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This follows a discussion on Slack and @ablaom's suggestion to open an issue to brainstorm ideas.
**The problem**
Consider a machine learning model with p-dimensional features X. Now assume that f…
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**Installation**
https://medium.com/@vivek.yadav/deep-learning-setup-for-ubuntu-16-04-tensorflow-1-2-keras-opencv3-python3-cuda8-and-cudnn5-1-324438dd46f0
**Introduction to Statistics for Data S…
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### [PDF] [EQ-CBM: A Probabilistic Concept Bottleneck with Energy…
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Implementing a basic supervised-regression machine-learning script to use the basic features of stock data to make some predictions.
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The Moleculenet publication has accomplished much in terms of having standardized problems for supervised learning over chemical structures. However over the past couple of years we have seen some ba…
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Below are some places to look at to see what kinds of topics should be covered. Comment below for what you think should be covered in the series of videos. Topics can range from simple to complex.
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This morning in [a Twitter thread](https://twitter.com/arcanjo/status/876772795123982336) a @RosieDaSerenata follower gave us a great idea:
This bot could tweet (as it does today) but also read th…
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Ptython skills:
- python libraries for data science & machine learning (pandas, numpy, scikit-learn)
- data crunching and exploratory data analysis
- supervised learning: classification and regres…
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Hi,
I ran the sample code from the google colab [here](https://colab.research.google.com/github/sattarov/FinDiff/blob/master/main.ipynb) . The samples generated from the diffusion model do not have…