Bob Rudis (@hrbrmstr) is a famed expert, author and developer in Data Security and the Chief Security Data Scientist at Rapid7. Bob also creates the most deliciously vivid images of his meals documented by the #nom hashtag. I’m going to use a similar method used in my previous projects (... [Read more...]

Bob Rudis (@hrbrmstr) is a famed expert, author and developer in Data Security and the Chief Security Data Scientist at Rapid7. Bob also creates the most deliciously vivid images of his meals documented by the #nom hashtag. I’m going to use a similar method used in my previous projects (... [Read more...]

Working with sparse matrices is a big part of my day. Social networks are inherently sparse, so sparse matrices are the best buds you can get when representing large networks as adjacency matrices.1 As so, I usually find myself trying to take advantage of their structure as, contrasting dense matrices, ... [Read more...]

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Problem overview This article will be divided into a series of posts. In this post, I will explain the basic concepts behind convolutional neural networks and how to build them using Keras. In the next post, I will focus on improving the perfor... [Read more...]

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BNOSAC is happy to announce the release of the udpipe R package (https://bnosac.github.io/udpipe/en) which is a Natural Language Processing toolkit that provides language-agnostic 'tokenization', 'parts of speech tagging', 'lemmatization', 'morphological feature tagging' and 'dependency parsing' of raw text. Next to text parsing, the package also ... [Read more...]

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[This article was first published on Digital Age Economist on Digital Age Economist, and kindly contributed to R-bloggers]. (You can report issue about the content on this [Read more...]

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Deep Learning with TensorFlow Deep learning, also known as deep structured learning or hierarchical learning, is a type of machine learning focused on learning data representations and feature learning rather than individual or specific tasks. Feature learning, also known as representation learning, can be supervised, semi-supervised or unsupervised. Deep learning ... [Read more...]

Another small maintenance release, version 0.6.14, of the digest package arrived on CRAN and in Debian today. digest creates hash digests of arbitrary R objects (using the 'md5', 'sha-1', 'sha-256', 'crc32', 'xxhash' and 'murmurhash' algorithms) perm... [Read more...]

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One of the highest pleasures for an academic teacher is to be surprised by an extraordinary student’s project or homework. Something that greatly exceeds expectations. I’ve reoriented my courses in a way to make such surprises frequent. The second project in my Data Visualisation classes was related to ... [Read more...]