Why is Feature Scaling Important in Machine Learning? Discussing 6 Feature Scaling Techniques
Standardization, Normalization, Robust Scaling, Mean Normalization, Maximum Absolute Scaling and Vector Unit Length Scaling
Standardization, Normalization, Robust Scaling, Mean Normalization, Maximum Absolute Scaling and Vector Unit Length Scaling
Use 3D to visualize matrix multiplication expressions, attention heads with real weights, and more.
What is Attention, and why is it used in state-of-the-art models? This article discusses the types of Attention and walks you through their implementations.
Artificial Intelligence (AI) and Machine Learning (ML) have become transformative technologies across various industries. To keep up with the fast-paced advancements in the field, professionals and enthusiasts alike seek comprehensive training courses that provide in-depth knowledge and hands-on experience. In this article, we have curated a list of 100 training courses on AI and ML, covering various topics, skill levels, and application areas. Whether you are a beginner or an experienced practitioner, these courses will help you stay at the forefront of AI and ML developments.
This article discusses GPT-2 and BERT models, as well using knowledge distillation to create highly accurate models with fewer parameters than their teachers
Background & State of the Art