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Jump to navigationJump to search- 10:51, 21 February 2025 Reduction of errors, or the pursuit of correctness (hist | edit) [368 bytes] Bge (talk | contribs) (Created page with "In this talk, we address the impact of rounding errors encountered but often ignored in scientific and high performance computing. We begin with examples in day to day researc...")
- 09:50, 10 February 2025 Colloquium 2025 High-Performance Data Science with Modern C++: Xeus-Cling and G3P (hist | edit) [575 bytes] Syam (talk | contribs) (Created page with "This is a series of talks about using modern C++ for high-performance data science. In the first talk of the series, we talk a little bit about the pros and cons of using C++...")
- 09:37, 27 January 2025 Colloquium 2025 Converting Python code with NumPy to run on the GPU (hist | edit) [816 bytes] Syam (talk | contribs) (Created page with "Python's NumPy library is one of the standard ways for researchers to perform mathematical computations. With the wider availability and power of GPU resources, the need aris...")
- 10:20, 29 November 2024 Colloquium 2024 Unlocking the Power of Comet: Streamlining Machine Learning Experimentation (hist | edit) [471 bytes] Syam (talk | contribs) (Created page with "Comet is an easy-to-use platform for tracking and optimizing machine learning experiments. It integrates with popular frameworks like TensorFlow and PyTorch, allowing users to...")
- 10:49, 28 November 2024 Colloquium 2024 Causal Inference using Probabilistic Variational Causal Effect in Observational Studies (hist | edit) [701 bytes] Syam (talk | contribs) (Created page with "In this presentation, I introduce a novel causal analysis methodology called Probabilistic Variational Causal Effect (PACE) designed to evaluate the impact of both rare and co...")
- 13:11, 25 November 2024 Colloquium 2024 Data Wrangling with Tidyverse (part 3) (hist | edit) [661 bytes] Syam (talk | contribs) (Created page with "Tidyverse is an cohesive set of packages for doing data science in R. In an earlier talk, we began reviewing the data munging portions of tidyvese (dplyr, forcats, tibble, rea...")
