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The Post-Doc positions is in Deep Learning for climate change impacts/mitigation, with a particular emphasis on convolutional neural networks (CNNs) application.
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The Australian Government recognises astronomy as a flagship science and there has been significant financial investment for the Square Kilometre Array (SKA). LOFAR is currently the best low frequency…
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[Goal 2](https://github.com/carpentries/strategic-plan/blob/master/STRATEGIC-PLAN.md#goal-2-intentionally-incorporate-equity-inclusion-and-accessibility-to-support-a-diverse-community) of the Carpentr…
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As a member of the federal and public open innovation community, I want to know about news, events, and updates for Challenge.gov and CitizenScience.gov each month.
Challenge.gov LinkedIn Content Cr…
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Project Lead: @akeshavan
Mentor: @derekhoward
Welcome to OL6, Cohort D! This issue will be used to track your project and progress during the program. Please use this checklist over the ne…
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Notebooks are useful for quick insights, inline-documentation and exploration (because they maintain state between cells), but often poses challenges for productionization.
To productionize noteboo…
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Pose a question about one of the following articles:
“[Human-level control through deep reinforcement learning](https://www.nature.com/articles/nature14236)” 2015. V. Mnih...D. Hassabis. Nature 51…
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I wanted to compile a list of all known requirements, suggestions, deadlines, etc about the ML project from Prof. Gentine here.
## Deliverables: Grade will determined based on two assignments.
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Post your question here about the orienting readings: “[Preface: How to Think with Deep Learning](https://docs.google.com/document/d/1_IiBXAPDNmGHXk2ETmr85eKT9BgjOFqB72D0nRsqnEY/edit?usp=sharing)”, “[…
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**Python Machine Learning: Machine Learning and Deep Learning with Python, scikit-learn, and TensorFlow, 2nd Edition**
**Key Features**
- Second edition of the bestselling book on Machine Learni…