Big Data Visualization: How AR and VR Is Transforming Data Interpretation
Every day, we create 2.5 quintillion bytes of data and over the last two years alone, we have created over 90% of the world’s data! The amount of data we produce is sta...
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Data Analytics. AI. ML. What’s the Difference?
There are transformative technologies in the world today with consistent effect and reliability in their promise to alter or change the ecosystem. Industries have transfo...
How To Become A Successful R Programmer?
R is a software programming language developed in 1993. In New Zealand, two professors of Auckland University Ross Ihaka and Robert Gentleman first conceived R. The mos...
True Automation Needs the Master Technology Solution: A Data Scientist’s Perspective
The information technology (IT) infrastructure in traditional organizations, particularly in the insurance industry, typically contains three components: 1) the legacy sy...
Dean of Big Data’s Favorite Infographic Picks of 2018
My last University of San Francisco School of Management class of the semester is coming up this week. However instead of a normally boring presentation from me to cap th...
New Book: Machine Learning with R
Independently published (November 20, 2018). 78 pages. This book intends to provide an overview of Machine Learning and its algorithms & models with help of R softwar...
The Hundred-Page Machine Learning Book
New book, in progress. By Andriy Burkov, Machine Learning Team Leader at Gartner. The following chapters are currently available: Foreword Chapter 1: Introduction Part I...
Big Data: Visualization Tools to Help Harness the Power of Big Data
Big data is all the rage, but simply collecting it won’t help much. These data visualization tools help you make sense of it all. The rise of big data has ushered i...
An Application of Data Science and Mathematics in Finance
Imagine that one day, you see people are queuing up in front of Bank A; so you ask the staff at the counter, you are told that they are offering anyone (regardless of the...
Things that Aren’t Working in Deep Learning
Summary: This may be the golden age of deep learning but a lot can be learned by looking at where deep neural nets aren’t working yet. This can be a guide to calmi...