Download your FREE copy of “Software Defined Storage for Dummies” today, compliments of IBM Platform Computing! This new learning resource can help enterprise thought leaders better understand the new area of software define storage in support of big data initiatives. Software defined storage is a relatively new concept in the computing and storage industry and […]
Statistics—the science of learning from data—is the fastest-growing science, technology, engineering and math (STEM) undergraduate degree in the United States over the last four years, an analysis of federal government education data conducted by the American Statistical Association (ASA) revealed.
MapR Technologies, Inc., provider of a leading distribution for Apache™ Hadoop®, announced the availability of free Hadoop On-Demand Training for developers, analysts and administrators.
With the big data education resource below, you can learn about data modelling in a NoSQL environment.
Welcome back to our series of articles sponsored by Intel – “Ask a Data Scientist.” This week’s question is from a reader who asks about ensemble methods and how you use them.
Welcome back to our series of articles sponsored by Intel – “Ask a Data Scientist.” This week’s question is from a reader who asks for an explanation of confounding variables and why they’re important in data science projects.
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.
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.
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.