You’ll find a small assortment of writing samples here, from ebooks (Introduction to data exchange) and guides (The customer success leader’s guide to successful data onboarding) to sponsored posts, persona- and use case-driven posts and fun tutorials. If you want to read more samples, please visit my profile on Medium, and if you’re looking for more specific information, please feel free to reach out anytime!
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Intro to deep learning
We live in a world where, for better and for worse, we are constantly surrounded by deep learning algorithms. In fact, you’re probably reading this article right now because a deep learning algorithm thinks you should see it.
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How to build an image classifier with greater than 97% accuracy
How do you teach a computer to correctly identify a flower when even you don’t know what it is? Let me show you!
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Data cleaning and preprocessing for beginners
If your data hasn’t been cleaned and preprocessed, your model does not work. Data preprocessing is the first step toward building a machine learning model.
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Simply deep learning: an effortless introduction
This article first appeared on Towards Data Science. What is an artificial neural network, how does it work, and what does it have to do with deep learning? Let’s start with a quick recap from part 1 for anyone who hasn’t looked at it: What is deep learning? It’s learning from examples. That’s pretty much the deal.…
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How to Set up Kaggle in Google Colab
You know where all those datasets are and you know where you want them to go, but how do you easily move your datasets from Kaggle into Google Colab without a lot of complicated madness? Let me show you!
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Convolutional neural networks and image classification
A notification pops up that someone posted a picture that might have you in it. It’s right. How did that happen? Image classification!
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