Lynx Roundup, August 3rd 2020

Lynx Roundup, August 3rd 2020

Taking ML to production with Rust! 7 Resources to Becoming a Data Engineer! Experimenting with L2 loss functions at Lyft!

Matthew Alhonte
Matthew Alhonte
Taking ML to production with Rust: a 25x speedup
A personal blog focused on software, Machine Learning and other passing fads.
7 Resources to Becoming a Data Engineer - KDnuggets
An estimated 8,650% growth of the volume of Data to 175 zetabytes from 2010 to 2025 has created an enormous need for Data Engineers to build an organization’s big data platform to be fast, efficient and scalable.
What Grinds My Data Science Gears
There are many libraries in the wild that have different views on how machine learning must be implemented. Also, there are common stages of developing a model, such as feature engineering, training…
Examining the Myth of the “Mom-and-Pop” Landlord
JustFix.nyc’s visualization of property ownership trends in NYC— showing larger landlords more often owning rent-stabilized buildings and evicting tenants.
In what situations should you use SQL instead of Pandas as a data scientist? - Quora
Programming A Space Invader In OCaml and OpenGL: Lessons Learned
After a first experience with ReasonML, I wanted to check if its parent language, OCaml, was also that good. It took me an entire game to form a clear opinion.
Beyond L2 Loss — How we experiment with loss functions at Lyft
Estimating expected time of arrival (ETA) is crucial to what we do at Lyft. Estimates go directly to riders and drivers using our apps, as well as to different teams within Lyft. The Pricing team…
Roundup

Matthew Alhonte

Supervillain in somebody's action hero movie. Experienced a radioactive freak accident at a young age which rendered him part-snake and strangely adept at Python.