At the recent Spark & Machine Learning Meetup in Brussels, Holden Karau of the Spark Technology Center delivered a lightning talk called "A very brief introduction to extending Spark ML for custom models."
At the Spark & Machine Learning Meetup in Brussels on October 27, 2016, Pierre Borckmans of Real Impact Analytics delivered a lightning talk called "Writing Spark applications, the easy way: How to focus on your data pipelines and forget about the rest."
Countering fraud is an ongoing process in the world of finance, but it need not be an overwhelming one. When identifying fraudulent activity amid the millions of transactions that flood financial networks, IBM Safer Payments offers ways to help manage workloads while avoiding false positives.
Discover some of the latest and greatest developments in the world of Apache Spark in this retrospective on Spark Summit Europe 2016. When you do, find out how modern developers are connecting their data sources to Spark in exciting ways, and learn how the cloud is providing access to Spark-powered
The combination of Jupyter Notebooks, Apache Hadoop and Apache Spark has become a killer app for data practitioners. It unlocks the ability to explore, visualize and experiment with both structured and unstructured data sets with great ease and efficiency. We spoke recently with Chris Snow at IBM
Automation can be a great solution for highly manual processes, but its implementation has its detractors. Can robotic process automation be successful in providing an artificial intelligence solution that includes machine learning for further streamlining typically manually intensive processes?
Apache Spark, sometimes called the “analytics operating system,” is empowering organizations of all kinds through machine learning by helping them create unprecedented value from their data. Discover eight ways that Apache Spark’s machine learning capabilities are driving the modern business.
Data science may be the en vogue profession descriptor for what many who work with statistics and statistical modeling do, but being a data scientist in this era requires a unique set of skills and experiences. See why data science may not be a crystal ball capable of predicting all events, but how
Historical application of vector mathematics and the study of unstructured text data can be an important approach to understanding and actualizing the value of data. See how mathematical exploration of text data can unearth insight that translates into enhanced decision making.
In a world overrun with competing local, national and global regulations touching every aspect of finance, compliance can seem elusive—even unattainable. Yet, modern financial institutions have the ability to not only survive but also thrive amid an ever-changing regulatory landscape. Discover how
Apache Spark 2.0 and Apache SystemML are now available in IBM BigInsights for Apache Hadoop on Bluemix, accessible in the Basic plan under BigInsights for Apache Hadoop. Choose from among a wider array of capabilities than ever before as you take advantage of these additions to your cluster