IBM Watson Does Your Taxes: Question Answering Machine versus Expert System
Summary: IBM’s Watson now to do your taxes at H&R Block? This is a good opportunity to explore the differences between Question Answering Machines (Watson) and ...
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How to Clean Your Data Quickly in 5 Steps
Let’s face it – cleaning data is a waste of time. If only the data had been collected and entered carefully in the first place, you wouldn’t be faced with days of d...
Yet another introduction to Neural Networks
There are many great tutorials on neural networks that one can find online nowadays. Simply searching for the words “Neural Network” will produce numerous results on...
The Data Science Behind AI
Summary: For those of you traditional data scientist who are interested in AI but still haven’t given it a deep dive, here’s a high level overview of the data scien...
Book: Python Data Science Handbook
Jupyter notebook content for my OReilly book, the Python Data Science Handbook. This repository contains the full listing of IPython notebooks used to create the book, i...
Gaining the Context from the Deconstruction of Metrics
I find myself habitually using the term “metrics.” When I first started blogging, I normally used this term only in reference to performance metrics. These ar...
New Book: Analytics — How to Win with Intelligence
Learn how big data and other sources of information can be transformed into valuable knowledge – knowledge that can create incredible competitive advantage to prope...
DSC Webinar Series: Maximize Value of Your IoT Data
The digital universe is expanding. Not just the data collected, but also the devices that generate that data. It is estimated there will be over 20x connected devices per...
Women Influencers In Data
Few months ago, I wrote an article about the influencers in big data. The article resonated with many and almost all appreciated it. But that’s not the point. Soon afte...
Advances in Machine Learning Research
This paper was written by Bojan Ploj. Bojan is interested in machine learning, specialy in MLP learning algorithms. Abstract During the last twenty years, gradient-bas...