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18 articles
Learn how to set up a basic AI development environment and create a simple machine learning model that predicts house prices using Python and scikit-learn.
Researchers have developed an autonomous data science agent using DeepAnalyze-8B that operates efficiently on limited GPU resources like T4 instances, demonstrating advanced data analysis capabilities through sandboxed code execution.
Learn how to set up an AI development environment on Oracle Cloud Infrastructure, including provisioning compute resources, containerizing applications, and managing data pipelines.
Learn how to build a basic movie recommendation system using Python and machine learning concepts, inspired by the tech industry's approach to content suggestion.
This article explains how AI-powered algorithmic ranking systems work to evaluate and exclude members in exclusive networks like the Dialog Club, examining the technical mechanisms and ethical implications of such systems.
Learn how to build a basic AI classification model using Python and scikit-learn that predicts income levels based on demographic data.
Learn how AgentTrove, a massive dataset of AI agent interactions, helps researchers and developers understand and improve AI behavior by studying real-world AI traces.
This explainer explores how AI-powered analytics can extract deeper insights from wearable health data, using the Oura Ring as a case study. Learn about advanced machine learning techniques used in health data processing.
A new tutorial from MarkTechPost provides a comprehensive guide to implementing SHAP explainability workflows, comparing various explainers and exploring advanced techniques like interactions and model drift detection.
OpenAI demonstrates how data science teams can use Codex to automate routine analytical tasks like generating root-cause briefs, KPI memos, and dashboard specifications from simple inputs.
HP is positioning itself as a key player in the enterprise AI landscape, focusing on data readiness and hybrid computing strategies ahead of the AI & Big Data Expo.
Learn to build a simplified agentic framework that turns AI models into autonomous data scientists, automatically generating high-quality training data for machine learning models.
