Summary: There are several things holding back our use of deep learning methods and chief among them is that they are complicated and hard. Now there are three platfo...
Pandas is a Python package providing fast, flexible, and expressive data structures designed to make working with “relational” or “labeled” data both easy and ...
Guest blog post by Zied HY. Zied is Senior Data Scientist at Capgemini Consulting. He is specialized in building predictive models utilizing both traditional statistic...
A poll released recently showed Python increasing its lead over R as the language of choice for analytics professionals. Setting aside questions of the representativene...
This post came out of the inspiration I got after I read Rafael Knuth’s Learning Sabbatical. I read part 1 of his sabbatical too and I felt compelled to put my expe...
This article was written by Kate Crawford & Vladan Joler. Below is an extract, featuring the first three sections of this long article (21 sections total.) Link to t...
This article was written by Adit Deshpande on his own blog. This is the 3rd installment of a new series called Deep Learning Research Review. Every couple weeks or so, I...
Summary: Where do we look to see the most advanced chatbots and the most complete application of AI? Chatbots designed as ‘artificially intelligent psychological co...
For a person being from a non-statistical background the most confusing aspect of statistics, are always the fundamental statistical tests, and when to use which. This bl...
Summary: IBM’s Watson QAM (Question Answering Machine), famous for its 2011 Jeopardy win was supposed to bring huge payoffs in healthcare. Instead both IBM and its ...