In this paper, we explore the applicability of selected machine learning models to classify incoming flows as elephants or mice on the first packet, using Internet Protocol (IP) and transport layer ...

CFD have the ability to generate accurate wind flow estimates in complex terrain, but can be difficult to properly initialize, have long computational run times and are expensive. These factors can ...

Biases in machine learning have real-world consequences; it helps to know how to find and defeat such bias where it might exist. Never assume that clean (readable, consistent) data is unbiased data.

TensorFlow 2.0, released in October 2019, revamped the framework significantly based on user feedback. The result is a machine learning framework that is easier to work with—for example, by ...

TensorFlow Machine Learning Projects teaches you how to exploit the benefits—simplicity, efficiency, and flexibility—of using TensorFlow in various real-world projects. With the help of this book, you ...