A recent MIT tech review article suggests that the era of deep learning is coming to an end. According to the article: Our study of 25 years of artificial-intelligence research suggests the era of deep learning may come to an end. Is this the case? We say…. eh. Probably not. The review raises some solid points, but we’re not entirely sure … Read More
Viral social media “challenges,” memes, and gimmicks have taken over our feeds in recent years. The term “challenge” is used loosely though since these viral sensations aren’t so much challenging as they are just unique ways to spice up your social media presence. But are they also signs of the impending AI apocalypse? Let’s look further. True, these events range … Read More
When you see a photo, your brain automatically detects what’s pictured. People, animals, trees, and more. But long before your brain could recognize these things, it had to learn what they looked like. Your brain did this by seeing them over and over until they became recognizable items. This is essentially how an object detection algorithm works. However, it takes … Read More
A Google research scientist, Steffen Rendle, introduced Factorization Machines in one of his papers in 2010. As a result, the machine learning community quickly took notice. Today, factorization machines have become a built-in algorithm in Amazon SageMaker. For many reasons, it has therefore become a popular and impactful method for making predictions and recommendations. Understanding Factorization Machines Factorization machines are … Read More
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We’ve done a little bit of work parsing details from Amazon Web Services’ release notes, announcements and just general attendance numbers and we thought we’d share some cool insights! Here’s what happened at this year’s AWS re:Invent re:Invent Attendance Our first infographic comes from a really simple set of data – attendance numbers year over year. While it’s very simple, it’s … Read More
This is a follow-up to our post yesterday. We attempted to leverage spaCy and TextBlob to perform Natural Language Processing (NLP). What we were hoping was to automate a live blog of the AWS keynote this morning. Truth be told, it was an aggressive goal, but we learned a lot in the process. To follow up, we thought we’d process some … Read More
We’ve spent a lot of time working with natural language processing (NLP) processes and timing lined up for us to try out some fairly straightforward demos of audio transcription and named entity identification. We originally set out to build a model to classify and identify entities in AWS’ release notes – and we’re pretty happy with those results. We’ll post … Read More