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 ...

The technology, in private beta since the summer of 2021, automates many skills needed to move machine learning models into production, according to the company, helping data science and machine ...

The structures built around your data -- and the way your data is structured -- influences the extent to which you can effectively use machine learning. Data architecture applies "specifically to ...

But when you need to have real online learning algorithms and inferences in realtime for millions of simultaneous clusters and respond in less than 500 ms, the topic does not only involve ...

Design thinking is critical for developing data-driven business tools that surpass end-user expectations. Here's how to apply the five stages of design thinking in your data science projects.

Discover the ultimate roadmap to mastering machine learning skills in 2025. Learn Python, deep learning, and more to boost ...

Gartner’s Magic Quadrant for data science and machine learning platform 2021 includes AWS, Google, Microsoft, IBM, SAS MathWorks, Databricks, Alteryx and H2O.ai.

This course offers students a practical introduction to using Machine Learning algorithms, tools, and techniques for solving problems that fall under the umbrella of Data Science. It is structured ...

A new computing architecture enables advanced machine-learning computations to be performed on a low-power, memory-constrained edge device. The technique may enable self-driving cars to make ...

The model is based on a two-step Deep Operator Network (DeepONet) architecture that includes symmetry-preserving features to handle the geometric characteristics of architected materials. The paper ...