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> Machine learning focuses on prediction, based on known properties learned from the training data.
- In addition to retail, in finance banks analyze their past data to build models to use in credit ap…
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**Oh my, it's OA! And Swung authors too :) This one should be easy.**
Learned multiphysics inversion with differentiable programming and machine learning
Mathias Louboutin, Ziyi Yin, Rafael Oroz…
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**Fundamentals**
1. Introduction to ML
- What is ML
- Types of ML systems
- ML in R
2. Before the modeling process
- Problem framing
- Planning & scoping
- Experimentation
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# Description
This activity closely related to #13 and may be considered together depending on the number of participants. Current QML algorithms may take significant time to run and they definitel…
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# Goal
As a machine learning developer, I want to embed automated methods for machine learning, so that I can run systematic processes on raw data and select relevant models for processing data.
As a…
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**Abstract**
This talk covers ensemble learning, a paradigm of machine learning. Ensemble learning consists of combining multiple learning models for predictions, and is a popular method for predic…
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We want to include material on cloud computing for researchers, this is a meta issue to sketch out some courses within this. Some suggestions are (feel free to edit)
- Intro to cloud computing (nee…
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### Ticket Contents
## Description
Overview:
This feature aims to enhance the existing Reap Benefit Solve Ninja Mentor WhatsApp chatbot on Glific by integrating a Virtual Mentorship system. The g…
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>Parameterizing the approximate posterior of a generative model with neural networks has become a common theme in recent machine learning research. While providing appealing flexibility, this approach…
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### The bug
We need to have a way to display people that appear exclusively in archived photos. Not being able to see "archived" people leads to the following issues:
- When correcting facial recogn…