Predictive Modeling

Home » Predictive Modeling

Contextual Outlier Detection with Statistical Modeling on Spark

By | 2018-11-09T10:50:37+00:00 November 6th, 2018|Analytics, Artificial Intelligence, Big Data, Big Data Technologies, Data Sciences, Machine Learning, Predictive Analytics, Predictive Modeling, Recommendations, Uncategorized|

Sometimes an outlier is defined with respect to a context. Whether a data point should be labeled as an outlier depends on the associated context. For a bank ATM, transactions that are considered normal between 6 AM [...]

Harnessing Machine Learning for Outlier Detections in Web Server Logs

By | 2018-11-17T01:23:00+00:00 November 4th, 2018|Analytics, Artificial Intelligence, Azure, Cognitive Services, Data Sciences, Deep Learning, Featured, Machine Learning, Microsoft Azure, Predictive Analytics, Predictive Modeling|

Detecting Outliers in Web Server Logs with Microsoft Azure Cloud – For FREE and at one-tenth the effort!   Every website has web server logs which record the intricate details of site visitors – [...]

Know Thy Data – How a Bank Enabled its Global Employees to Discover Information

By | 2018-11-06T16:09:32+00:00 October 4th, 2017|Big Data, Cognitive Services, Concept Tagging, Data Sciences, Emotion Analysis, Entity Extraction, IBM, IBM Watson, IBM Watson Conversation, JSON, Keywords Extraction, Knowledge Management, Machine Learning, Predictive Analytics, Predictive Modeling, Relations Extraction, Sentiment Analysis, Taxonomy Classification, Text Analytics|

Data is the most valuable asset for any enterprise today. That’s why knowing what’s where and how to access it in time is super critical for any company’s business success. [...]

FREE WEBINAR – Comparative Analysis of Cloud based Machine Learning Platforms

By | 2018-08-03T12:54:52+00:00 February 18th, 2016|Amazon, Big Data, DataBricks, Machine Learning, Microsoft Azure, Predictive Modeling, Recommendations, Webinars|

Machine Learning is seeing its day – every business in every domain is coming up with ways and means of incorporating Data Sciences for delivering business results. Answering the demands [...]