Provided by our friends over at Edureka, Module 1 of their Apache Cassandra course below discusses the fundamental concepts of using a highly-scalable, column-oriented database to implement appropriate use cases.
Support Vector Machines (SVM) is an important and widely used machine learning algorithm. In order to fully understand SVMs, you need to have a fundamental understanding of how the statistical learning method functions. Here is a useful lecture on SVM coming from MIT OpenCourseware.
Glassbeam, Inc., the machine data analytics company, today announced a new version of Glassbeam SCALAR tightly integrated with Apache Spark™, enhancing its cutting-edge Internet of Things (IoT) analytics platform with new capabilities around advanced machine learning and real-time analytics.
Our friends over at DataCamp just came out with a cool new infographic entitled “Become a Data Scientist in 8 easy steps.” This hits home to a lot of people who are trying to enter this new industry hoping to satisfy a lot of unfilled job openings. The question is how best to make this transition. The useful infographic below will help answer this question by outlining the process of becoming a data scientist.
Revolution Analytics, the only commercial provider of open source R software, today announced two new offerings that support the open source R community and elevate R’s capabilities to enterprise-level performance. Revolution R Open is a free, open source R distribution that enhances R performance, makes it easier to share R scripts and improves collaboration on R-based advanced analytics applications.
Cornerstone OnDemand (NASDAQ:CSOD), a global leader in cloud-based talent management solutions, announced that the company has entered into a definitive agreement to acquire privately-held Evolv Inc. With its leading machine learning and data science platform, the acquisition of Evolv will allow Cornerstone clients to leverage the power of big data analytics to make better workforce decisions.
This webinar is focus on understanding active risk management with high performance data and grid management.