Kernel-based learning methods form the foundation of an important approach to machine learning, particularly as relates to text classification. Several kernels that are especially notable for their usefulness in text mining also hold potential for other advanced analytics applications.
Text mining is becoming an increasingly vital tool for gaining insight from all the text data that flows over the Internet. This overview describes the basic steps of text mining methods and shows how machine learning techniques can help parse natural language processing.
The craft of data science demands expert judgment every step of the way. See how data scientists can adopt a standard data science methodology that can harmonize steps among diversified teams for applying core concepts of data science, analytics and data management in the data science lifecycle.
Insight 2015 adds some Hollywood-style splash to its concluding general session with a big acquisition announcement that promises to take cognitive innovation to new heights. Get a glimpse of the conference’s wrap and some noteworthy highlights that punctuated this year’s event.
Based on feedback from users, Apache Spark is generating a lot of excitement. Learn how to channel that enthusiasm at the upcoming three-day Datapalooza conference—an intense, fun opportunity to build a data product as well as share experiences and hear from prominent data scientists.
Openness was a common refrain at Insight 2015, and the opportunities of open systems, technologies and the IBM analytics platform are abundant. Check out some observations from the conference and a few shining examples from its demo center.
Expand the boundaries of your possibility thanks to Apache Spark. Big data analysis is undergoing a paradigm shift powered by Spark, which supercharges the Hadoop ecosystem to help organizations accomplish things that were once thought impossible.
Rapid advances in cognitive computing and machine learning are enabling smart guidance in many scenarios. Coming on the heels of several key recent announcements, discover how line-of-business and other users can now leverage the full range of analytics—cognitive, descriptive, predictive and
Documents created in organizations of all sizes represent potential knowledge within each organization. Information management (IM) professionals bring the analytical and creativity qualifications for mining information to build that knowledge. Discover the roles of IM professionals for applying
Apache Spark provides a processing framework that is well suited for collaboration among data scientists, developers and data engineers who create highly adaptive solutions. Attendees at Insight 2015 can learn much more about the Spark framework that is built for speed, ease of use and
Text mining is the next step in data mining, offering advanced capabilities for extracting meaning from vast, amorphous masses of data. Despite its complexity, text mining has much to offer businesses—and the list is growing. Discover what text mining could mean for your organization today.
Thanks to big data and analytics, the public sector has made great strides in a short time. See for yourself how much progress has been accomplished, and find out how you can take advantage of these advances.