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A Quick Introduction to PyTorch: Using Deep Learning for Stock Price Prediction
by Jo-Fai Chow February 23, 2022 H2O AI Cloud Neural Networks Technical Technical Posts Tutorials

Torch is a scalable and efficient deep learning framework. It offers flexibility and speed to build large scale applications. It also includes a wide range of libraries for developing speech, image, and video-based applications. The basic building block of Torch is called a tensor. All the operations defined in Torch use a tensor. Ok, let’s […]

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Brain Pattern
Summary of a Responsible Machine Learning Workflow
by Patrick Moran March 20, 2020 Data Science Deep Learning Machine Learning Machine Learning Interpretability Neural Networks Python Responsible AI

A paper resulting from a collaboration between H2O.AI and BLDS, LLC was recently published in a special “Machine Learning with Python” issue of the journal, Information (https://www.mdpi.com/2078-2489/11/3/137). In “A Responsible Machine Learning Workflow with Focus on Interpretable Models, Post-hoc Explanation, and Discrimination Testing,” coauthors, Navdeep Gill, Patrick Hall, Kim Montgomery, and Nicholas Schmidt compare model accuracy […]

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