Apr
2014 May Webcasts
All (123) | Courses, Education (6) | Meetings & Reports (21) | News, Features (22) | Opinions, Interviews (26) | Publications (18) | Software (10) | Top Tweets (13) | Webcasts (7)
- Upcoming Webcasts on Analytics, Big Data, Data Science – May 26 and beyond
- May 26, 2014.
Purchase history to customer projects, Hadoop, YARN, BigML, Amazon Redshift, ClearStory Data, and Analytically Speaking Featuring Dan Ariely - author of Predictably Irrational.
- Upcoming Webcasts on Analytics, Big Data, Data Science – May 19 and beyond
- May 19, 2014.
Data Mining: FTL; Deep Learning with H2O; Purchase history to Customer Projects; Apache Hadoop, Hive, Kafka, Solr; Python for Big Data Analytics, and more.
- Upcoming Webcasts on Analytics, Big Data, Data Science – May 12 and beyond
- May 12, 2014.
Who Owns the Data, The New Database Frontier, Analytically Speaking, Data Mining: Failure To Launch, Deep Learning with H2O, Purchase history to Customer Projects, Hadoop and YARN, and more.
- Webinar: Data Mining: Failure to Launch [May 20]
- May 6, 2014.
Learn how to get started with predictive modeling and overcome strategic and tactical limitations that cause data mining projects to fall short of their potential. Next webinar is May 20.
- Upcoming Webcasts on Analytics, Big Data, Data Science – May 5 and beyond
- May 5, 2014.
SAS and Cloudera, Analytically Speaking, Data Mining: Failure To Launch, Deep Learning with H2O, Hadoop, WCAI Oppy: Purchase history to id customer projects, and more.
- WCAI Research Opportunity: Using Purchase History to Identify Customer Projects
- May 3, 2014.
Customers frequently purchase a collection of products to complete a specific project. A rich data set from a Fortune 500 Specialty Retailer will allow researchers to study this issue - register for May 28 webinar and submit your proposal afterwards.
- Deep Learning with H2O, May 21 Webcast
- May 1, 2014.
H2O is Google-scale open source machine learning engine for R and Big Data. Learn how Deep Learning in H2O is unlocking never before seen performance for prediction - May 21.