In the blog “Data Science ‘Paint by the Numbers’ with the Hypothesis Development…,” I introduced the Hypothesis Development Canvas as a tool for linking an ...
This article was posted by Dean Attali. Dean is currently an R-Shiny consultant. Shiny is a package from RStudio that can be used to build interactive web pages with R....
Most of the literature we find on machine learning talks about two types of learning techniques – supervised and unsupervised. Supervised learning is where we have a ...
By Ajit Jaokar and Cheuk Ting Ho. Exclusively for Data Science Central members, with free access. You can download this book (PDF) here. Introduction Enterprise AI: An ...
In this latest Data Science Central webinar, we will cover the principles for training your neural network including activation and loss functions, batch sizes, data norm...
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...
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...
Back to the basics. Here we are dealing with the oldest data set, created billions of years ago — the set of integers — and mostly the set consisting of two n...
This resource is part of a series on specific topics related to data science: regression, clustering, neural networks, deep learning, decision trees, ensembles, correlati...
Contributed by David Richard Steinmetz. He enrolled in the NYC Data Science Academy 12-week full time Data Science Bootcamp program taking place between July 5th to Sept...