数据科学字母表（英文）

The datascience alphabet

Feel free to add your keywords. Here's a start:

The alphabet:

• Algorithm (also: API, accountability)

• Big data

• Computational complexity (also: clustering, cross-validation, computer science, confidence intervals, compression, collaborative filtering)

• Databases (also: data mining, dashboards, data dictionary, decision science)

• Experimental design (also: entropy, encryption)

• Fraud detection

• Graph databases (also: goodness-of-fit, geospatial data)

• Hadoop (also: hypothesis testing, high performance computing aka HPC)

• Information theory (also: inventory management)

• Java (also: javascript)

• Knowledge discovery (also: Kaggle, K-mean, K-nn, KPI)

• Logistic regression (also: lift)

• Machine learning (also: map-reduce, modeling, metrics)

• NoSQL (also: network topology)

• Optimization (also: operations research, overfitting)

• Predictive modeling (also: Python, Perl)

• Quality as in data quality or quality assurance (also: query)

• Recommendation engine (also: R programming language, R-squared)

• Statistics (also: scoring, segmentation, search technology)

• Taxonomy creation (also: topology)

• User profiling

• Visualization

• Web analytics (also: web crawling)

• XML

• Yottabyte = 10^24 bytes = 1 trillion terabytes, the largest information unit (also: yield optimization)

• Z-score (also: Z-test, Z-transform)