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Machine learning to predict earthquakes
Table of Contents Introduction Existing methods of dealing with earthquake events Machine learning to help scientists better understand earthquakes Chinese…
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The Perfect AI lie Detector
Table of Contents Introduction Faults of the polygraph and other lie detector methods AI Lie detector Concluding Remarks 1.…
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Highlights of the 2019 NeurIPS Conference
Table of Contents Introduction Highlights of NeurIPS Concluding Remarks Introduction The 2019 Neural Information Processing System (NeurIPS) conference took place…
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Weight Initialization in Pytorch
PyTorch is a powerful release from Facebook that enables easy implementation of neural networks with great GPU acceleration capabilities. PyTorch…
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Stochastic Gradient Descent Tensorflow
Machine learning consists of machines learning patterns by minimizing differences between what it thinks the right answer is to the…
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Pytorch Sequential Model: What Is It?
The power of neural networks is no mystery. With increasing data and increasing compute, where the tools that we use…
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Advantages of Neural Networks
Unless you’ve been living under a rock for the last five years, you have likely heard about neural networks. Despite…
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Affect Recognition and its Use Today in Machine Learning
Table of Contents Introduction Background of affect recognition Uses of affect recognition Amazon Rekognition VCV.ai and AllyO HireVue Banning the…
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DataRobot acquires Data Processing Startup, Paxata.
Table of Contents Introduction Machine learning flow Background of DataRobot How the acquisition of Paxata will help DataRobot Concluding Remarks…
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Fighting Fraud with Machine Learning
Table of Contents Introduction Entities fighting fraud Government fighting fraud Financial Institutions Tech Companies Ways of fighting fraud with machine…
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