Tag Archives: Apache Spark

The Year in Machine Learning (Part Two)

This is the second installment in a four-part review of 2016 in machine learning and deep learning. Part One, here, covered general trends. In Part Two, we review the year in open source machine learning and deep learning projects. Parts Three and Four will cover commercial machine learning and deep learning software and services. There are thousands of open source projects

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Roundup 11/23/2016

Machine learning (ML) and deep learning (DL) content from the past 24 hours. Note to readers: owing to the U.S. Thanksgiving holiday, I do not plan to publish a Roundup on Thursday, November 24 or Friday, November 25.  AWS Chooses MXNet Six months after releasing DSSTNE, an internally developed deep learning framework, AWS announces plans to standardize on MXNet. In

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Roundup 11/9/2016

Machine learning (ML) and deep learning (DL) content from the past 24 hours. Fundamentals — On the Algorithmia blog, Charlie Crawford writes an excellent introduction to deep learning. He clearly understands the relationships among ML/DL/AI, presents a good intro to neural networks and lists some of the top DL frameworks. My only criticism is that he omits Microsoft’s CNTK/Cognitive Toolkit

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Roundup 11/8/2016

Machine learning (ML) and deep learning (DL) content from the past 24 hours. Plus, a few leftovers from Friday and the weekend. In Harvard Business Review, SAP’s Maxwell Wessel argues that you don’t need Big Data, which tells me that SAP lacks a solution for Big Data. Jeff Catlin of Lexalytics explains why VCs are throwing heaps of money at machine

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