60 stories tagged with #data-science, in publish-time order across the WeSearch catalog. Tag pages update as new stories ingest.
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Data-Centric Artificial Intelligence
Data-centric artificial intelligence (data-centric AI) represents an emerging paradigm that emphasizes the importance of enhancing data systematically and at scale to build effecti…
Introduction to Data-Centric AI
The first-ever course on data-centric AI. Learn how you can train better ML models by improving the data.…
OpenAI Model Solves Erdös Planar Unit Distance Problem - Let's Data Science
Comprehensive up-to-date news coverage, aggregated from sources all over the world by Google News.…
OpenAI Adds Personal Finance Tools to ChatGPT - Let's Data Science
Comprehensive up-to-date news coverage, aggregated from sources all over the world by Google News.…
OpenAI Develops AI-First Smartphone to Challenge iPhone - Let's Data Science
Comprehensive up-to-date news coverage, aggregated from sources all over the world by Google News.…
Japan Secures OpenAI Partnership for Financial Sector - Let's Data Science
Comprehensive up-to-date news coverage, aggregated from sources all over the world by Google News.…
OpenAI Model Disproves Erdős Planar Unit Distance Conjecture - Let's Data Science
Comprehensive up-to-date news coverage, aggregated from sources all over the world by Google News.…
Associated Press Provides OpenAI With US Election Results - Let's Data Science
Comprehensive up-to-date news coverage, aggregated from sources all over the world by Google News.…
They Requested It. I Built It. Nobody Ever Used It.
Why good data work gets ignored after delivery.…
5 Scipy.stats Tricks for Simulating ‘What If’ Scenarios
In this article, we will take a look under the hood of scipy.stats, exploring five essential tricks to design high-performance, rigorous simulations using only NumPy and SciPy.…
OpenAI builds conversation-based ad engine challenging search - Let's Data Science
Comprehensive up-to-date news coverage, aggregated from sources all over the world by Google News.…
K-water Partners with OpenAI to Develop AI Water Tools - Let's Data Science
Comprehensive up-to-date news coverage, aggregated from sources all over the world by Google News.…
Query Symbolically or Retrieve Semantically? A Dataset and Method for Semi-Structured Question Answering
Retrieval-Augmented Generation (RAG) systems for question answering typically retrieve evidence by semantic similarity between the query and document chunks. While effective for un…
OpenAI Includes South Korea in Cybersecurity Program - Let's Data Science
Comprehensive up-to-date news coverage, aggregated from sources all over the world by Google News.…
Quiz: Data Science With Python Core Skills
Test your data science core skills in Python, including CSV and JSON file handling, pandas DataFrames, and NumPy arrays.…
Improving Local Techdocs for Your AI Coding Agent
After crawling and cleaning technical documentation locally, we add page classification, embeddings, and a knowledge graph to make the data much more useful for AI coding agents.…
OpenAI model disproves Erd\u000151s planar unit distance conjecture - Let's Data Science
Comprehensive up-to-date news coverage, aggregated from sources all over the world by Google News.…
When Does Synthetic Patent Data Help? Volume-Fidelity Trade-offs in Low-Resource Multi-Label Classification
We study when LLM-generated synthetic data helps low-resource multi-label patent classification, separating true synthetic value from the confound that larger augmented sets can wi…
Agent-as-Peer-Debriefer: A Multi-Agent Framework with Perspective-Based Refinement for Qualitative Analysis
Large language models (LLMs) are increasingly used for qualitative data analysis (QDA), yet their outputs often miss the depth and nuance of human analysis. We argue this gap refle…
Noise-Robust Financial Numerical Entity Attribute Tagging
Financial Numerical Entity (FNE) understanding aims to recover the meaning of numerical mentions in financial reports. Existing studies primarily focus on concept name prediction a…
Can AI Write Your Code?
What a recent study on ChatGPT, Python, R, and Stata tells us about AI-assisted coding for causal inference…
Auditing Model Bias with Balanced Datasets with Mimesis
Learn how to use Mimesis library to generate a balanced, counterfactual dataset that helps analyze potential bias in your models.…
5 More Must-Know Python Concepts
Let's take a look at five more fundamental concepts that every Python developer should have in their toolkit.…
# Mitigating Market Inefficiency in eSports: A Stochastic Approach to EA Sports FC25 Modeling
### By Bettrails Data Lab *Technical Classification: Data Science / Predictive Modeling / Sports...…
# How I Built a Retail Demand Forecasting App with Python and Streamlit
By Okparaji Wisdom | Data Scientist | Nigeria Retailers in Nigeria lose millions of naira every...…
Beyond the Model: Why Data Scientists Must Embrace APIs and API Documentation
Unlock the power of API for data-driven solutions…
Is There a Roadmap for Applied AI Engineering Without Going Deep Into Data Science?
OpenAI Trial Raises Questions About Profit Motives - Let's Data Science
Comprehensive up-to-date news coverage, aggregated from sources all over the world by Google News.…
When recall plateaus: the late-interaction technique most teams skip
A founder we work with had been stuck on the same problem for two months. Their RAG retrieval recall...…
Data Fundamentals Primer for Learning LLM
The minimum data plumbing every ML pipeline needs — samples, features and labels, the train/val/test split, text encoding (ASCII and UTF-8), and preprocessing.…
OpenAI posts job to prepare for self-training AI - Let's Data Science
Comprehensive up-to-date news coverage, aggregated from sources all over the world by Google News.…
Why scikit learn's fit transform is probably not for you
If you’ve ever used code from scikit-learn, you will have seen the following pattern:…
TabPFN-MT: A Natively Multitask In-Context Learner for Tabular Data
Prior-Data Fitted networks (PFNs) have been very successful in tabular contexts, handling prediction tasks in context. However, they are designed for single-task inference, meaning…
Less Data, Faster Training: repeating smaller datasets speeds up learning via sampling biases
This work investigates the ``small-vs-large gap'', where repeating on fewer samples can lead to compute saving during training compared to using a larger dataset. This is observed …
3 Claude Skills Every Data Scientist Needs in 2026
If you don't want to be left behind, start doing these things with Claude…
Optimizing AI Agent Planning with Operations Research and Data Science
AI agents can quickly become expensive without a clear strategy for planning, skill coverage, and budgets. This article shows how to use operations research and data science to opt…
Anonymizing Production Data for Data Science with Mimesis
Learn how to utilize Python's Mimesis library for anonymizing sensitive production data, based on a step-by-step example to try yourself.…
When Tabular Foundation Models Meet Strategic Tabular Data: A Prior Alignment Approach
Tabular foundation models based on pretrained prior-data fitted networks~(PFNs) have shown strong generalization on diverse tabular tasks, but they are typically designed for \emph…
Dimensional Balance Improves Large Scale Spatiotemporal Prediction Performance
Accurate spatiotemporal pattern analysis is critical in fields such as urban traffic, meteorology, and public health monitoring. However, existing methods face performance bottlene…
INSIGHTS: Demonstration-Based Summaries of Time Series Predictors
Explainability methods have progressed rapidly, but global explanations for time-series models remain underdeveloped, with most approaches focusing on local, instance-level attribu…
FLUIDSPLAT: Reconstructing Physical Fields from Sparse Sensors via Gaussian Primitives
Reconstructing continuous flow fields from sparse surface-mounted sensors is central to aerodynamic design, flow control, and digital-twin instrumentation. Existing neural methods …
LAST-RAG: Literature-Anchored Stochastic Trajectory Retrieval-Augmented Generation for Knowledge-Conditioned Degradation Model Selection
Stochastic-process-based degradation modeling is a core approach for estimating the distribution of remaining useful life (RUL); however, the selection of an appropriate stochastic…
Whispers in the Noise: Surrogate-Guided Concept Awakening via a Multi-Agent Framework
Diffusion models (DMs) are widely used for text-to-image generation, but their strong generative capabilities also raise concerns about unsafe or undesirable content. Concept erasu…
Is UIUC MCS or GT OMSCS better? UIUC MCS seems like Data Science degree faking as “CS” degree
A Rust-Python thing I am working on. Apache 2 licence
Contribute to KevinKenya/nairobi-connector-open-source development by creating an account on GitHub.…
Canadian Regulators Find OpenAI Violated Privacy Laws - Let's Data Science
Comprehensive up-to-date news coverage, aggregated from sources all over the world by Google News.…
Career Crossroads at 34 yo: FRM for Quant Risk vs. MS in Computer Science (GT OMSCS) for Data Science & AI
Microsoft Decouples from OpenAI, Expands Azure Platform - Let's Data Science
Comprehensive up-to-date news coverage, aggregated from sources all over the world by Google News.…
OpenAI Provides ChatGPT Plus Access to Malta - Let's Data Science
Comprehensive up-to-date news coverage, aggregated from sources all over the world by Google News.…
DeltaPrompts: Escaping the Zero-Delta Trap in Multimodal Distillation
Distillation enables compact Vision-Language Models (VLMs) to obtain strong reasoning capabilities, yet the prompts driving this process are typically chosen via simple heuristics …
Jury Weighs Musk Lawsuit Against OpenAI and Microsoft - Let's Data Science
Comprehensive up-to-date news coverage, aggregated from sources all over the world by Google News.…
The LLM Looked Smart. The Metrics Disagreed
Building a Biomedical GraphRAG Inference System: Comparing LLM-Only, Basic RAG, and GraphRAG Pipelines
Introduction As enterprise adoption of LLMs grows, inference costs, hallucinations, and retrieval...…
Pandas Isn’t Going Anywhere: Why It’s Still My Go-To for Data Wrangling
Billions of rows might be the exception, but for everything else, Pandas is still a highly reliable tool.…
Explorando el éxito musical en Spotify con Python
Explorando el éxito musical en Spotify con Python En este proyecto realicé un análisis...…
OpenClaw Founder Incurs $1.3M OpenAI Token Bill - Let's Data Science
Comprehensive up-to-date news coverage, aggregated from sources all over the world by Google News.…
OpenAI acquires Weights.gg voice-cloning team and IP - Let's Data Science
Comprehensive up-to-date news coverage, aggregated from sources all over the world by Google News.…
OpenAI Consolidates ChatGPT and Codex Under Brockman - Let's Data Science
Comprehensive up-to-date news coverage, aggregated from sources all over the world by Google News.…
Introduction to Python for Data Analytics
A personal learning journey into Python for data analytics — from setting up your environment to mastering the fundamentals that power real-world data work.…