This workshop will first cover the theory and proper applications of various neural networks (multilayer perceptrons, convolutional neural networks, long-short term memory models, autoencoders, etc.). Powerful deep learning packages, such as Pytorch and Keras, will be introduced. Proper coding techniques will be shown through examples and practiced through exercises that will be completed in the [....]
We live in times of evidence-based medicine, where we use the best evidence available to make decisions about patient care and healthcare interventions at population level. But what is the best evidence available? LEARNING OBJECTIVES In this hands-on two-day online workshop, we will take participants through all the steps of conducting a systematic review and [....]
In this introductory workshop for beginners, participants will learn how to create, read, transform, and visualize data for scientific analysis. Learners will also gain skills in applying basic computer logic to scientific applications. There are no prerequisites for this course beyond college-level algebra and statistics; however, participants should be comfortable with basic computer functions. This [....]
This workshop builds upon the principles of using R for data science by introducing intermediate concepts that will help learners advance their knowledge and use R for more complex tasks. These tasks include working with APIs and packages to access data on remote servers, iterating tasks over datasets, and writing custom functions.
