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...
The Waring conjecture – actually a problem associated with a number of conjectures, many now being solved – is one of the most fascinating mathematical proble...
This article comes from DeepLearningPatterns.. Deep Learning can be described as a new machine learning toolkit that has a high likelihood to lead to more advanced form...
Pandas is a Python package providing fast, flexible, and expressive data structures designed to make working with “relational” or “labeled” data both easy and ...