Siconha (@fsiconha) profile picture

Interdisciplinarity, fractals, motorsports, peace... Lead data scientist, Brazil.

Brasil
Joined July 2009
Photo by Siconha (@fsiconha)
Todo código legado costuma “estar bom” até precisar da primeira manutenção.
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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
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"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…
One way to think of the Markov assumption: The future is independent of the past, given the present.
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Data product is like a wine, get better with age.
"The fewer the facts, the stronger the opinion." Arnold H. Glasow
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…
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
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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
👌🏼
How to become expert at thing: 1 iteratively take on concrete projects and accomplish them depth wise, learning “on demand” (ie don’t learn bottom up breadth wise) 2 teach/summarize everything you learn in your own words 3 only compare yourself to younger you, never to others
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“...start A/B testing. The truth lies in real-life responses.”
Keep in mind... “Security and privacy are the aspects of machine learning solutions that are often ignored until they become a problem.”
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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.
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A sentence that excites me: “Machine learning model in production”