This blog post is my attempt to give an overview of the sub-field of machine learning interpretability. I do not intend for this post to be necessarily comprehensive, but my goal is to review conceptual frameworks, existing research, and future directions... (more…)
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Node.js is one of the most popular frameworks for writing server side applications now, and machine learning is rapidly gaining popularity. More and more pro... (more…)
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The ImageNet dataset contains 14,197,122 annotated images according to the WordNet hierarchy. Since 2010 the dataset is used in the ImageNet Large Scale Visual Recognition Challenge (ILSVRC), a benchma... (more…)
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Machine Learning, Deep Learning, NLP and BigData all in one place.
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Getting machine learning software into production is hard. To succeed where others fail, you’ll need to hire ML engineers and avoid getting stuck in a PoC. And more ... (more…)
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