data sampling | BestHub

DataFunTalk

Feb 15, 2024 · Big Data

Data Quality Review: From Compliance to Reasonableness and Toolchain Overview

This article explores data collection governance by distinguishing compliance from reasonableness, introduces a comprehensive quality review tool system—including visual inspection, intelligent judgement, and self‑diagnosis—details key techniques such as comparison operators and sampling, and outlines a three‑layer architecture and future directions for data quality assurance.

Big Datadata governancedata quality

0 likes · 18 min read

Data Quality Review: From Compliance to Reasonableness and Toolchain Overview

Test Development Learning Exchange

Nov 27, 2023 · Fundamentals

Practical Data Sampling Techniques and Code Examples for Various Business Scenarios

This article presents ten real‑world business scenarios illustrating data sampling methods such as random, stratified, time‑window, sliding‑window, keyword, group, interval, click‑based, and weight‑based sampling, each accompanied by clear Python pandas code examples.

Pythonbusiness analyticsdata sampling

0 likes · 6 min read

Practical Data Sampling Techniques and Code Examples for Various Business Scenarios

Model Perspective

Mar 19, 2023 · Artificial Intelligence

Master Data Sampling Techniques in Python for Machine Learning

This article explains common data sampling methods—random, stratified, oversampling, undersampling, and adaptive sampling—and provides Python code examples using scikit-learn and imbalanced-learn to implement each technique on the Iris dataset and synthetic data.

data samplingmachine learningoversampling

0 likes · 11 min read

Master Data Sampling Techniques in Python for Machine Learning

DataFunTalk

Dec 28, 2021 · Artificial Intelligence

Evaluation Framework and Methodology for OPPO XiaoBu AI Assistant

This article presents a comprehensive evaluation framework for OPPO's XiaoBu AI assistant, covering evaluation concepts, objectives, five key elements, sampling methods, dimension selection, annotation scoring, report generation, and a detailed Q&A that illustrates practical metrics and processes for voice and search services.

AI evaluationOPPOVoice Assistant

0 likes · 23 min read

Evaluation Framework and Methodology for OPPO XiaoBu AI Assistant

DataFunSummit

Dec 27, 2021 · Artificial Intelligence

Evaluation Framework and Methodology for OPPO XiaoBu AI Assistant

This article presents a comprehensive evaluation framework for OPPO's XiaoBu AI assistant, covering the concept and purpose of evaluation, the five key evaluation elements, data sampling strategies, dimension and rule selection, annotation scoring, reporting guidelines, and detailed procedures for assessing wake‑up, ASR, NLU, and TTS performance.

AI evaluationVoice Assistantannotation

0 likes · 20 min read

Tencent Advertising Technology

Jun 14, 2017 · Big Data

Techniques for Handling Large-Scale Competition Data: Sampling, Feature Processing, and External‑Memory Learning

This article presents practical strategies for processing massive competition datasets—including down‑sampling, streaming feature extraction, external‑memory learning, and tool recommendations—to overcome memory constraints and improve model building efficiency.

Big Datadata samplingexternal memory learning

0 likes · 4 min read

Techniques for Handling Large-Scale Competition Data: Sampling, Feature Processing, and External‑Memory Learning