

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

Institute for Pure & Applied Mathematics (IPAM)

Causality Matters in Medical Imaging

Explore causal reasoning in medical imaging, addressing data scarcity and mismatch challenges. Gain insights on predictive models, semi-supervision limitations, and strategies for successful machine learning implementation.

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

Alfredo Canziani

Low Resource Machine Translation

Explore machine translation techniques for low-resource languages, covering evaluation methods, supervised and unsupervised learning approaches, and domain adaptation. Gain insights into Nepali-English translation case study.

• YouTube
• 1 hour 58 minutes
• Self-Paced
• Free Video

Alan Turing Institute

Geometric Graph-Based Methods for High Dimensional Data

Explore geometric graph-based methods for segmenting large datasets, combining nonlinear PDE image segmentation with linear algebra techniques to solve graph cut optimization problems in various applications.

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

Paul G. Allen School

Data-Driven Understanding of Human Disease: From Machine Learning Methods to Biological Discoveries

Data-driven disease understanding: machine learning methods for genomic analysis, integrating model organism data with human studies to uncover disease mechanisms and genetic architecture.

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

Yannic Kilcher

NeurIPS 2023 Research Highlights - Circuits, Collaborative Filtering, Clustering, and Privacy

Overview of NeurIPS 2023 poster presentations covering graph neural networks, collaborative filtering, semi-supervised learning, and privacy assessment in image reconstruction, with insights on cutting-edge machine learning research.

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

MLCon | Machine Learning Conference

From Paper to Product - How We Implemented BERT

Explore the journey of implementing BERT in a natural language generation product, from initial research to production deployment. Learn about challenges, successes, and valuable lessons for NLP practitioners.

• YouTube
• 49 minutes
• Self-Paced
• Conference Talk

Discover AI

Node Classification with Graph Convolutional Networks for Graph Machine Learning

Master Graph Convolutional Networks (GCN) implementation in PyG for node classification, featuring practical coding examples and theoretical foundations of spectral graph convolutions.

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

Spatio-Temporal Learning from Limited Labels for Video Action Detection

Explore spatio-temporal learning techniques for video action detection with limited labels, focusing on semi-supervised methods and temporal coherence for improved performance.

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