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

TensorFlow, Spark MLlib, Scikit-learn, PyTorch, MXNet, and Keras shine for building and training machine learning and deep learning models. Topics Spotlight: AI-ready data centers ...

Uber is one of those organizations that rely heavily on data. Each day, millions of trips take place in 700 cities across the world, generating information on traffic, preferred routes, estimated ...

As for scikit-learn, with more than 45,000 stars on GitHub, this Python module is widely used by machine learning teams working on tabular data. It can be used for model fitting, predicting, cross ...

Scikit-Learn: A comprehensive ML library that provides tools for model building, training, and evaluation. TensorFlow and Keras: These frameworks are indispensable for deep learning projects, ...

At GTC Europe, NVIDIA launched a new data science platform for enterprise, built on RAPIDS - our solution for GPU-accelerating the end to end machine learning workflow. This platform enables an ...