Without any suspense, “An Introduction to Statistical Learning” (ISL) by James, Witten, Hastie and Tibshirani is a key book in the Data Science literature. I would summarize it as a book written by statisticians for non-statisticians. Indeed, while the book “The Elements of Statistical Learning” was heavy on theory and equations, ISL is the practical counterpart. The book is very clear… Continue reading... | 1 Comment
This is a guest post from William Blears, Founder of Perceptive Digital.
There’s been a lot of talk lately about how data is driving online marketing forward. What you don’t often hear is how this same data is empowering customers to make wiser purchasing decisions. I thought it’d be interesting to highlight five ways in which empowered consumers can benefit from an abundance of available data.
Automate This is a journey into the world of anything that can be automated, from stock picking to medical diagnosis. The author, Christopher Steiner, excels in telling stories and bringing interesting anecdotes to the reader. Although focused on the trading world, the book explores topics such as automated music creation, geopolitical analysis and poker playing.
Automate This is about the… Continue reading...
This is a guest post by Jeremy Sutter.
Sometimes, technically minded people feel they are not good candidates for leadership positions. Sometimes, they feel like leadership requires more people skills than they have. However, in the era of big companies and big data, that may be changing. It may be the person with the best information and the best… Continue reading... | 13 Comments
I recently received a copy of The Master Algorithm, written by Pedro Domingos, to review. While I was reading the back cover, my first impression was skepticism. Indeed, Domingos main idea in this book, is the (future) existence of a so called “Master Algorithm” which will outperform any other algorithms for any kind of tasks.
This is a guest post by Khushbu Shah from DeZyre.com.
Internet today as a collective agency is creating 2.5 quintillion bytes of date on a daily basis and nearly 90% of all of our global data has emerged in the past 2 years.