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.
Overview of Artificial Neural Networks and its Applications
The term ‘Neural’ is derived from the human (animal) nervous system’s basic functional unit ‘neuron’ or nerve cells which are present in the brain and other parts of the human(animal) body. Dendrite - It receives signals from other neurons.
Log Analytics With Deep Learning And Machine Learning
Deep Learning is a type of Neural Network Algorithm that takes metadata as an input and process the data through a number of layers of a non-linear transformation of the input data to compute the output. This algorithm has a unique feature i.e. automatic feature extraction.