Can You Out-Estimate the Zestimate?
Industry-led contests have long been a reliable way to gather interest in a topic, but can they improve an ML
Data Scientists vs. Data Engineers and Data Analysts
Data engineers, data analysts, and data scientists are all valuable additions to businesses of all size and scope. But they each have a different job to
Using Apache Spark Machine Learning for Pattern Detection
As Oracle recounts, Apache Spark excels at running machine learning queries on massive data
How Trulia Uses Artificial Intelligence to Sell Homes
Trulia’s VP of Data Engineering shares how Trulia uses artificial intelligence in a recommendation system for homes. Also discussed: limitations of
Smart Apps: 4 Tips in Using Fast Data for Better Business Applications
Customers expect fast apps and personalized experiences. Here's how a NoSQL database, machine learning, and other tools can
Quantum Computing and Deep Learning Can Tackle “Unsolvable” Problems, Says IBM
“If companies can access a quantum computer through an API in the cloud, they can take advantage of the speed without that overwhelming
Big Data Trends for 2017: Hadoop Meets Machine Learning
Data and source-agnostic platforms will beat out siloed systems; Spark and machine learning continue to
Crowdsourced Analytics: Using “Data Socialization” for Business Insights
"Data socialization" involves crowdsourcing data analysis and visualization in an organization. Datawatch sees tangible business benefits from the
How Chip Cards Still Expose You to Online Fraud
On the internet, the credit card may not be present -- but the thieves still
The Value in Data Anomalies, from Dollhouses to Gaming
Anodot outlines a machine learning-based approach to anomaly detection with time-series