Today, data scientists are generally divided among two languages — some prefer R, some prefer Python. I will not try to explain in this article which one… Read More »Best practices of orchestrating Python and R code in ML projects
Summary: As your data lake grows larger and your user group more diverse you will need these tools that automatically catalog data and control access… Read More »Deep Diving the Data Lake – Automatically Determining What’s In There
This is part of a new series of articles: once or twice a month, we post previous articles that were very popular when first published.… Read More »17 Great Blogs Posted in the last 12 Months
“The problem is that, in many cases, big data is not used well. Companies are better at collecting data – about their customers, about their… Read More »5 Steps to Building a Big Data Business Strategy
There’s no doubt that AI has usurped big data as the enterprise technology industry’s favorite new buzzword. After all, it’s on Gartner’s 2017 Hype Cycle… Read More »For AI to Change Business, It Needs to Be Fueled with Quality Data
I don’t know who produced this image, but I’ve found it posted on the Deep Learning group on Facebook. Here we go: For more articles on… Read More »Deep Learning versus Machine Learning in One Picture
Here is a guest blog by Kevin Gray . Kevin has been a marketing scientist for more than 25 years and my background covers dozens of… Read More »Is Data the New Oil?
Here is a guest blog by Hayden Beck – Hayden has written content for some of the biggest logos in the Silicon Slopes (Utah) and… Read More »Qualities of a Well-Built ETL Tool
As I have written extensively before, the primary purpose of any data you collect or manage is to derive actionable insights from that data using… Read More »Edge Analytics – What, Why, When, Who, Where, How
Guess whose twitter handle gives this word cloud? Enough hints present in there. You are right, that is Andrew Ng tweeting about his new Deep… Read More »Create Twitter WordCloud with just 40 lines of RCode
