TMCnet

Data Normalization vs. Standardization: What's the Difference and When to Use Each

Data Normalization vs. Standardization is one of the most foundational yet often misunderstood topics in machine learning and ...
IEEE

Carbon Emission Quantification of Machine Learning: A Review

Abstract: The rapid growth of machine learning (ML) technologies has raised significant concerns about their environmental impact, particularly regarding energy consumption and carbon emissions. This ...
IEEE

sQUlearn: A Python Library for Quantum Machine Learning [Focus: Quantum Software and Its Engineering]

Abstract: sQUlearn introduces a user-friendly, noisy intermediate-scale quantum (NISQ)-ready Python library for quantum machine learning (QML), designed for seamless integration with classical machine ...
GitHub

State-of-the-art Machine Learning for JAX, PyTorch and TensorFlow

📝 Text, for tasks like text classification, information extraction, question answering, summarization, translation, and text generation, in over 100 languages. 🖼️ Images, for tasks like image ...