Lessons from deploying deep learning to production
https://thegradient.pub/lessons-from-deploying-deep-learning-to-production/ It took only a few weeks to hack together the first version of the model. Then another 6 months to ship a new and improved version of the model. And as we worked more on some of the pieces (better labeling infrastructure, cloud data processing, training infrastructure, deployment monitoring)...
Introduction to machine learning interviews book
https://huyenchip.com/ml-interviews-book/ I’ve also consulted several startups on their machine learning hiring pipelines. Hiring for machine learning roles turned out to be pretty difficult when you don’t already have a strong in-house machine learning team and process to help you evaluate candidates. As the use of machine learning in the industry...
Bandits for recommender systems
https://eugeneyan.com/writing/bandits/ Bandits address this by modeling uncertainty and exploration. By acknowledging the uncertainty in the data and deliberately exploring to reduce it, bandits learn about the relevance of unexplored items. This is especially applicable when the item set changes quickly, such as for news, ads, and tweets, or when the...
A tactical guide to working with EAs: How to make delegation your superpower
https://review.firstround.com/a-tactical-guide-to-working-with-eas-how-to-make-delegation-your-superpower When leveraged correctly, an EA can be one of the most important tools in a startup team’s arsenal — freeing up space to focus on the thorniest challenges facing the business. But there isn’t all that much tactical information out there on how to specifically work with EAs —...
The AI Economist: Taxation policy design via two-level deep multiagent reinforcement learning
https://www.science.org/doi/full/10.1126/sciadv.abk2607 Simulation code and analysis: https://zenodo.org/record/5644182 Artificial intelligence (AI) and reinforcement learning (RL) have improved many areas but are not yet widely adopted in economic policy design, mechanism design, or economics at large. The AI Economist is a two-level, deep RL framework for policy design in which agents and a...
An interview with Claire Highes Johnson
https://review.firstround.com/how-to-chart-your-engineering-career-path-ic-manager-or-technical-founder THE UNDERRATED TRAITS OF THE BEST ENGINEERS The best engineers I’ve worked with aren’t necessarily the ones who write the most complex architecture, they’re the ones who can think through a problem really deeply and are endlessly curious. They’re crisp writers and communicators. Concise. “People often think being a...
An interview with Claire Highes Johnson
https://growth.eladgil.com/book/the-role-of-the-ceo/decision-making-and-managing-executives-an-interview-with-claire-hughes-johnson/ High Growth Handbook: https://growth.eladgil.com/book/introduction/elad-gil/ Urs Holzle, who was an early SVP at Google, literally wrote, “A Guide To Urs” about the interaction approaches that work best for him. So if you needed to interact with him or you wanted things from him, you knew what to do. And apparently...
Hiring data scientists with intention
https://scientistemily.substack.com/p/inclusive-data-science-hiring In this post, we want to contribute to the evolving discussion by highlighting three areas that are worth putting some intentional focus towards to hire Data Scientists more inclusively: Writing a focused job description that matches your team’s needs Being strategic in sourcing to go beyond your network Designing...
Virtual communication curbs creative idea generation
https://www.nature.com/articles/s41586-022-04643-y COVID-19 accelerated a decade-long shift to remote work by normalizing working from home on a large scale. Indeed, 75% of US employees in a 2021 survey reported a personal preference for working remotely at least one day per week1, and studies estimate that 20% of US workdays will take...
Automated evaluation of psychotherapy skills using speech and language technologies
https://link.springer.com/article/10.3758/s13428-021-01623-4 With the growing prevalence of psychological interventions, it is vital to have measures which rate the effectiveness of psychological care to assist in training, supervision, and quality assurance of services. Traditionally, quality assessment is addressed by human raters who evaluate recorded sessions along specific dimensions, often codified through constructs...
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a collection of excerpts from interesting research, blogs, events, etc...