Great, short visual summary produced by Kirk Borne. Highlights: Computational Ask the right questions Design thinker Willingness to fail Participate in competitions Team ...
I was recently asked to conduct a 2-hour workshop for the State of California Senior Legislators on the topic of “Big Data, Artificial Intelligence and Privacy.” Hono...
When it comes to Data Science, the most recurring topic is modeling. Quite a few articles out there talk about data preparation and only a bunch about how to communicate ...
Data science is an interdisciplinary field of scientific processes, methods, and systems. It is used to extract insights from data in many forms, either structured or uns...
Do the usual (attending data camps if you don’t have any experience), and you will go nowhere due to competition doing the exact same thing as you. Do the unusual, ...
I’m reposting this blog (with updated graphics) because I still get many questions about the difference between Business Intelligence and Data Science. Hope this bl...
Another question recently posted on social networks. Below is my answer, with link to the original post. The main reason is the exponential growth of data science candi...
Summary: There are several approaches to reducing the cost of training data for AI, one of which is to get it for free. Here are some excellent sources. Recently we w...
Python and R are the two most commonly used languages for data science today. They are both fully open source products and completely free to use and modify as required ...
In the twentieth century, oil was the most valuable resource – but not anymore. In today’s digital age data is the new oil. It will play a similar, perhaps bigger rol...