the missing piece
THE OAK CITY LABS DEVELOPMENT BLOG
the missing piece
THE OAK CITY LABS DEVELOPMENT BLOG
the missing piece
THE OAK CITY LABS APP DEVELOPMENT BLOG
Code can get a little intimidating.
Let’s break it down, 101 style.
The Oak City Labs blog features articles written by our team to help you better understand the world of custom development.
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Preparing Students for Jobs that Don’t Yet Exist
At the end of next month, I’ll be hanging up my project manager hat and embarking on a new journey. Over the past year, I’ve been balancing my role here at Oak City Labs with graduate school as I’m pursuing my Master’s of Arts degree in Teaching from Meredith College. Though I’ve spent the better part of the past decade working in the technology industry
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Interface Builder Needs a Swift Upgrade
Swift materialized four years ago at WWDC in June 2014. At the outset, the language was intriguing, but the tooling was…let’s say minimal. Xcode has steadily improved since then — we can even refactor now! But one big chunk of the toolset hasn’t been Swiftified. Interface Builder (IB) stands stoic and steadfast in the face of change.
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Neural Networks with Structured Data
In my last post I shared how to train an image classifier on your own image using the fastai library. To continue our machine learning journey, we will look today at how to train a model on structured data like that found in a database or a spreadsheet. Specifically, we will look at how to turn a list of categorical and continuous variables into a prediction for a single response variable.
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Computer Vision & Machine Vision 101
Today we’re back again sharing the basics of two not-so-emergent technology concepts and breaking down the basics between each: computer vision and machine vision. It is possible that you’re reading this blog and have never heard of computer vision or machine vision. The concepts are well-known and discussed within the technology but the same can’t be said for the
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Simple Image Classification with fast.ai
Today’s blog post will demonstrate some basic neural network code that uses the fast.ai library to train a model to categorize images into one of n categories and get predictions on single images. You can take this code and change it to train the model on any image categories you would like. You can take this code and change it to train the model
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Artificial Intelligence, Machine Learning & IoT 101
Machine learning (ML). Artificial intelligence (AI). Internet of Things (IoT). It seems these days there are so many complex terms flying about. In this blog, we’ll break down the basics and share how you’re experiencing these technologies in ways you may not have even realized. We can’t talk about machine learning without first discussing artificial intelligence.
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