Let’s take a look at how we can use Deep Learning for Image Super-Resolution with Autoencoders. Comparison of the 480p input (left) to an Autoencoder trained for the task of image super-resolution, with it’s higher quality output at the same resolution (right). Recently, I have been reading about various image … Read moreImproving PewDiePie’s camera quality with Autoencoders

Let’s look at the word-normalizing code (from my previous two posts) one more time. The code we wrote previously works fine for a single word. It would even work fine for a few thousand words. But if we need to normalize millions or billions of words, it will take more … Read moreData science productionization: scale

Play with norms: https://www.desmos.com/calculator/wznruz7mxs Evaluation is a crucial step in all modeling and machine learning problems. Since we are often making predictions on entire datasets, providing a single number that summarizes the performance of our model is both simple and effective. There are a number of situations where we need … Read moreWhy Norms Matters — Machine Learning

That boosted my understanding, skills and confidence tremendously when I first started out in data science Before digging into the awesome resources I know and trust, an important disclosure: Some of the links below are affiliate links, which means that if you choose to make a purchase, I will earn a … Read moreThe Single Course That Fast-Tracked My Data Science Learning Journey

Statistical Models vs Machine learning — Linear Regression Example It seems to me that the similarity of methods that are used in statistical modeling and in machine learning has caused people to assume that they are the same thing. This is understandable, but simply not true. The most obvious example is the … Read moreThe Actual Difference Between Statistics and Machine Learning

Counterpointing Bach’s Rules of the Road With American Populist Music “Thnking Outside the Bachs” by Max Harper Ellert I had fun this week playing with the Google Doodle to create Bach harmonies from simple melodies. Looking through some of the articles about the process of melding A.I. and the principles of counterpoint … Read moreDe-Googling Bach: Counterpointing Bach’s Rules of the Road With American Populist Music

Corner detection has been an important subject in image processing. It is essential and important, because it helps us find the unique features in images. There are several methods for detecting corners in images. The most famous one, that I assume, is Harris Corner Detection. After I read about it … Read moreCorners in Images and Angular Representation of Their Relationships

We teach machine learning in quite an onorthodox fashion: by letting participants turn a real sailing yacht into a sail racing robot. In this blog post we will take apart this challenge and focus on the first sub-task: using machine learning to find the optimal course to steer in a sailing … Read moreHow to build an Autonomous Sailboat Using Machine Learning

What AP does, in this case, is to penalize models that are not able to sort G’ with TPs leading the set. It provides a number that is able to quantify the goodness of the sort based on the score function d( , ). By dividing the sum of precision with … Read moreBreaking down Mean Average Precision (mAP)