Text analytics recently has become a useful adjunct to other machine learning methods, of great interest to both data scientists and big data engineers. With “Practical Text Analytics: Interpreting text and unstructured data for business intelligence,” Dr. Steven Struhl provides timely and lucid discussion of the topic.
Many times we data scientists, not being statisticians in the strictest sense, hold the fear we may commit some kind of statistical faux paux. Fear no more! With the release of a probing new book “Statistics Done Wrong,” by Alex Reinhart, we have a curious road map for avoiding statistical fallacies.
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 […]
Download your FREE copy of “Hadoop For Dummies” compliments of IBM Platform Computing! This new learning resource can help enterprise thought leaders better understand the rising importance of big data, especially the Hadoop distributed computing platform. Hadoop for Dummies can help you kick-start your company’s big data initiative.
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.