You are probably doing MLOps at a reasonable scale. Embrace it.
https://thesequence.substack.com/p/-guest-post-you-are-probably-doing Most of the good blog posts, whitepapers, conference talks, and tools are created by people from super-advanced, hyperscale companies. Companies like Google, Uber, and Airbnb, who have hundreds of people working on ML problems that serve trillions of requests a month. That means most of the best practices you...
A scalable empathic-mindset intervention reduces group disparities in school suspensions
https://www.science.org/doi/10.1126/sciadv.abj0691 Suspensions remove students from the learning environment at high rates throughout the United States. Policy and theory highlight social groups that face disproportionately high suspension rates—racial-minoritized students, students with a prior suspension, and students with disabilities. We used an active placebo-controlled, longitudinal field experiment (Nteachers = 66, Nstudents =...
23 tactical company building lessons, leanred from scaling Stripe & Notion
https://review.firstround.com/23-tactical-company-building-lessons-learned-from-scaling-stripe-and-notion #1: Challenge yourself to get more “technical.” If you’re the first business hire at a startup, you can’t be afraid to get into the technical weeds. How can you shield the product and engineering teams from the more painful elements of deal work, or reduce their customer meeting load?...
Building games and apps entirely through natural language using OpenAI’s code-davinci model
https://andrewmayneblog.wordpress.com/2022/03/17/building-games-and-apps-entirely-through-natural-language-using-openais-davinci-code-model/ Lessons learned I found the new code model great at creating mini-applications and understanding how to take instructions and turn them into functions. The more things I tried, the more I learned about how to give this model instructions. Logic first Generally speaking, I’ve found that creating my logic...
How to develop product sense
https://www.lennysnewsletter.com/p/product-sense Product sense is the skill of consistently being able to craft products (or make changes to existing products) that have the intended impact on their users. Product sense relies on (1) empathy to discover meaningful user needs and (2) creativity to come up with solutions that effectively address those...
Are conferences worth the time and money?
https://www.sciencedaily.com/releases/2022/03/220314142037.htm Catalyzing collaborations: Prescribed interactions at conferences determine team formation: https://arxiv.org/abs/2112.08468 Collaboration plays a key role in knowledge production. Here, we show that patterns of interaction during conferences can be used to predict who will subsequently form a new collaboration, even when interaction is prescribed rather than freely chosen. We...
Organizing and scaling an effective data team
https://www.robdearborn.com/2022/03/13/organizing-and-scaling-an-effective-data-team/ At ~1 member: At least as soon as a company has any material volume of users (and thus data), it needs to start building its data team intentionally. It’s natural for a data team’s first member to be a technically-skilled bizops person or analytically-skilled engineer who gets sucked into...
How to use the two-week rule to become remarkably successful
https://www.inc.com/jeff-haden/how-you-can-use-two-week-rule-to-become-remarkably-successful-and-streamline-your-bucket-list.html Two weeks is all it takes to find out what a goal means to you. And what you’re willing to do to achieve it. Navy SEALs call it the 40 percent rule: When you think you’re done – when your mind says you’re exhausted, fried, totally tapped out –...
A guide to data roles
https://www.datacaptains.com/blog/guide-to-data-roles Data Engineers Data Engineers are responsible for architecting and maintaining databases, building pipelines that move the data through different sources and systems, and developing tools used by the company for analytics, dashboarding, and, eventually, ML. Data Analysts This role is responsible for translating data into analyses and business insights....
Solidarity in the small stuff
https://scientistemily.substack.com/p/doc-days The engineering department at Fitbit held an event on the last Friday of every month called “Dev Awesome Day.” Everyone in the org agreed to suspend meetings and avoid any new software development, instead focusing solely on tidying up what had already been written. This included cleaning up tech...
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a collection of excerpts from interesting research, blogs, events, etc...