Scikit-learn, PyTorch, and TensorFlow remain core tools for structured data and deep learning tasks.New libraries like JAX, ...

Using multi-kernel learning to deal with the non-linear relationship of data has become a new research topic in the field of multi-view subspace clustering. However, the existing methods have the ...

Key Takeaways The transition requires upskilling in Python, statistics, and machine learning.Practical experience with ...

Isolation Forest detects anomalies by isolating observations. It builds binary trees (called iTrees) by recursively ...

This leading textbook provides a comprehensive introduction to the fields of pattern recognition and machine learning. It is aimed at advanced undergraduates or first-year PhD students, as well as ...

Based on these cluster characteristics acquired by machine learning (ML) method, a novel UAV-to-ground communication channel model is proposed, and a four-state Markov chain is also introduced to ...