Hands-on Machine Learning with Python
Hands-on Machine Learning with Python
We invite you to a three-day hands-on machine learning workshop organized by the IEEE student branch at INRS-EMT and IEEE Montreal section. We virtually host Dr. Pedram Abdolghader, a research and development scientist at Few-Cycle Inc., to interactively learn about machine learning with Python. Basic knowledge of programming and familiarity with Python language is required.
Date and Time
Location
Hosts
Registration
- Start time: 14 Sep 2022 05:00 PM
- End time: 16 Sep 2022 07:00 PM
- All times are (UTC-03:00) Atlantic Time (Canada)
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- Starts 24 July 2022 08:00 AM
- Ends 14 September 2022 08:00 AM
- All times are (UTC-03:00) Atlantic Time (Canada)
- No Admission Charge
Speakers
Dr. Pedram Abdolghader
Biography:
Dr. Pedram Abdolghader finished his Ph.D. in atomic molecular and optical physics at the University of Ottawa in 2021. His research was on Coherent Nonlinear Raman microscopy and the applications of deep learning methods to extract quantitative information. During his studies, he was a visiting graduate research assistant at Molecular Photonics Group and Computational Laboratory for Energy and Nanoscience at the National Research Council of Canada. He is currently a research and development scientist at Few-Cycle Inc.
Agenda
1st Day
Date: Sep 14, 2022
17:00-19:00 (Montreal time)
Introduction to Machine Learning
linear regression
cost function
gradient descent optimization
generalization
overfitting/underfitting
feature engineering
a practical example of linear regression in Python
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2nd Day
Date: Sep 15, 2022
17:00-19:00 (Montreal time)
K-mean clustering algorithm
Principal Component Analysis
Python practice (implementation of k-mean clustering and PCA in Python)
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3rd Day
Date: Sep 16, 2022
17:00-19:00 (Montreal time)
Introduction to Neural Network
Convolutional Neural Network
Denoising Autoencoder
Using Autoencoder for classification
Application of Convolutional Autoencoder in Raman Microscopy