A good resource on questions, processes and preparation for Machine Learning Interviews by Khang Pham.
Web page: https://t.co/pl9lyxG3uO
GitHub: https://t.co/eKQVY8nCH5
#ml#interview
As promised, a thread of amazing folks working in Open Source. Like most people in FOSS they probably don't get the recognition they deserve.
If you like #Python and programming, I suggest you following everyone in this tread.
Doubles as #FF
Please RT for visibility.
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I just finished the 3-days "Developing Expertise in Python" provided by @dutc_training .
TL;DR: The return on investment is way beyond what you imagine. Anyone can teach you what it is, but @dontusethiscode and @RiddleMeCam will teach you why and when it matters.
1/8
Really stoked to be part of the 3-day course on Python, Numpy and Pandas by @dontusethiscode! The depth of coverage of Python advanced concepts and mental models around their use is incredibly valuable, for folks in software engineering, data science and machine learning.
Taking a 3-day Python&pandas course by @dontusethiscode. Loving the focus on the design/mental models for the "restricted domain" tools like NumPy and pandas. Looking forward to learning more about async/await tomorrow!
Yet another great interview passage, this time from @Lethain on:
The Core Challenge of Engineering Leadership Roles & The Three Most Common Leadership Pitfalls of Staff+ and Director+ People.
<Link at the end>
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