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

Researchers are using machine learning, symbolic regression, and high-performance computing to explore and classify string ...

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

Image recognition and classification have taken a shift from the conventional detection process by humans to detection by Machine Learning (ML) and Transfer Learning (TL). These two approaches are ...

Alibaba Cloud has developed a new cluster management system called Eigen+ that achieved a 36% improvement in memory ...

The paper bases on the theory of deep learning, uses the Scikit-learn machine learning framework and logistic regression algorithm, combines with supervised machine learning. Through Fourier transform ...

This paper investigates the effect of pre-applying an unsupervised classification in the performance of both temperature and salinity inversion. Two methodologies were explored: clustering based ...