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GANs Need Some Attention, Too
Self-Attention Generative Adversarial Networks (SAGAN; Zhang et al., 2018) are convolutional neural networks that use the self-attention paradigm to capture long-range spatial relationships in existing images to better synthesize new images.
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OpenAI’s GPT-2: the model, the hype, and the controversy
OpenAI recently released a very large language model called GPT-2. Controversially, they decided not to release the data or the parameters of their biggest model, citing concerns about potential abuse. Read this researcher's take on the issue.
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Comparing MobileNet Models in TensorFlow
MobileNets are a family of mobile-first computer vision models for TensorFlow, designed to effectively maximize accuracy while being mindful of the restricted resources for an on-device or embedded application.
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Top 7 Data Science Use Cases in Travel
To satisfy all the needs of the growing number of consumers and process enormous data chunks, data science algorithms are vital. Let’s consider several of widespread and efficient data science use cases in the travel industry.
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Deconstructing BERT: Distilling 6 Patterns from 100 Million Parameters
Google’s BERT algorithm has emerged as a sort of “one model to rule them all.” BERT builds on two key ideas that have been responsible for many of the recent advances in NLP: (1) the transformer architecture and (2) unsupervised pre-training.
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 4 Reasons Why Your Machine Learning Code is Probably Bad
Your current ML workflow probably chains together several functions executed linearly. Instead of linearly chaining functions, data science code is better written as a set of tasks with dependencies between them. That is your data science workflow should be a DAG.
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Python Data Science for Beginners
Python’s syntax is very clean and short in length. Python is open-source and a portable language which supports a large standard library. Buy why Python for data science? Read on to find out more.
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Are BERT Features InterBERTible?
This is a short analysis of the interpretability of BERT contextual word representations. Does BERT learn a semantic vector representation like Word2Vec?
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Top 10 Data Science Use Cases in Telecom
In this article, we attempt to present the most relevant and efficient data science use cases in the field of telecommunication.
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Natural Language Processing for Social Media
Marketing scientist Kevin Gray asks Dr. Anna Farzindar of the University of Southern California about Natural Language Processing and how it is used in social media analytics.
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4 Reasons Why Your Machine Learning Code is Probably Bad
Python Data Science for Beginners