Safera – Crime Analytics & Predictions Platform

By |2020-09-27T18:18:38+00:00September 27th, 2020|Artificial Intelligence, Big Data, Big Data Technologies, Cloud Computing, Crime Analytics, Data Engineering, Data Sciences, Data Visualizations, Machine Learning, Natural Language Processing, Predictive Analytics, Predictive Modeling, Safera|

ClouDhiti, ThirdEye's sister company, is proud to announce the launch of Safera - a Crime Analytics & Predictions Platform. Law Enforcement and Public Safety Agencies around the world can rely on Safera to detect, [...]

Predicting Covid-19 Viral Infections using Contact Data with LSTM Neural Network

By |2021-06-17T12:16:39+00:00August 20th, 2020|Big Data, Covid19, Data Sciences, Deep Learning, Machine Learning, Pranab Ghosh, Predictive Analytics, Predictive Modeling, Python, Pytorch, Top Picked, Viral Infections|

With Covid-19 ravaging the world, a lot of people are exploring ways AI and ML can help in combating the virus spread and infection. Viruses like Covid-19  is a complex socio-economic and public health [...]

fbProphet – Comparatve Analysis of Incremental and Normal Learning

By |2021-06-17T12:17:26+00:00December 25th, 2019|Anomaly Detection, Artificial Intelligence, Blogs, Deep Learning, fbProphet, Informative, Machine Learning, Original Content, Predictive Analytics, Predictive Modeling, Recommendations|

fbProphet - Comparative Analysis of Incremental and Normal Learning This blog presents a comprehensive analysis of ‘incremental learning’ with fbProphet with different approaches. Analysis was done on data provided by one of ThirdEye’s [...]

Outlier Detection using Apache Spark Solution

By |2021-06-18T17:18:44+00:00November 6th, 2018|Analytics, Apache Spark, Artificial Intelligence, Big Data, Big Data Technologies, Data Sciences, Informative, Machine Learning, Predictive Analytics, Predictive Modeling, Recommendations|

Outlier Detection using Apache Spark Solution 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 [...]

Harnessing Machine Learning for Anomaly Detections in Web Server Logs

By |2021-06-17T12:18:12+00:00November 4th, 2018|Analytics, Artificial Intelligence, Azure, Cognitive Services, Data Sciences, Deep Learning, Machine Learning, Microsoft Azure, Original Content, Predictive Analytics, Predictive Modeling|

Detecting Anomaly 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 – their [...]

Auto Training and Parameter Tuning for a ScikitLearn based Model for Leads Conversion Prediction

By |2019-08-22T07:32:52+00:00May 29th, 2018|Analytics, Blogs, Data Sciences, Pranab Ghosh, Predictive Analytics, Predictive Modeling, Python, ScikitLearn|

Auto Training and Parameter Tuning for a ScikitLearn based Model for Leads Conversion Prediction This is a sequel to my last blog on CRM leads conversion prediction using Gradient Boosted Trees as implemented in ScikitLearn. The focus of [...]

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

By |2019-06-21T13:08:07+00:00October 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, Original Content, 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. [...]

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