Posts

Showing posts with the label deep learning

Code: Pinterest as a Publication Channel for Data Analytics

Image
More as an experiment, rather an attempt at sharing code and ideas, I created a Pinterest board devoted to my personal data analytics work, done with Python, R, or F#, as well as reviews of books, and was quite surprised with the result. The graphics could do with optimization, but otherwise...

Deep Learning and Toolkits

Image
As part of reading Fundamentals of Deep Learning: Designing Next-Generation Machine Intelligence Algorithms by Nikhil Buduma , I was expecting to work through some of the code examples with my own data, and for the examples, it recommended TensorFlow , which brings up competing alternatives, a primary one being Microsoft Cognitive Toolkit . Over the next few weeks, I will start exploring both in Python, as well as publishing some of the related work. A minor note, the darksigma/Fundamentals-of-Deep-Learning-Book: Code companion to the O'Reilly "Fundamentals of Deep Learning" book is available on GitHub.