Opinions differ on who, exactly, is a citizen data scientist, but one thing is for certain—they’re ushering in the cognitive era in ways never before imagined. Join a panel of social VIPs at IBM Insight 2015 to hear their take on citizen data scientists and their role in the modern data paradigm.
The first Datapalooza has just wrapped up, but it was just the beginning. Stay on the lookout for Datapalooza’s arrival to a city near you—you won’t want to miss your chance to kickstart your entry into the insight economy.
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.
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
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.
In a world built on sensors, businesses that want to act on data at scale require analytics solutions capable of gaining insights from data in real time, allowing them to make the right decision at the right time.
Game show contestant, medical science researcher and now a legal assistant, IBM Watson continues to expand its cognitive talents into a wide range of professions. Discover why even Watson’s gaffs offer tremendous potential for enhancing tough legal decisions.
So you want to enter the data science field, or maybe you are already a data scientist looking to expand your horizons. Several routes into the profession can provide the core skills, knowledge and best practices necessary to become a developer in the era of cognitive computing. And events such as
At developerWorks Recipes from IBM, novices and experienced developers can access and contribute powerful Internet of Things recipes. This step-by-step tutorial offers a head start on IoT or other applications that connect hardware, run analytics, use machine learning and more.
Find out how Day 3 of the conference offered insight into how data scientists have benefited from the latest approaches to web-scale analytics, including open sourcing of the System ML machine learning library to help the Spark community.