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Test Driven Development and Behavior Driven Development in Machine Learning and Deep Learning

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A pattern built for development in performance testing is known as Test Driven Development. It is a process that enables the developers to write code and estimate the intended behaviour of the application. The requirements for the Test Driven Development process

Test Driven & Behavior Driven Development in Python

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Test Driven Development (TDD) is a great approach for software development. TDD is nothing but the development of tests before adding a feature in code. This approach is based on the principle that we should write small codes rather than writing long codes.

Time Series Analysis & Forecasting Using Machine Learning & Deep Learning

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Time is the only moving thing in the world which never stops. When it comes to forecasting, the human mind tends to be more curious as we know that things change with time. Hence we are interested in making predictions ahead of time.

Anomaly Detection of Time Series Data Using Machine Learning & Deep Learning

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Time Series is defined as a set of observations taken at a particular period of time. For example, having a set of login details at regular interval of time of each user can be categorized as a time series. On the other hand, when the data is collected at once or irregularly, it is not taken as a time series data.

Semantic Search Based on Domain Ontology Using Apache Spark & Jena

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In a natural language, semantic analysis is relating the structures and occurrences of the words, phrases, clauses, paragraphs etc and understanding the idea of what’s written in particular text. Does the formation of the sentences, occurrences of the words make any sense?

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