In the presentation below, Alec Radford, Head of Research at indico Data Solutions, talks about deep learning with Python and the Theano library.
Students from more than 20 prestigious colleges and universities recently tried their hand at “Big Data” analysis at seven different campuses around the country during DataFest, an annual month-long data-analytics competitive event sponsored by the American Statistics Association.
Our friends over at Udemy partnered with data scientist David Taylor (specialist in data spelunking and visualization) to create a fun (and free) Excel tutorial on analyzing large data sets.
MapR Technologies, Inc., provider of a top-ranked distribution for Apache™ Hadoop®, announced its newly available free Hadoop On-Demand Training program has enrolled more than 10,000 registrants worldwide in its first 30 days, signaling strong interest in Hadoop skills training.
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.