machine learning – Page 2

Prescriptive Modeling Unpacked: A Complete Guide to Intervention With Bayesian Modeling.

2025-06-07

In this article, I will demonstrate how to move from simply forecasting outcomes to actively intervening in systems to steer ...

Perplexity’s CEO Sees AI Agents as the Next Web Battleground

2025-06-04

Wait though … Perplexity—like other AI search engines—has been criticized for hallucinating and getting things wrong. We welcome this criticism, ...

Data Drift Is Not the Actual Problem: Your Monitoring Strategy Is

2025-06-04

is an approach to accuracy that devours data, learns patterns, and predicts. However, with the best models, even those predictions ...

Evaluating LLMs for Inference, or Lessons from Teaching for Machine Learning

2025-06-03

opportunities recently to work on the task of evaluating LLM Inference performance, and I think it’s a good topic to ...

LLM Optimization: LoRA and QLoRA | Towards Data Science

2025-06-02

With the appearance of ChatGPT, the world recognized the powerful potential of large language models, which can understand natural language ...

GAIA: The LLM Agent Benchmark Everyone’s Talking About

2025-05-30

were making headlines last week. In Microsoft’s Build 2025, CEO Satya Nadella introduced the vision of an “open agentic web” ...

From Data to Stories: Code Agents for KPI Narratives

2025-05-29

, we often need to investigate what’s going on with KPIs: whether we’re reacting to anomalies on our dashboards or ...

Bayesian Optimization for Hyperparameter Tuning of Deep Learning Models

2025-05-28

to tune hyperparamters of deep learning models (Keras Sequential model), in comparison with a traditional approach — Grid Search. Bayesian Optimization Bayesian ...

Why Regularization Isn’t Enough: A Better Way to Train Neural Networks with Two Objectives

2025-05-27

neural networks, we often juggle two competing objectives. For example, maximizing predictive performance while also meeting a secondary goal like fairness, interpretability, ...