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Generally AI Episode 4: Sold out!
In this episode of Generally AI, Meertens and Alford explore the theme of "sold out" and delve into the world of GPUs, hot sauce, and beer. The hosts cover CUDA-enabled GPUs and parallel programming patterns, then explore the parallels between the scarcity of GPUs and Sriracha hot sauce; the historical context of GPU shortages; and how beer and college students can model supply chain dynamics.
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Francesca Lazzeri on Machine Learning for Time Series Forecasting
In the podcast, we speak with Dr. Francesca Lazzeri on machine learning for time series forecasting as the main topic which included automated machine learning and deep learning for time series data forecasting, as well as other emerging trends in machine learning development and operations areas including data science lifecycle.
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Victor Dibia on TensorFlow.js and Building Machine Learning Models with JavaScript
Victor Dibia is a research engineer with Cloudera’s Fast Forward Labs. On today’s podcast, Wes Reisz and Victor Dibia talk about the realities of building machine learning in the browser. The two discuss the capabilities, limitations, process, and realities around using TensorFlow.js.
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Jendrik Joerdening and Anthony Navarro on Self-Racing Cars Using Deep Neural Networks
Jendrik Joerdening and Anthony Navarro describe how a team of 17 Udacity students entered a self-racing car event using a Neural Network built with using Keras and Tensorflow to steer the car and just one front-facing camera.