From “Introduction to linux for data scientists/machine learning people/analysts” lecture series: https://t.co/4Nv3uISY8m
— hardmaru (@hardmaru) April 17, 2019
From “Introduction to linux for data scientists/machine learning people/analysts” lecture series: https://t.co/4Nv3uISY8m
— hardmaru (@hardmaru) April 17, 2019
Help! A leader in my organization did something I hate.
— Brandon Rohrer (@_brohrer_) April 16, 2019
What do I do?https://t.co/5VvfrEaGeA pic.twitter.com/M0ldGkmBGP
If you’re publishing a scatter plot, consider dividing it into quadrants using the medians https://t.co/3neJQse1VT
— Maarten Lambrechts (@maartenzam) April 9, 2019
Getting your Matplotlib plot framed, laid out, and axis-ed up just right can be a giant pain in the butt. Here are all my best tricks.https://t.co/HKuqQNsufl
— Brandon Rohrer (@_brohrer_) April 8, 2019
Framing plots in @matplotlib is the latest addition to @E2eMl Building Blocks. pic.twitter.com/NKmMuNSYky
1. It’s a hard field to master, but you don’t need any special innate abilities to succeed
— Angela Bassa (@AngeBassa) April 5, 2019
2. You don’t need a grad degree, but it’s undeniable one can help you grok the hows/whys of stuff
3. Get dedicated advice longer than fits in 280 chars at https://t.co/TxtrShI0Nx
I just updated my GPU recommendation blog post! I included the RTX Titan and GTX 1660 Ti in my analysis. The analysis now separates word RNNs from char RNNs/Transformers. I also recommend TPUs for larger transformers/CNNs. This and more in the update: https://t.co/jdQs8FuSCo
— Tim Dettmers (@Tim_Dettmers) April 3, 2019
Combine columns of #pandas #dataframe using groupby and a dictionary mapping
— Daily Python Tip (@python_tip) March 25, 2019
>>> df.groupby(mapping, axis=1).sum() pic.twitter.com/kvfdKAvBo8
TIL you can embed a "code download" button in an HTML #rmarkdown doc so that users can click to download your source .Rmd from the rendered HTML version...without GitHub 🤩 #rstats
— Alison Hill (@apreshill) March 22, 2019
YAML:
---
output:
html_document:
code_download: true
---
Test: https://t.co/bp7w7XKF8b pic.twitter.com/uMQK0mvYcF
Checklist for debugging neural networks --
— Sebastian Raschka (@rasbt) March 20, 2019
Tangible steps you can take to identify and fix issues with training, generalization, and optimization for machine learning models https://t.co/fo1GfxGInW
Wait what?!?
— Jeremy Howard (@jeremyphoward) March 13, 2019
Python Quirks: Implicit Return https://t.co/XMcNHdk77J
— PyCoder’s Weekly (@pycoders) March 10, 2019
As an analytics team, you need to be wary of just ending up doing reactive work, answering quick, tactical “what” questions. Ask “what decision are you trying to make?” and learn to say no if won’t make a difference. Take time to do proactive work.
— Emily Robinson (@robinson_es) March 1, 2019
- @geraldvdb pic.twitter.com/LBoFAHWgn1