Python is a very popular language for computational and data science, and it has many powerful capabilities for visualizing data in the pursuit of understanding and conveying underlying patterns. The second part of this series will explore various ways that Python can be used to make interactive graphics that enhance one’s ability to explore data…
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data visualization
Data Visualization with Python I: Plotting Fundamentals
Python is a very popular language for computational and data science, and it has many powerful capabilities for visualizing data in the pursuit of understanding and conveying underlying patterns. The first part of this series will showcase various ways that Python can be used for creating graphics, following which we’ll dive into some common Python…
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Scientific Visualization with Paraview
Paraview is an open-source cross-platform program for interactive scientific visualization. Paraview can run as a stand-alone visualization tool, as well as in a client-server fashion for remote visualization. In this tutorial, we will explore the visualization pipeline and basic features in Paraview. We will show how to prepare data files from scratch. We will demonstrate…
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Learning Generative Adversarial Networks
Workshop will be conducted in Zoom in PST time. Please Register here in advance for this lecture. This workshope will the introduction to Generative Adversarial Networks (GANs). We will illustrate the fundamental GAN techniques on how to use DCGANs to generate do images using PyTorch. The knowledge of topics covered in the previous sessions is…
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Learning Convolutional Neural Networks (2)
Workshop will be conducted in Zoom in PST time. Please Register here in advance for this lecture. This workshope will be the second lecture on the introduction to convolutional neural network. We will continue our learning on how to apply data augmentation and transfer learning techniques to get a better solution for the classic Dogs-vs-Cats…
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Learning Convolutional Neural Networks (1)
Workshop will be conducted in Zoom in PST time. Please Register here in advance for this lecture. This workshope will be an introduction on convolutional neural network. We will start our learning on how to use PyTorch to do image processing for classic Dogs-vs-Cats problem. The knowledge of topics covered in the previous sessions is…
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Building a patient motion model for Radiotherapy
Speaker: Ricky Savjani, Ph.D. IDRE Scholar, Department of Radiation Oncology, University of California Los Angeles Abstract: Several technological advances in radiotherapy have enabled the use of focused radiation to treat solid tumors within the thoracic cavity. Stereotactic Body Radiation Therapy (SBRT) offers a way to treat patients with high doses of…
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Data Visualization with Julia
The Julia language has a unified interface to its plotting functionalities, supported by multiple backends such as plotly and pyplot (matplotlib). We will cover the fundamentals of Julia’s plotting capability, and show the process of creating data visualization from select examples, including interactive and animated plots. Registration required.
R Graphics: Introduction to ggplot2
Zoom registration required: https://ucla.zoom.us/meeting/register/tJAucO-orzkvHtGtJFXfN76vvx75TY-1QxIG This seminar teaches the “grammar” of graphics that underlies the ggplot2 package, allowing the user to build eye-catching, publication-quality graphics layer-by-layer. We cover the basic elements of the grammar of graphics, including aesthetics, geoms, scales, and themes, and we will show you how easy ggplot2 makes it to integrate these elements…
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Data Visualization with Python II: Making Interactive Plots and Widgets
Python is a very popular language for computational and data science, and it has many powerful capabilities for visualizing data. Data visualization plays an essential role in representing data so that its underlying patterns might be conveyed and understood. The second part of this series will explore various ways that Python can be used to…
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