Research Methods Courses

How to Analyze Research Data - Kristin Sainani

Practical guide to analyzing research data using real mental health data in athletes, with tips for improving rigor and reproducibility in research.

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

Stanford CS229 - Machine Learning - Summer 2019 - Kernel Methods & Support Vector Machine

Explore kernel methods and Support Vector Machines in machine learning, focusing on advanced techniques for data classification and pattern recognition in complex datasets.

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

Federated Learning in Medicine - Breaking Down Silos to Advance Medical Research

Explore federated learning's potential to revolutionize medical research by breaking data silos, enhancing privacy, and fostering collaboration across healthcare institutions.

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

Stanford Seminar - Democratizing Research Funding

Explore blockchain's potential to revolutionize scientific research funding through the Einsteinium Foundation's innovative cryptocurrency approach, presented by Chairman Malden Trifunovic.

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

Nasopharyngeal Cancer - Overview, Risk Factors, and Current Research

Comprehensive overview of nasopharyngeal cancer, covering its nature, affected populations, and current research on prevention, diagnosis, and treatment by Stanford oncology expert Dr. Colevas.

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

Lymphedema: Diagnosis, Treatment, and Research Advancements

Comprehensive overview of lymphedema, covering diagnosis, treatment options, and ongoing research. Explores causes, symptoms, and management strategies, offering insights for patients and healthcare professionals.

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

Addressing the Asian Leadership Paradox in Healthcare and Research

Strategies to address the Asian leadership paradox in healthcare, focusing on research inclusion, career advancement, and creating inclusive environments. Insights from Dr. Karen Kim's personal journey and leadership perspective.

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

Stanford Seminar - Audio Research: Transformers for Applications in Audio, Speech and Music

Explore audio research using Transformers, covering applications in music, speech, and acoustic scene understanding. Learn about advanced techniques and architectures for audio synthesis and analysis.

• YouTube
• 48 minutes
• Self-Paced
• Free Online Course

Deep Learning Methods for Electrocardiograms and Echocardiograms

Explore cutting-edge deep learning methods for ECG and echocardiogram analysis, outperforming traditional algorithms and offering insights into cardiovascular imaging interpretation.

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

Multimodal Medical Research of Vision and Language - Jean-Benoit Delbrouck

Explore multimodal medical research combining vision and language, focusing on innovative tasks like Medical Visual Question Answering and Radiology Report Generation using advanced AI architectures and pre-training techniques.

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

Building a Culture of Health Equity Monthly Lecture Series: Health Equity Research in the LGBTQ+ Community (RECORDING)

Explore strategies for promoting health equity in the LGBTQ+ community through expert discussions on anti-racism, structural determinants, and root causes of health disparities.

• Independent
• Self-Paced
• Free Online Course

Race in Science, Technology, & Medicine Series - What Is a Population? Investigating Race, Ethnicity, and Ancestry in Genomics and Clinical Research

Explore the complexities of race, ethnicity, and ancestry in genomics and clinical research. Gain insights into population definitions, diversity measures, and the impact on precision medicine and genetic variant interpretation.

• Independent
• Self-Paced
• Free Online Course

Ensemble Methods in Python

1 rating

Learn how to build advanced and effective machine learning models in Python using ensemble techniques such as bagging, boosting, and stacking.

• DataCamp
• 4 hours
• Self-Paced
• Free Trial Available

Matrix Methods in Data Analysis, Signal Processing, and Machine Learning

4 ratings

This course reviews linear algebra with applications to probability and statistics and optimization–and above all a full explanation of deep learning.

• MIT OpenCourseWare
• 28 hours
• Self-Paced
• Free Video

Google DeepMind’s AI Research Foundations curriculum will deepen your understanding of the AI technologies behind language models.

• DataCamp
• 33 hours
• Self-Paced
• Free Trial Available