I’m frequently asked about educational resources for those making their entry into the data science and machine learning professions. There are plenty of good advanced books such as theoretical masterpieces. The book “R for Everyone: Advanced Analytics and Graphics” authored by Jared P. Lander covers the intermediate ground very well.
In the presentation below, Seth Juarez of DevExpress discusses architecting predictive algorithms for machine learning.
WPI Receives U.S. Dept. of Education Funding to Address Shortage in Big Data Computing Professionals
Addressing a critical need for enhancing the nation’s capacity for computer science research and teaching, the U.S. Department of Education has granted Worcester Polytechnic Institute (WPI) $885,834 through its Graduate Assistance in Areas of National Need (GAANN) program. The funding will provide six needs-based fellowships for computer science PhD students who will study big data computing.
Big data is going Spark crazy! Here’s a whopping 6 hour intensive, fast-paced and vendor agnostic look at Spark Core presented by Sameer Farooqui, a client services engineer at Databricks.
Where can aspiring and practicing data scientists earn respected credentials in big data and analytics? The same source organizations can tap to transform top talent and gain a competitive edge: the new SAS® Academy for Data Science.
MapR Technologies, Inc., provider of a leading distribution for Apache™ Hadoop® that integrates web-scale enterprise storage and real-time database capabilities, announced the availability of the first free Apache Spark course as part of a new series in its Hadoop On-Demand Training program.
Dell announced the Dell Statistica Free Academic Program, a free version of its award-winning Statistica advanced analytics software now available to all U.S. college students and professors, to help boost interest in and preparedness for data analytics careers.
Dato, creator of the popular machine learning platform GraphLab Create, announced today toolkits and training for developers building Intelligent Applications.
In this special feature, Daniel D. Gutierrez, Managing Editor of insideBIGDATA provides a number of free educational resources designed for budding data scientists to gain a foundation in mathematics.
In this special feature, Daniel D. Gutierrez, Managing Editor of insideBIGDATA discusses a question on many people’s minds these days – is an advanced degree required to become a data scientist and if so, what programs are available?