Savvy retailers are harnessing the power of big data by combining data from a number of sources such as web browsing patterns, social media and industry forecasts. They are using big data to predict trends, prepare for demand, optimize pricing, and ultimately to improve each customer’s experience to increase acquisition and retention rates.
Teradata (NYSE: TDC), the big data analytics and marketing applications company, and MapR Technologies, Inc., a provider of Apache™ Hadoop, has announced an expanded partnership that covers technology integration, road map alignment, and a unified go-to-market offering.
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.
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.
Databricks, the company founded by the creators of the popular open-source Big Data processing engine Apache Spark, has announced a certification program to enable all enterprises to quickly find qualified resources and support for their Apache Spark-based data analytic projects.
MetiStream, a leader in implementing highly scalable real-time analytic and streaming solutions using innovative open source technologies, announced that it has become a Spark Certified Systems Integrator and Certified Spark Trainer by Databricks, the company
founded by the team that created and continues to drive Apache Spark, the most active open source project in the Big Data ecosystem.
The video presentation below is a highly compelling talk by Stanford University professor and Coursera co-founder, Dr. Andrew Ng. Andrew addresses a graduate summer school audience at UCLA’s IPAM (Institute for Pure & Applied Mathematics) on the topic – Deep Learning, Feature Learning.