Summer Hangouts: Sergey Molodtsov, Sunghye Cho, and Erçağ Pinçe
Python data analysis and visualization; Introduction to Automatic Speech Recognition; Image processing and Computer Vision with Deep Learning Tools
Sergey Molodtsov, Sunghye Cho, Erçağ Pinçe
RDDSX space outside the Collaborative Classroom
Van Pelt-Dietrich Library
| Time | Instructor | Title | Description |
|---|---|---|---|
| 11:00 – 12:00 | Sergey Molodtsov | Python data analysis and visualization
| This tutorial will provide basic concepts of data processing and visualization. We will use multidimensional climate and geoscience datasets to demonstrate the simple statistical analysis and the plotting capabilities of Python. We will also cover the different libraries available in Python to work with large multidimensional arrays. |
| 12:00 – 12:30 | Lunch | ||
| 12:30 – 1:30 | Sunghye Cho | Introduction to Automatic Speech Recognition slides and notebook | Have you ever wondered how Siri or Alexa understands what you say? In this tutorial, we will walk through very basics of Automatic Speech Recognition (ASR). At the end of the tutorial, we will learn how to run one of the state-of-the-art models, Whisper, on audio files and how to evaluate the model’s performance, using Python. |
| 1:30 – 2:30 | Erçağ Pinçe | Image processing and Computer Vision with Deep Learning Tools
| In this tutorial, we will delve into how neural networks and machine learning frameworks can be harnessed to process and track images of microscopic objects. Our journey will commence with an exploration of DeepTrack 2.0, an extensive open-source deep-learning framework tailored for digital microscopy within the Python environment. The tutorial will then branch into the realm of 3D tracking, where we’ll explore the complexities of monitoring moving microscopic elements in a three-dimensional space and several caveats that come with this. Then, we’ll venture into label-free tracking, a particularly intricate tracking task. Finally, we’ll examine how this novel microscopy approach can unlock new insights into bacterial microecology, motility research, and the domain of active matter more generally |