jinonoel's comments

jinonoel | 8 years ago | on: How Duterte Turned Facebook into a Weapon, with Help from Facebook

Because back then we didn't have a president that encouraged cops to just kill: http://www.philstar.com/headlines/2016/07/02/1598740/duterte...

Or congratulated cops after they killed 58 people during drug raids in a single week: https://www.npr.org/sections/thetwo-way/2017/08/17/544128734....

Those drug raids lead to the CCTV footage of cops executing an unarmed 16-year old kid who was already in handcuffs, btw.

Or has repeatedly vowed to pardon and ask for the reinstatement of the cops that have been charged with the murder of a drug lord inside his jail cell in the middle of the night: http://news.abs-cbn.com/news/03/31/17/duterte-vows-anew-to-p....

Those cops are now free on bail

jinonoel | 8 years ago | on: How Duterte Turned Facebook into a Weapon, with Help from Facebook

Bullshit. Fake news is different from bias. CNN is biased. Fox News is biased. Rappler is biased. What they don't do is pass of fake information or rumors as news, like saying "since 2016 a certain Liberal Party Senator and Maria Ressa wants total control of social media and internet." You're entitled to your own opinion, but you're not entitled to your own facts.

jinonoel | 8 years ago | on: How Duterte Turned Facebook into a Weapon, with Help from Facebook

I'm from the Philippines. Am I allowed to comment? There absolutely are police death squads roaming around, so much that Philippine National Police's involvement in the drug war had to be removed after there was too much outrage from the populace. They were even caught executing unarmed kids on CCTV for fuck's sake. Just because you're biased towards our fucktard President and can't accept the truth doesn't mean others are just as blind as you.

jinonoel | 8 years ago | on: The State of Data Science and Machine Learning

Interesting that the most common models being used are the simpler ones, logistic regression and decision trees. This is despite all the hype for the more complicated techniques like neural nets and GBMs. Is it just because these models are faster to train and easier to interpret or something else?
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