Arthur Mello

Jan 21, 2025 | medium.com | Arthur Mello

Arthur Mello·FollowPublished inThe Startup·2 min read·--Do you want to impress colleagues, dazzle recruiters, or dominate a panel discussion without actually knowing anything about AI? Good news! In just five minutes, you too can sound like an AI expert. Forget years of research, hands-on coding, or grueling math — this guide will teach you everything you need to fake it until you make it in the world of AI. Say “garbage in, garbage out.” It means nothing, but it sounds cool.

Nov 12, 2024 | www1.folha.uol.com.br | Flávia Pellegrino |Arthur Mello

Os ventos de uma democracia forte sopram com direção e sentidos bem definidos: o respeito ao processo eleitoral e a responsabilização daqueles que tentaram abolir o Estado democrático de Direito. Recentemente, a Folha de S.Paulo tem servido de palco a um processo que vem acontecendo há algum tempo de normalização de lideranças autoritárias e de esquecimento das conspirações antidemocráticas e golpistas que vivemos nos últimos anos.

Nov 5, 2024 | levelup.gitconnected.com | Arthur Mello

How innovation drives economic growthWith all the buzz surrounding AI and its impact on jobs, understanding the forces that shape our economy is more important than ever. Elected “Best Book of the Year” by The Economist, The Power of Creative Destruction revisits the Schumpeterian framework, putting innovation at the heart of economic growth and exploring how it disrupts and transforms industries. Traditional economic models, like the Solow model, view growth as a result of capital accumulation.

Oct 27, 2024 | levelup.gitconnected.com | Arthur Mello

And what you can do about itI see many people having a hard time transitioning from other fields into Data Science, even though there’s more open jobs every day. Many companies end up going for people who already have domain experience or who are fresh out of college, with a degree in Statistics or Computer Science. Although it can be hard to make this transition, I did it, and I think you can do it too, as long as you have the right strategy.

Aug 9, 2024 | levelup.gitconnected.com | Arthur Mello

Causal inference for time-varying treatmentsMarginal Structural Models (MSMs) are particularly useful in the analysis of longitudinal data with time-varying treatments. They are designed to address situations where the effects of treatments or interventions change over time, and standard regression models fail to account for these dynamic effects due to their inability to handle time-dependent confounding.