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Book Review: The Manga Guide to Regression Analysis

Last year, I wrote a review of a useful book that got students up to speed with a key mathematical ingredient of machine learning – linear algebra: The Manga Guide to Linear Algebra. No Starch Press (an excellent source of technical books) just came out with a follow-up title: The Manga Guide to Regression Analysis.

Book Review: The Book of R by Tilman Davies

A fantastic new book just landed on my desk, “The Book of R: A First Course in Programming and Statistics” by Tilman M. Davies from No Starch Press. I’ve been looking for a book like this for some time – to use with the introductory data science and machine learning course I teach.

Why Business Intelligence is Key to Competitive Advantage

Our friends over at Boston University’s Master of Science in Computer Information Systems Online Program put together the compelling infographic below that highlights why Business Intelligence (BI) is the key to competitive advantage for enterprises today.

The Science of Data-Driven Storytelling

The video presentation below captures the highlights of the all-day data-driven storytelling event produced by DataScience, Inc. and the National Science Foundation (NSF)’s West Big Data Innovation Hub.

New Qlik Academic Program Curriculum Helps Students Advance Analytical and Data Literacy Skills

Qlik® (NASDAQ: QLIK), a leader in visual analytics, today announced the expansion of the Qlik Academic Program with its new Data Analytics Curriculum.

The Impact of Big Data on Business Efficiency

The compelling infographic below from our friends at NJIT shows just how much big data matters, and that there’s no question that the current trends moving into the future suggest that this will only continue.

Book Review: Introduction to Linear Algebra by Gilbert Strang

In this book review, I take a close look at the 5th edition of “Introduction to Linear Algebra” (Wellesley-Cambridge Press) by MIT mathematics professor Gilbert Strang. This book is a must-have for any serious data scientist.

Data Scientists Don’t Feel Prepared for the Future

In this special guest feature, PK Agarwal, Regional Dean and CEO at Northeastern University-Silicon Valley, discusses the need to train new data scientists, and the value of continuing education for those already employed in the field.

Big Data – From Cost to Profit Center

In this contributed article by Christian Hasker, Director of DataStax Academy at DataStax, we’ll take a look at how to commoditize big data skills over time and enable CIOs to retrain their staff at a much lower cost, ensuring that the lack of skills in the market doesn’t continue to be a cost inhibitor to adopting big data technologies.

MapR Announces Free Stream Processing On-Demand Training for Real-time Analytics and IoT Applications

MapR Technologies, Inc., provider of the Converged Data Platform, announced at Kafka Summit 2016 it is now offering stream processing training via MapR Academy’s free On-Demand Training program. The new training enables Apache Kafka developers to extend their real-time analytics and Internet of Things (IoT) applications.