- How to Monitor Machine Learning Models in Real-Time - Jan 18, 2019.
We present practical methods for near real-time monitoring of machine learning systems which detect system-level or model-level faults and can see when the world changes.
Anomaly Detection, Deployment, Machine Learning, MapR, Monitoring, Real-time
- Industry Predictions: AI, Machine Learning, Analytics & Data Science Main Developments in 2018 and Key Trends for 2019 - Dec 18, 2018.
This is a collection of data science, machine learning, analytics, and AI predictions for next year from a number of top industry organizations. See what the insiders feel is on the horizon for 2019!
2019 Predictions, AI, Analytics, Data Science, Domino, dotData, Figure Eight, Industry, Knime, Machine Learning, MapR, MathWorks, OpenText, ParallelM, Salesforce, Splice Machine, Splunk
- Key Takeaways from Strata + Hadoop World 2017 San Jose, Day 1 - Mar 24, 2017.
The focus is increasingly shifting from storing and processing Big Data in an efficient way, to applying traditional and new machine learning techniques to drive higher value from the data at hand.
CA, Cloudera, Coursera, Hadoop, MapR, Pinterest, San Jose, Strata
- The Art of Data Science: The Skills You Need and How to Get Them - Dec 28, 2015.
Learn, how to turn the deluge of data into the gold by algorithms, feature engineering, reasoning out business value and ultimately building a data driven organization.
Algorithms, Data Science Skills, Feature Engineering, MapR
- Hadoop as a Service: 18 Cloud Options - Apr 2, 2015.
Hadoop as a service in the cloud makes big data applications and projects easier to approach and these 18 platforms each provide their own unique solutions.
AWS, Big Data Services, Cloud, Cloudera, Hadoop, Hortonworks, Information Management, MapR, Microsoft Azure