Introduction About six months ago, a proposal I made to improve a predictive model I was in charge of was stalled during an ...

Introduction A few years ago, I was solely responsible for an in-house demand forecasting model. The scores on the validation ...

Explore the best free machine learning courses, from beginner-friendly lessons to university-level study. Compare ...

A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning ...

ThoughtSpot Spotter predictive models give you a fast first read. See where they stop and how Analyst Studio turns them into ...

Supersonic Labs' Julia 1 is a 144.3M-parameter Apache 2.0 decision model that classifies, scores, and routes on CPU.

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Physical data layout is one of the most ...

Nokia's open-source AnyJev turns open LLMs into calibrated decision models with no training, lifting automatable traffic 6.8x ...

H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), ...

Before you automate anything, use the decision tree in this guide on AI agents vs. traditional automation to decide whether AI is safe to use for a given task. From there, choose which automation ...