Predicting Object Bounding Boxes and Road Map Layouts in a Traffic Environment
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Object and road detection given a real-time traffic environment.
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Object and road detection given a real-time traffic environment.
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Building a reporting dashboard to display the effects of COVID-19 globally.
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Examining the difference in how prominent political figures and parties from the United States and the United Kingdom use official addresses and manifestos.
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Three approaches to determine batch acceptability.
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Least squares generative adverserial networks (LSGANs) for image generation.
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Market Segmentation for fashion retailers: validating trend adoption strategies.
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Building and evaluating a recommender system using PySpark for user listening data via collaborative filtering and alternating least squares (ALS).
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The parallel distributed processing approach to semantic cognition: a comparative extension to a complex domain.
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End-to-end implementation and training of neural translation machine models.
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Predicting whether NFL teams will run or pass on third down.
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Performing ‘spam’ or ‘ham’ text classification on SMS messages.
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Constructing optimal recurrent and convolutional neural network models that can take on the Stanford Natural Language Inference (SNLI) task.
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Bag of words document classification using IMDB large movie review dataset.
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