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Sumo Logic, the next generation machine data intelligence company, has announced availability of Transaction Analytics as a component of the Sumo Logic analytics platform to deliver deep visibility into causal relationships across distributed IT systems in order to better inform business decisions.
In this special guest feature, Al Nugent, co-author of the guide “Big Data for Dummies,” looks back at some of the definitions and predictions from the book and see if they still have relevance in today’s technology landscape.
In the spirit of the importance of bootstrap methods to contemporary machine learning, I’d like to review several prominent books on the subject. Some of the titles are relatively new, while others can be considered “classics.”
True to form as the original “curious character,” legendary physicist Richard Feynman often broke out of his favored field of expertise to give his own special slant on other areas. One important case in point was when he gave a course at Caltech from 1983-1986 called “Potentialities and Limitations of Computing Machines.”
In “Think Bigger: Developing a Successful Big Data Strategy for Your Business” (AMACOM, April 2014), author Mark van Rijmenam offers real-world insights and clear explanations to make getting a firm grasp on Big Data manageable for business leaders at all levels, in companies of all sizes and shapes.
“Data Analytics Handbook” is a new resource meant to inform young professionals about the field of data science. Written by a group of students at UC Berkeley: Brian Liou, Tristan Tao, and Elizabeth Lin. Edition One of the book includes in-depth interviews with Data Scientists & Data Analysts.
A new book came across my desk the other day that I really enjoyed in terms of its timeliness for the audience of Big Data decision makers trying to make sense of this new technology. “Data Crush – How the Information Tidal Wave is Driving New Business Opportunities,” by Christopher Surdak aims to spark a widespread business movement beyond the pressing goal of surviving the data tsunami.
Microsoft Research, the research arm of the software giant, is a hotbed of data science and machine learning research. Microsoft has the resources to hire the best and brightest researchers from around the globe. A recent publication is available for download (PDF): “Deep Learning: Methods and Applications” by Li Deng and Dong Yu, two prominent researchers in the field.