In this article, I clarify the various roles of the data scientist, and how data science compares and overlaps with related fields such as machine learning, deep learning, AI, statistics, IoT, operations research, and applied mathematics. As data science is a broad discipline, I start by describing the different types of data scientists that one may encounter in any business setting: you might even discover that you are a data scientist yourself, without knowing it. As in any scientific…Continue
Predictive Analytics can be very helpful: algorithms can help retailers decide what quantities of items to order, detect instances of financial fraud or help allocate resources to control the spread of a disease. However, while these predictive tools are helping change lives for the better and provide meaningful insights, we must remember not to let the…Continue
If you haven’t started using artificial intelligence in your business, you’re falling behind on the curve. Many business owners today are leveraging AI, whether they are aware of it or not. This is done through everyday business software suites that integrate machine learning and automation to carry out such functions as email communications, voice recognition and response and predictive analysis.
The extent to which businesses employ AI solutions needs to be increased if they are to…Continue
Added by Derek Iwasiuk on January 2, 2017 at 2:00am — No Comments
Last year before Christmas at Hochschule München, Fakultät für Informatik and Mathematik I presented about Deep Learning (nbviewer, github, pdf).
Mainly concepts (what's…Continue
The diagram above was produced by my father in an effort to predict lotto numbers. Usually in a given year, I read at least a few blogs on using data science to help improve a person’s odds gambling. Gambling might include casino games, lottery tickets, and perhaps even stocks. On the other hand - and I admit that I might be an oddball in this area - I…Continue