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Specialty Description Deep Learning Computer programs, such as the ones behind driverless cars, that use a subset of machine learning to learn by example through artificial neural networks. Knowledge Representation Computer lists, tree-graphs, and semantic networks that represent data in a format usable for AI applications. Machine Learning Computer programs, such as email filters, that can access data and use it to learn for themselves through algorithms and statistical models. A/B Testing Comparison of two versions of a webpage, ad, app, or any variable against each other to determine which one performs better. Data Analytics Analysis of data sets to discover useful information that can guide business decisions and test theories. Experimentation & Testing Experimentation involves testing a product or service with the goal of innovation. Testing involves the validation of a product or service. Data Visualization Statistical graphics, plots, infographics, charts, diagrams, or pictures created to represent data visually. Data Extraction Retrieval of data from (often unstructured) data sources and formats for further processing and/or storage. Data Processing Meaningful information produced through collecting and manipulating raw data, such as from written forms or invoices. Data Engineering Design, building, and maintenance of data infrastructures, such as databases and large-scale processing systems. Data Mining Examination and evaluation of datasets to find anomalies, correlations and other patterns.