The last month been amazing. I started a new part-time marketing and (donor) development position with a tech-related, local nonprofit.
Apart from leaving me more time to spend with my family and pursuing hobbies, I’m finally able to apply the many skills I’ve learned over the last year of selling on Amazon, doing marketing for friends and family, and just plain geeking out on content creation.
I’m excited to go to into the office once my short work week rolls around. There’s also a lot of creative freedom and autonomy — things I’m starting to view as non-negotiables in my winding path toward reinventing my relationship with work.
Now on to the links. Here are some articles that have really resonated with me recently. Enjoy!
Machines Taught By Photos Learn a Sexist View of Women
“The researchers devised a way to neutralize this amplification phenomenon—effectively forcing learning software to reflect its training data. But it requires a researcher to be looking for bias in the first place, and to specify what he or she wants to correct. And the corrected software still reflects the gender biases baked into the original data.”
Before Hurricane Harvey, wireless carriers lobbied against upgrades to a national emergency alert system
“For years, the Federal Communications Commission has endeavored to upgrade the sort of short text-based messages — often accompanied by a loud alarm — that authorities have used since 2012 to warn Americans about rising floods, abducted children and violent criminals at large. But efforts to bring those alerts into the digital age — requiring, for example, that they include multimedia and foreign-language support — have been met with skepticism or opposition from the likes of AT&T, Sprint, Verizon and T-Mobile, and even some device makers, too.”
How Machines Learn: A Practical Guide
Over 50 resources and tips on understanding machine learning.
Continue reading “9 Awesome Articles from Around the Web || Week 2”