Siconha retweeted
A pattern you see at companies and in people's lives:
- Identify a problem/need
- Develop an inadequate solution
- Never fix it or replace it because that space is now occupied ("we already have a product for that...")
Keep exploring
"There is sometimes a hard line between machine learning research and engineering, but this can be counter-productive for long-term system health." (Sculley, D.; et al. 2015)
As a data scientist and a PhD candidate in statistics, it's good to know 😆 statweb.stanford.edu/~tibs/s…
Siconha retweeted
One way to think of the Markov assumption: The future is independent of the past, given the present.
Nice words.
Opensource is why the field of AI is the fastest growing today.
Here's my experience navigating this world and thoughts about why honesty and transparency are key in opensource.
medium.com/@_willfalcon/open…
Siconha retweeted
Data professionals take note: having conversations is an important part of #analytics and #DataScience. There's much more to this career than just code and numbers, so working on your people skills is key!
bit.ly/quaesita_ytcoltconvo
So beautiful...
Partial differential equations are kind of magical—and notoriously hard to solve. A new deep-learning technique has cracked them. bit.ly/36f8A6a
Keep in mind... “Security and privacy are the aspects of machine learning solutions that are often ignored until they become a problem.”
👌🏼
Unit Test Your Data Pipeline, You Will Thank Yourself Later #KDN ow.ly/Z0Ur30rfMsF
Siconha retweeted
You learn by doing. If you do more, you learn more.
So the speed at which you do things matters. Learning software shortcuts, learning to type fast -- anything that makes you move faster in your target activity -- makes you level up faster.







