Test Driven Development and Behavior Driven Development in Machine Learning and Deep Learning
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
Time Series Analysis & Forecasting Using Machine Learning & Deep Learning
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
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
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?
Data Preprocessing and Data Wrangling in Machine Learning and Deep Learning
Deep learning and Machine learning are becoming more and more important in today's ERP (Enterprise Resource Planning). During the process of building the analytical model using Deep learning or Machine learning the data set is collected from various sources such as a file, database, sensors and much more.