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Yahoo supercharges TensorFlow with Apache Spark 

Yahoo, model Apache Spark citizen and developer of CaffeOnSpark, which made it easier for developers building deep learning models in Caffe to scale with parallel processing, is open sourcing a new project called TensorFlowOnSpark. The pairing of Spark and TensorFlow should make the deep learning framework more attractive to developers who are creating models that need to run on large computing clusters. Fo ...

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Research Blog: Using Machine Learning to predict parking difficulty

"When Solomon said there was a time and a place for everything he had not encountered the problem of parking his automobile." -Bob Edwards, Broadcast Journalist Much of driving is spent either stuck in traffic or looking for parking. With products like Google Maps and Waze, it is our long-standing goal to help people navigate the roads easily and efficiently. But until now, there wasn’t a tool to address th ...

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Beyond vectors: efficiency in Natural Language Processing

NYU MSDS student Raul Delgado Sanchez talks diffusion maps When you text a friend saying ‘I’ll fall you later’, how does your iPhone know to correct ‘fall’ to ‘call’? Auto-correct owes its prowess to a field that continues to gain paramount importance among computer scientists, and is an especially lively area of study at our very own Center for Data Science: Natural Language Processing (NLP). Generally spe ...

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SAPVoice: How to Solve IoT’s Big Data Challenge with Machine Learning

Machine learning will come of age this year, moving from the research labs and proof-of-concept implementations to cutting-edge business solutions. Along the way, it will help power innovations, such as autonomous vehicles, precision farming, therapeutic drug discovery and advanced fraud detection for financial institutions. Machine learning intersects with statistics, computer science and artificial intell ...

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Beyond vectors: efficiency in Natural Language Processing – Medium

When you text a friend saying ‘I’ll fall you later’, how does your iPhone know to correct ‘fall’ to ‘call’? Auto-correct owes its prowess to a field that continues to gain paramount importance among computer scientists, and is an especially lively area of study at our very own Center for Data Science: Natural Language Processing (NLP). Generally speaking, part of NLP research involves calculating ‘the joint ...

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