6+ hour, 5+ min ago  (1638+ words) A structured methodology for comparing candidate models, testing stability, and selecting a robust final score. All code used in this section is available on Git Hub. The business logic and modeling functions are located in the src/selection directory, specifically…...

4+ week, 2+ day ago  (856+ words) How ML can change for rare events Machine Learning forecasting fundamentally changes whenever we try to predict a very rare event. We must fundamentally shift what we are modelling to focus on tail events. From model performance metrics and target…...

4+ week, 2+ day ago  (1736+ words) How to build sentiment-aware word representations from IMDb reviews using semantic learning, star ratings, and linear SVM classification We automated the analysis and made the code available on Git Hub. The idea for this article came to me when I…...

1+ mon, 1+ week ago  (496+ words) The best machine learning model is not one model Much like F1, machine learning is a hypercompetitive game of ensemble engineering. The difference of a slight improvement in lap time or loss scores can be measured in the millions of dollars…...

1+ mon, 2+ week 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…...

2+ mon, 1+ week 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…...

2+ mon, 2+ week 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…...

3+ mon, 1+ day 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?...

4+ mon, 2+ 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....

5+ mon, 5+ day 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…...