ceceshao1

5 ms·

1.
Reproducible and reusable machine learning pipeline(medium.com)
1 points by ceceshao1 7y ago|0 comments
2.
by ceceshao1 7y ago
This sounds perfect - if you can dig up the link, that would be great!
3.
by ceceshao1 7y ago
Could be that his mom had some money saved up or had some pension $ that could be put towards it. Not sure if insurance would help cover housing costs?
4.
by ceceshao1 7y ago
Was a bit surprised to see this piece from VentureBeat (guess that's why they called it OffBeat). My family has been taking care of my grandmother who has Alzheimers and Parkinsons and it's taken a tremendous toll on everyone, esp
5.
Taking care of the elderly in Silicon Valley – a personal story(venturebeat.com)
123 points by ceceshao1 7y ago|55 comments
6.
Properly Setting the Random Seed in ML Experiments(opendatascience.com)
1 points by ceceshao1 7y ago|0 comments
7.
ICLR Reproducibility Challenge Interviews: Four Teams. Four Interviews(medium.com)
1 points by ceceshao1 7y ago|0 comments
8.
Using managed machine learning services as your baseline(hackernoon.com)
3 points by ceceshao1 7y ago|0 comments
9.
Be cautious when using pretrained deep learning models(medium.com)
2 points by ceceshao1 7y ago|0 comments
10.
Implementing GANs trained on MNIST to generate handwritten digits(towardsdatascience.com)
2 points by ceceshao1 7y ago|0 comments
11.
Developer transitioning to data science – best resources(medium.freecodecamp.org)
2 points by ceceshao1 7y ago|1 comments
12.
Machine Learning Medium post does not exist(medium.com)
2 points by ceceshao1 8y ago|0 comments
13.
by ceceshao1 8y ago
I'm truly grateful for podcasts as a medium where I can learn something and not have to stare at a screen anymore
14.
Comet.ml cheat sheet: supercharge your machine learning workflow(medium.com)
3 points by ceceshao1 8y ago|0 comments
15.
Implementing ResNet with MXNET Gluon and Comet.ml for Image Classification(medium.com)
6 points by ceceshao1 8y ago|0 comments
16.
by ceceshao1 8y ago
Really informative + thorough guide to reinforcement learning, specifically its mathematical basis. Written by Luca Palmieri, data scientist at Headstart AI, who comes from a math background. This post is just one of the series
17.
Part 0: Comprehensive Guide to Reinforcement Learning(medium.com)
4 points by ceceshao1 8y ago|1 comments