数据与 AI技能

Analyze text data with NLP — preprocessing, embeddings, topic modeling, sentiment, classification, and evaluation. Use when turning unstructured text into structured insight.

中文简介正在准备中。当前显示原文说明。

Manage ML datasets with the datasets ecosystem — loading, streaming, preprocessing, versioning, and sharing. Use when data handling (not modeling) is the bottleneck.

中文简介正在准备中。当前显示原文说明。

Run the data science workflow end to end — framing, exploration, feature engineering, modeling, validation, and communicating results. Use when turning raw data into decisions or predictions.

中文简介正在准备中。当前显示原文说明。

Choosing colormaps scientifically — perceptual uniformity, color-vision deficiency, and matching map to data type.

中文简介正在准备中。当前显示原文说明。

Build custom data visualizations with D3: selections, scales, axes, transitions, and reusable chart patterns. Use when off-the-shelf charts aren't enough.

中文简介正在准备中。当前显示原文说明。

CSV processing done right — parsing edge cases, dialects, and large files — use when ingesting or exporting CSV data.

中文简介正在准备中。当前显示原文说明。

Crystal structure fundamentals — lattices, space groups, Miller indices, and reading crystallographic data correctly.

中文简介正在准备中。当前显示原文说明。

Analyzing contact tracing data — network reconstruction, transmission chains, and evaluating tracing performance.

中文简介正在准备中。当前显示原文说明。

Design annotation pipelines that produce reliable training labels — guidelines, agreement measurement, and quality control.

中文简介正在准备中。当前显示原文说明。

ClickHouse columnar analytics — schema design, MergeTree tuning, and fast queries — use for OLAP and high-volume event data.

中文简介正在准备中。当前显示原文说明。

Working with observational climate data — reanalyses, station records, anomalies, trends, and honest uncertainty.

中文简介正在准备中。当前显示原文说明。

Build with Cohere's enterprise AI — Command models, Embed embeddings, and Rerank for retrieval pipelines.

中文简介正在准备中。当前显示原文说明。

NLP on clinical text — de-identification, concept extraction, phenotyping from notes, and LLM safety guardrails.

中文简介正在准备中。当前显示原文说明。

Translating coarse global climate projections to local scales — dynamical vs statistical downscaling, bias correction, and added value.

中文简介正在准备中。当前显示原文说明。

Estimate causal effects from observational and experimental data — DAGs, confounding control, quasi-experimental designs, and sensitivity analysis. Use when you need "what causes what," not just correlation.

中文简介正在准备中。当前显示原文说明。

Build dashboards with Chart.js: layout, KPI cards, cross-chart filtering, theming, and real-time panels. Use for operational and analytics dashboards.

中文简介正在准备中。当前显示原文说明。

Split documents for retrieval effectively — fixed, semantic, structural, and hierarchical chunking with overlap tuning. Use when RAG retrieval quality depends on how documents are divided.

中文简介正在准备中。当前显示原文说明。

Bayesian data analysis — priors, likelihoods, posterior computation, model comparison, and honest reporting.

中文简介正在准备中。当前显示原文说明。

End-to-end bioinformatics analysis — sequence QC, alignment, and omics pipelines for research data.

中文简介正在准备中。当前显示原文说明。

Precision position measurement — proper motions, parallaxes, reference frames, and working with Gaia data.

中文简介正在准备中。当前显示原文说明。

Analyzing behavioral experiment data — RT/accuracy preprocessing, mixed-effects models, and robust inference.

中文简介正在准备中。当前显示原文说明。

Statistical methods for biology and medicine — study design, hypothesis testing, regression, and survival analysis.

中文简介正在准备中。当前显示原文说明。

Build LLM applications with chain-style orchestration frameworks — prompts, chains, tool-calling agents, memory, and retrieval pipelines. Use when structuring multi-step LLM programs, adding tools to a model, or composing RAG systems in code.

中文简介正在准备中。当前显示原文说明。

Proven prompts behind viral AI-made videos across 4 models — Claude, Muse AI, ChatGPT, Gemini. Browse by model, category, or tech tag, copy a creator's prompt, adapt it to your own model and renderer. Use when you need a motion-graphic, explainer visual, 3D scene, interactive animation, or AI video-gen prompt that already worked in the wild.

中文简介正在准备中。当前显示原文说明。