Functional Release Update: Multilingual, you?

There’s a Swedish couple that lives in my building, and every now and then the wife will turn to her husband and ask him, “What clock is it?”. Turns out “clock” and “the time” are the same word in Swedish, and while this anecdote proves flubbed semantics can be charming, it also reminds you that you can learn a lot about the nature of language processing by taking your headphones off in the elevator.

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Functional release update: Sensibill Receipts leverages multi-brain technology

Our receipt management engine is powered by machine learning techniques that allow us to have the most accurate, efficient, and scalable solution on the market. (For those who need a refresh on how we do this, refer to Part I and Part II of our machine learning series.) To be brief, these techniques allow our technology…

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Data research: Building the best receipt management app

As a Data Research Analyst, I help train our model to read receipts the same way humans do.  In many ways, this is no different than teaching a child how to read. Think of the machine as a human brain – they both have a network of neurons, which stores information along the way; and…

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Start[up] with security

Information security is important, most people wouldn’t argue that. However, startups often don’t think about security until they have to. Most startups are already over capacity working on their minimum viable product (MVP) and finding product market fit. That leaves little time to even think about security. Usually, they’ll decide to invest in security because…

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Designing for accessibility: 4 overlooked features in mobile banking

Why is accessibility important for mobile banking? According to the World Health Organization, there are an estimated one billion people worldwide that have some type of mental, physical, or sensory limitation that could impact their ability to fully use technology. With the population in North America and Europe aging rapidly, coupled with the increasing number…

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Part II: Robots are reading receipts and everything you need to know about deep learning

In Part 1 of this machine learning series, I explained how Sensibill is applying deep learning techniques to read and understand the information presented on a receipt. In Part 2, I’m going to cover the actual architecture of our machine, and explain how Recurrent Neural Networks (RNNs) work. In particular, I want to introduce a type of RNN:…

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Part I: Robots are reading receipts! And everything else you need to know about deep learning

If you’re new to machine learning, interested in working at a machine learning startup, or just want to know more about Sensibill’s tech, then this post is for you. While I love nothing more than talking about supervised sequence labelling and recurrent neural networks, I can appreciate that most people have trouble keeping up. So,…

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