This guide is designed to help you navigate the essential skills needed to become a successful machine learning engineer. Whether you're just starting out or looking to enhance your existing skills, this …

First, we collect 4,443 research papers that contain both SE and deep learning related keywords. Next, we filter the research papers by reading their contents, citations and references. Finally, 98 research …

Today, Deep learning has become one of the most popular and visible areas of machine learning, due to its success in a variety of applications, such as computer vision, natural language processing, and …

Deep Learning for Engineers introduces the fundamental principles of deep learn-ing along with an explanation of the basic elements required for understanding and applying deep learning models.

In the context of deep learning, most regularization strategies are based on regularizing estimators. Regularization of an estimator works by trading increased bias for reduced variance.

Deep learning, on the other hand, completely automates this step: with deep learning, you learn all features in one pass rather than having to engineer them yourself.

Machine Learning – Definition "Giving computers the ability to learn without being explicitly programmed"