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Machine Learning

Machine Learning enables computers to augment human capabilities by learning from data and experience to act without being explicitly programmed, therefore helping organizations achieve more.

Machine Learning provides intelligence by learning from data, identifying patterns and making decisions with minimal human involvement. Many organizations are collecting large amounts of data that they do not know what to do with. By leveraging Machine Learning, organizations can quickly and automatically produce models that can analyze large, complex data to deliver faster and more accurate results gaining an advantage over competitors.


One of the key pillars of Nihilent’s Data Science practice is Machine Learning. We judiciously blend Machine Learning along with Artificial Intelligence, Deep Learning, and Cognitive Analytics to create an intelligent insight ecosystem.

Nihilent’s Machine Learning offerings are spread across two important elements:

Context Modelling: We go through reams and reams of unstructured data and leverage Machine Learning and blend it with Analytics to create meaningful actionable insights. We use context modelling for industries such as Banking for Risk Analysis.

Image Analysis: Object Detection and Pattern Matching, we work with industries such as Consumer Packaged Goods (CPG).

In terms of technologies, we leverage Big Data and use Microsoft HDInsight, Data Lake, Python, and Tensorflow.