7+ hour, 31+ min ago  (1253+ words) Learn about function approximation and the different choices for approximation functions Welcome back to this post series about Reinforcement Learning (RL), following Sutton and Barto's famous book "Reinforcement Learning" [1]. To make it specific, in Part I we assumed the state…...

3+ week, 5+ day ago  (1350+ words) Spoiler, it will take longer than 3 months An AI engineer is the new "hot" role in the tech scene, and many people are desperate to land this job. I see so many posts online saying how you can become an…...

1+ mon, 1+ day ago  (1638+ words) Your most accurate model might be your most dangerous one. A health-tech company shipped a readmission-prediction model in early 2024. This is a composite case drawn from patterns documented by'Hern'n & Robins in'Nature Machine Intelligence, but every detail maps to real deployment…...

1+ mon, 2+ week ago  (939+ words) A five-step framework for building rigorous, reproducible AI search benchmarks " before you make six-figure infrastructure decisions I've worked in AI evaluations for nearly a decade, and I'm often asked, "How do we know if our current AI setup is optimized?...

2+ mon, 4+ week ago  (1119+ words) Publish AI, ML & data-science insights to a global community of data professionals. An accessible introduction to causal inference and ML When we start a causal study, the questions we ask are far more specific than loss minimization or prediction accuracy....

3+ mon, 2+ week ago  (713+ words) Publish AI, ML & data-science insights to a global community of data professionals. Finding the most informative points in images Feature detection is a domain of computer vision that focuses on using tools to detect regions of interest in images. A…...