Image Credit: raindrop74 / Shutterstock Microsoft develops flexible AI system that can summarize the news Condensing paragraphs into sentences isn’t easy for artificial intelligence (AI). That’s because it requires a semantic understanding of the [...]
ThirdEye Data launches 3 new Open Source solutions for Anomaly Detection and Predictive Analytics Over the past 20 years, the Open Source Software (OSS) movement has given developers and programmers the freedom to experiment, [...]
What’s Driving the Cloud Data Warehouse Explosion? (RoboLab/Shutterstock) The advent of powerful data warehouses in the cloud is changing the face of big data analytics, as companies move their workloads into the cloud. According [...]
Embrace The Noise: A Case Study Of Text Annotation For Medical Imaging In this post we'll discuss the recent paper TextRay: Mining Clinical Reports to Gain a Broad Understanding of Chest X-rays focusing on the best [...]
Deep Learning: Which Loss and Activation Functions should I use? The purpose of this post is to provide guidance on which combination of final-layer activation function and loss function should be used in a [...]
Bulk Mutation in an Integration Data Lake with Spark Data lakes act as repository of data from various sources, possibly of different formats. It can be used to build data warehouse or to perform [...]
Learning Alarm Threshold from User Feedback using Decision Tree on Spark Alarm fatigue is a phenomena where some one is exposed to large number of alarms, become desensitized to them and start ignoring them. It’s been [...]
Pluggable Rule Driven Data Validation with Spark Data validation is an essential component in any ETL data pipeline. As we all know most Data Engineers and Scientist spend most of their time cleaning and preparing [...]
Improving Elastic Search Query Result with Query Expansion using Topic Modeling Query expansion is a process of reformulating a query to improve query results and to be more specific to improve the recall for a [...]
